Category : Digital Transformation

Digital Transformation

How MACH architecture enables agile & scalable digital solutions

Transforming digital experiences with MACH architecture

MACH architecture offers a framework for building adaptable digital solutions. It promotes a modular approach, using best-of-breed services and technologies to solve business challenges. MACH (Microservices, API-first, Cloud-native, and Headless) empowers organizations to create flexible, future-proof systems by enabling the composition of pluggable, scalable, and independently deployable components. This architecture is essential for businesses seeking to rapidly innovate and deliver exceptional user experiences in today’s dynamic digital landscape. Let’s look at some aspects of the MACH architecture:

Microservices:

Microservices within MACH architecture break down applications into independently deployable, small services. Each service focuses on a specific business capability and communicates using lightweight APIs. This approach fosters flexibility and rapid development, essential for today’s dynamic digital landscape.

API-first:

An API-first approach prioritizes APIs as the foundation for building applications and services. By developing APIs initially, organizations ensure all functionalities are accessible through standardized interfaces. This promotes integration, flexibility, and streamlined front-end development.

Cloud-native:

Cloud-native applications are designed to fully leverage cloud computing capabilities. By utilizing cloud infrastructure, these applications achieve scalability, resilience, and flexibility. Unlike traditional applications, they can adapt to changing demands and ensure high availability.

Headless:

Headless architecture decouples a web application’s front-end/mobile app from its back-end. This enables independent development and management of the user interface and data storage layers. APIs deliver content, products, or services to any device, while content creators focus on content management without UI constraints.

 

MACH architecture driving digital experience

MACH architecture: driving digital transformation

MACH architecture is a cornerstone of modern software development. Its emphasis on agility, scalability, and flexibility aligns perfectly with today’s fast-paced digital landscape. By shifting from monolithic systems to composable architectures, MACH empowers businesses to innovate rapidly and deliver exceptional customer experiences.

  • Catalyst for market speed and agility: MACH architecture empowers businesses to match the market’s rapid pace and adaptability. This is achieved through accelerated development and deployment, as well as flexible scaling. Microservices, the foundation of MACH architecture, streamline development by breaking down applications into smaller, independent components. This modular approach expedites updates and improvements, enabling faster response to market shifts and customer demands. Cloud-native design is the other key element. It provides the agility to scale resources up or down in response to real-time needs. This dynamic approach optimizes costs while maintaining performance.
  • Enhances customer experience: MACH architecture significantly enhances customer experience through personalized and seamless digital interactions. The headless component empowers businesses to deliver tailored content across various platforms and devices, creating highly personalized experiences. By decoupling front-end and back-end, MACH offers unparalleled content flexibility. The API-first approach fosters seamless integration of functionalities, resulting in a cohesive and engaging user journey. This enables richer feature sets and smoother interactions.
  • Future-proofing and continuous innovation: MACH architecture positions businesses for long-term success by enabling future-proofing and continuous innovation. Its modular structure facilitates seamless integration of emerging technologies like AI, IoT, and machine learning. This adaptability accelerates innovation and market entry for new solutions and services. Beyond agility, MACH offers sustainable scalability. Businesses can expand operations without compromising performance or efficiency. This ensures long-term growth and operational viability.
  • Enhances reliability and security: MACH architecture significantly improves system reliability and security compared to traditional architectures. The microservices approach isolates issues, preventing system-wide failures. This ensures continuous operation and service delivery. The API-first design provides granular security control through controlled access points. This reduces vulnerabilities and strengthens overall system security.
  • Drives economic efficiency: MACH architecture optimizes economic efficiency through cost-effective scaling and resource utilization. Cloud-native infrastructure enables pay-as-you-go pricing, aligning resource consumption with actual demand. This reduces costs and promotes scalability without compromising performance. Microservices and API-first approaches further enhance efficiency by optimizing resource allocation, simplifying updates, and streamlining processes.

By combining agility, adaptability, and economic efficiency, MACH architecture empowers businesses to implement advanced digital solutions while effectively managing financial resources and operational costs.

Real-life examples of MACH architecture

  • Contentful: A cloud-native content management system that uses a Headless architecture to deliver content across multiple channels and devices. It is API-first, enabling developers to create custom content models and integrate with other systems and services efficiently.
  • Shopify: A cloud-based e-commerce platform employing a Headless architecture, allowing developers to create custom storefronts and shopping experiences. As an API-first platform, Shopify facilitates easy integration with other systems and services.
  • Moltin: A cloud-native e-commerce platform built on a Microservices architecture, allowing developers to quickly and easily create custom e-commerce experiences. It is also API-first, simplifying integration with other systems and services.
  • Algolia: A cloud-native search-as-a-service platform using a Microservices architecture to provide fast and flexible search experiences. Like the others, Algolia is API-first, allowing seamless integration with other systems and services.

These examples illustrate how MACH architecture can create flexible, scalable, and personalized digital experiences across various industries and use cases.

Monolithic architecture vs MACH architecture: A Comparison

Monolithic architecture and MACH architecture represent two distinct approaches to creating digital experiences. Below is a comparison between them:

iMACH architecture and Monolithic architecture comparison

The choice between Monolithic and Microservices should be based on carefully considering the specific requirements and trade-offs of the project at hand.

Evaluating MACH architecture

Determining if MACH architecture suits your digital projects requires considering several factors:

  • Business Needs: Assess MACH’s alignment with your organization’s goals, focusing on scalability, flexibility, speed, and personalization.
  • Technical Expertise: Evaluate your team’s capabilities or the need for external expertise to implement MACH architecture.
  • Integration: Determine MACH’s compatibility with your existing systems and infrastructure, including cloud readiness.
  • Cost: Analyze the financial implications of adopting MACH, including infrastructure, tools, and personnel investments.
  • User Experience: Assess MACH’s potential to enhance personalization, page load times, and overall customer engagement.

In conclusion, MACH architecture is a transformative approach that empowers organizations to build adaptable, scalable, and customer-centric digital solutions. By embracing microservices, API-first principles, cloud-native technologies, and headless architecture, businesses can unlock new opportunities, accelerate innovation, and deliver exceptional experiences. While the journey to adopting MACH may present challenges, the long-term benefits in terms of agility, efficiency, and competitive advantage are undeniable. As the digital landscape continues to evolve, MACH architecture stands as a robust foundation for future-proof success.

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Customer Experience Digital Transformation Media, News & Entertainment

Beyond the mainstream: why streaming brands are embracing niche audiences

Niche Streaming: A Comprehensive Guide to Building a Loyal Audience

The digital landscape is witnessing a surge in niche streaming services. This rise can be attributed, in part, to a growing sense of fatigue with the homogenized offerings of mainstream entertainment. Viewers are increasingly seeking content that caters to their specific interests, a trend that established entertainment brands are noticing. Faced with a saturated mainstream market, these established brands recognize the potential of niche audiences. Niche services capitalize on this by offering a unique value proposition: a deep dive into specific genres, regions, or use cases. This laser focus fosters passionate communities around shared interests and unlocks a world of content that resonates deeply with viewers.

However, navigating this specialized world comes with its own set of challenges. Niche providers must grapple with content acquisition complexities. Securing rights for niche content often involves intricate negotiations with rights holders who may have specific demands or expectations. Additionally, the technical requirements for delivering diverse content formats, from high-definition videos to live streams, necessitate a robust technical infrastructure. Managing high data volume and peak traffic periods and ensuring low latency for seamless streaming are all crucial aspects for niche services to consider. Despite these hurdles, the potential rewards for niche streaming services are significant, offering a loyal and engaged audience base eager to explore content tailored to their passions.

Overcoming challenges: strategies for niche streaming success

Niche streaming services offer a unique and focused experience, but success requires navigating several hurdles. Here’s how leveraging technology can help:

  • Content acquisition and security: Securing rights for niche content can be complex. Effective strategies include building relationships with independent filmmakers, partnering with content distributors, and leveraging micro-licensing agreements. Implementing robust security measures like content encryption, secure user authentication, and regular security audits is essential to protect content and build trust with rights holders.
  • Technical delivery and scalability: A robust technical infrastructure is crucial for delivering high-quality streaming experiences. Content Delivery Networks (CDNs) optimize content delivery, ensuring smooth playback across different devices and regions. Cloud-based solutions offer flexibility and scalability to handle fluctuating traffic and support diverse content formats. For example, platforms like Netflix and Hulu have successfully utilized cloud infrastructure to deliver seamless streaming experiences to millions of users.
  • Engaging your audience: Building a loyal audience requires deeply understanding viewer preferences. Utilize data analytics to identify viewing patterns, content preferences, and engagement metrics. Create personalized recommendations, offer interactive features like live chats and forums, and leverage social media to foster a sense of community. Platforms like Twitch have successfully leveraged community engagement to build a solid user base.
  • Reaching new markets: Expanding globally requires careful consideration of language, culture, and regulations. Localize content, partner with local distributors, and explore emerging technologies like virtual reality (VR) and augmented reality (AR) to create immersive experiences. Platforms like Crunchyroll have successfully tapped international markets by offering anime content with localized subtitles and dubbing.

Overcoming Challenges and Leveraging Technology

Niche streaming monetization: strategies for success

Traditional one-size-fits-all models won’t cut it for niche streamers. Here’s how to optimize your revenue streams while keeping users happy:

  • Go beyond subscriptions and ads: Niche audiences are willing to pay a premium for tailored content. Explore pay-per-view, merchandise, and premium memberships with exclusive perks. Diversify income and deepen audience connections.
  • Targeted advertising wins: Leverage user data for highly relevant ads that resonate with viewers, boosting engagement and ad revenue.
  • Strategic brand partnerships: Collaborate with brands for sponsored content. Promote brands relevant to your audience while generating new revenue streams.
  • Bundled services attract and retain: Offer bundles with complementary services like music streaming or digital magazines. This increases perceived value and reduces churn.
  • Tiered pricing for flexibility: A tiered pricing model caters to diverse budgets. Users choose the level of service and content access that suits them, maximizing revenue potential.

Monetization Strategies for Niche Streaming

Niche platforms: building communities and empowering creators

Niche platforms are carving a unique space in the digital world by fostering passionate communities and empowering creators. Here’s how:

  • Curated content for targeted audiences : Niche platforms specialize in specific interests, offering a carefully chosen selection of content that resonates deeply with viewers. This laser focus attracts individuals who share a common passion, fostering a strong sense of community.
  • Direct connection for creators: Niche platforms provide a valuable platform for smaller publishers and creators to bypass large platforms and connect directly with their target audience. This empowers creators to build a loyal following and potentially monetize their content more effectively.

Examples in Action:

  • Faith-based platforms: Pure Flix and Hillsong Channel cater to Christians by offering faith-based movies, shows, and documentaries. These platforms provide a dedicated space for viewers to connect with their faith and discover content that aligns with their values.
  • Cooking platforms: Food Network Kitchen and Tastemade offer a haven for culinary enthusiasts. Viewers can enjoy various cooking shows, explore new recipes, and engage with other food lovers, creating a vibrant online community.
  • Local sports streaming platforms: Regional sports networks launch streaming services, allowing fans to access local teams and games directly. This caters to passionate local sports fans who might not be interested in traditional national sports packages, offering a more targeted and personalized experience.

Niche streaming: futureproofing for growth

The niche streaming landscape is constantly evolving. Here’s how to stay ahead of the curve:

  • Hyper-personalization: Anticipate the shift towards hyper-personalized content. Utilize AI and machine learning to create advanced recommendation systems that cater to individual viewer preferences and boost engagement.
  • International expansion: Explore overseas markets for growth. Be prepared for challenges like localization, cultural adaptation, and regulations. Strategic planning and market research are crucial for success.
  • 5G impact: The rise of 5G networks will revolutionize streaming. Leverage 5G’s potential for superior streaming quality and accessibility to offer live streaming and high-definition content, improving the viewer experience, particularly in underserved areas.
  • Emerging market content: Identify opportunities for localized content tailored to specific markets. Understanding regional preferences allows niche services to expand their audience base and global reach—partner with local creators to enrich content libraries and broaden appeal.
  • Strategic collaborations: Partner with content creators, distributors, and other platforms to significantly expand your offerings. This collaboration helps compete with more prominent players and deliver viewers a more diverse and engaging content library.
  • Dynamic market segmentation: Continuously analyze consumer behavior to identify new niche opportunities. For example, consider how “quick commerce” has reshaped the retail landscape. Apply similar principles to identify emerging sub-niches within your industry.

Future Trends in Niche Streaming

Best practices for building a niche streaming platform

At Robosoft, we’ve helped numerous organizations develop engaging digital platforms catering to specific audiences. Here are some essential best practices we’ve learned along the way:

Research & Planning:

  • Understand your audience: Identify your target audience’s needs and preferences to determine their beneficial functionalities. What content are they looking for? How can you best serve their interests?
  • Identify Challenges: Consider potential roadblocks such as budget constraints, technical limitations, or competition within your niche.
  • Set goals: Define what you hope to achieve with the platform. Do you want to increase engagement, drive sales, foster community, or establish yourself as an authority in your niche?
  • Research existing niche platforms: Draw inspiration and discover best practices from other successful platforms in your niche. Analyze their strengths and weaknesses to identify opportunities for your platform.

Consult the Experts:

  • Technical guidance: Get advice on the best technical approach based on your requirements.
  • Feasibility insights: Gain insights into your platform’s technical feasibility, potential solutions, and ongoing maintenance needs.

Design & Development:

  • Wireframing: Create visual mockups to map the platform’s functionality and user flow. This helps ensure a smooth and intuitive user experience.
  • Theme selection: Choose a visually appealing and user-friendly theme that aligns with your brand identity and resonates with your target audience.
  • Feature integration: Implement the functionalities identified during the planning stage, ensuring a seamless user experience. This might include content management systems, community features, e-commerce options (if applicable), and analytics tools.

At Robosoft, we specialize in crafting digital platforms tailored to niche audiences. With a proven track record in sectors like faith and sports, we excel at understanding target demographics, curating engaging content, and fostering vibrant communities. Our expertise empowers creators and drives platform success. By offering a curated experience and fostering direct connections, niche platforms build loyal audiences and shape the digital landscape for creators and viewers alike.

Want to build a niche streaming platform? Talk to us now.

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Digital Transformation Technology

Data Visualization and Digital Transformation: A Powerful Partnership

Data visualization is the process of translating data into a visual format, such as a chart or graph, to make it easier to understand and interpret. It is the key to unlocking the insights hidden in your data. It is a powerful tool that can be used to communicate insights, identify trends, and make informed decisions.

Data visualization is becoming increasingly important in today’s data-driven world. Companies of all sizes use it to improve their operations, make better business decisions, and communicate their findings to stakeholders. However, data visualization can be complex to implement, and many companies face challenges such as a lack of expertise, limited resources, data silos, and compliance concerns.

A digital transformation partner can help companies overcome these challenges and get the most out of data visualization. With their expertise, experience, and resources, digital transformation partners can help companies develop and implement data visualization solutions tailored to their needs.

How to Get Value from Data Visualization: A Step-by-Step Guide

Data visualization is a powerful tool for communicating insights and driving action. However, simply creating charts and graphs is not enough. To get the most value from data visualization, it is essential to take a thoughtful approach that considers the goals of the visualization, the audience, the type of data, and the design principles involved.

Here is a step-by-step guide to help you get value from data visualization:

  • Define your objectives: What do you want to achieve with your data visualization? Do you want to inform a decision, drive action, or communicate a complex idea? Once you know your objectives, you can choose the right visualization type and design approach.
  • Know your audience: Who will be viewing your data visualization? Tailor the visualization to their knowledge and interests. Consider their level of expertise in the subject matter and preferred style of consuming information.
  • Choose the right visualization type: Many data visualizations are available, each with strengths and weaknesses. Choose a visualization type that effectively represents your data and aligns with your objectives. Some common types include bar charts, line charts, pie charts, scatter plots, and heat maps.
  • Simplify and focus: Keep your visualization simple and clutter-free. Remove any unnecessary elements that do not contribute to the message. Focus on highlighting the most critical insights or trends within the data.
  • Use appropriate scales: Ensure that the rankings and axes in your visualization are relevant and do not distort the data. Use linear or logarithmic scales as needed. Label axes, including units of measurement, to aid interpretation.
  • Emphasize storytelling: Craft a narrative around your data visualization. Explain the context, background, and significance of the data. Guide your audience through the story your data tells using annotations, captions, and headings.
  • Interactivity: Consider adding interactive visual elements, such as tooltips, filters, or drill-down options. Interactivity can engage your audience and allow them to explore the data independently.
  • Data integrity and accuracy: Ensure your data is accurate and current. Any errors or inaccuracies can lead to misleading conclusions or a lack of confidence in the tool. Cite your data sources and provide transparency about any data preprocessing or transformations.
  • Design aesthetics: Consider design principles like color choice, font selection, and visual consistency. Use color purposefully to draw attention to essential elements or to represent categorical data. Today’s audiences typically react better to flat design principles.
  • Test and iterate: Once you have created a draft of your data visualization, test it with a sample of your target audience to gather feedback. Continuously refine and improve your visualization based on user feedback and changing requirements.
  • Mobile and accessibility: Ensure that your visualization is accessible to a wide range of users, including those who are color blind in some spectrums. Optimize for mobile devices, as many people access data on smartphones and tablets.
  • Measure impact: After deploying your data visualization, measure its effects on decision-making or understanding. Analyze user engagement and gather feedback to assess whether your objectives were met.

By following these steps, you can create data visualizations that are informative, engaging, and effective. This approach is valuable because it helps to transform raw data into meaningful insights that can inform decisions, drive action, and communicate complex information effectively. Effective data visualization can make data more accessible, engaging, and memorable, leading to better-informed decisions and improved communication of insights to a diverse audience.

Benefits of Informative, Engaging, and Effective Data Visualization

Critical Attributes of a Data Visualization Tool

When choosing a data visualization tool, it is essential to consider the following critical attributes:

  • Ease of use: The tool should have an intuitive interface that is easy to learn and use, even for users with limited technical expertise.
  • Data integration: The tool should be able to import and connect to various data sources, including spreadsheets, databases, cloud services, and APIs.
  • Visualization types: The tool should offer various visualization types, including bar charts, line charts, pie charts, scatter plots, heat maps, and maps.
  • Customization options: The tool should allow you to customize the appearance of your visualizations, including colors, fonts, labels, and interactive elements.
  • Interactivity: The tool should support interactive features, such as tooltips, drill-down options, filters, and hover effects, to enhance user engagement and exploration.
  • Performance: The tool should be able to handle large datasets and complex visualizations without significant lag or slowdowns.
  • Export and sharing: The tool should allow you to export visualizations in various formats, such as images, PDFs, and interactive web formats, and easily share them with others.
  • Collaboration: If you need to collaborate on data visualization projects, consider tools that offer real-time collaboration features and version control.
  • Integration with other tools: Check if the tool integrates with other software you use, such as data analysis tools, business intelligence platforms, or reporting software.
  • Automation and templates: Some tools offer automation features and templates to streamline the creation of standard visualizations and reports.
  • Data security: Ensure the tool adheres to security and compliance standards, especially when working with sensitive or regulated data.
  • Cost and licensing: Consider the pricing model of the tool and the total cost of ownership.

 

Leading Data Visualization Tools

Optimizing Data Visualization: Key Errors to Avoid

The most significant mistake data visualization users make is misrepresenting or misinterpreting data due to poor design choices or a lack of critical thinking. This can lead to misleading or inaccurate conclusions and poor decision-making.

Some common errors and mistakes include:

  • Misleading visuals: They can include using inappropriate scales, truncated axes, or omitting data points.
  • Overcomplicating visuals: Trying to convey too much information in a single visualization can overwhelm the audience and make it difficult to discern the key insights.
  • Lack of context: Failing to provide sufficient context or background information to help the audience understand the data’s significance or the visualization’s purpose.
  • Ignoring data quality: Using incomplete, inaccurate, or improperly cleaned data can lead to incorrect conclusions and decisions.
  • Choosing the wrong visualization type: Select a visualization type that doesn’t align with the data’s characteristics or the message you want to convey. For example, using a pie chart to show time trends.
  • Ineffective use of color: Poor color choices can confuse or mislead viewers. Using too many colors, inconsistent color schemes, or failing to distinguish between categorical and sequential data can be problematic.
  • Omitting labels and legends: Missing or incomplete axis labels are often a key source of confusion. Data legends are also important. Be sure to include information about the represented start and end time period.
  • Not testing with the audience: Failing to gather feedback from the intended audience or stakeholders can result in visualizations that don’t effectively communicate the desired message.
  • Overloading with data: Visualizing massive datasets without proper aggregation or summarization can result in cluttered and unreadable visuals.
  • Copying reports without adapting: Simply replicating the visualization format of previous information on new data without understanding the appropriateness for that unique situation or audience.
  • Failure to update: Not updating visualizations with new data or changes in the underlying dataset can lead to outdated and potentially misleading information.

To avoid these mistakes, data visualization users should:

  • Prioritize data accuracy: Ensure the data is clean, complete, and current before creating any visualizations.
  • Maintain a critical mindset: Be aware of the potential for bias and deception in data visualization. Question your assumptions and challenge the status quo.
  • Seek feedback: Get feedback from the intended audience or stakeholders before sharing your visualizations.
  • Invest time learning best practices in data visualization: Many resources are available to help you create compelling and informative data visualizations.

Effective data visualization is more than just creating appealing graphics; it’s about accurately communicating meaningful insights from data. By avoiding the mistakes listed above and following the tips provided, you can create data visualizations that are informative, engaging, and trustworthy.

How can a Digital Transformation Partner Help Enhance Data Visualization?

A full-service digital transformation partner can add significant value to a data visualization tool by:

  • Customizing data visualizations: Developing custom data visualization components tailored to the specific needs and requirements of the company’s clients. This may involve creating unique chart types, dashboards, or data representation techniques not readily available in off-the-shelf tools.
  • Integrating with existing applications: Integrating the data visualization tool seamlessly into the company’s software applications can help ensure a unified and streamlined experience, allowing users to better visualize and analyze data within the context of their workflow.
  • Enabling real-time data visualization: Enabling real-time data streaming and visualization capabilities. This is valuable for applications that require monitoring and immediate insights into changing data, such as IoT (Internet of Things) applications or financial trading platforms.
  • Expanding data source connectivity: Expanding the visualization tool’s capabilities by enabling connections to various data sources, including databases, APIs, cloud storage, and external data providers. This flexibility allows users to work with diverse datasets.
  • Incorporating advanced analytics: Incorporating advanced analytics and machine learning capabilities into the data visualization tool. This can empower users to perform predictive analysis, anomaly detection, clustering, or other data-driven tasks directly within the application.
  • Developing custom reporting features: Developing custom reporting features that allow users to generate and export reports based on visualized data. This is valuable for business intelligence and data-driven decision-making.
  • Implementing robust security and access control: Security features like user authentication, profile-based access levels, and data encryption can help protect sensitive information.
  • Optimizing for scalability and performance: Optimizing the data visualization tool for scalability and performance to handle large datasets and a growing user base without compromising speed or responsiveness.
  • Ensuring cross-platform compatibility: Ensuring that the tool is compatible with various operating systems and devices, including web browsers, mobile devices, and desktop applications, to maximize accessibility.
  • Applying design thinking: Ensuring the overall experience meets users’ needs.
  • Gathering feedback and iterating: Continuously gathering user feedback to identify areas for improvement and refine the data visualization tool’s features and usability.
  • Ensuring compliance with data privacy and regulatory requirements: Ensure that interactive user features such as drill-down capabilities do not inadvertently expose sensitive customer data in ways that were not intended.

digital transformation partner help transform data visualization

 

Adding these value-added features and capabilities to a data visualization tool, a full-service digital transformation company can add considerable value and provide clients with more powerful tools for extracting insights from their data. This can increase customer satisfaction and create a competitive edge in industries that rely on data-driven decision-making.

data visualization and digital transformation a powerful partnership

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Digital Transformation Media, News & Entertainment

The Streaming Wars: A New Era of Collaboration and Consolidation

The media & entertainment industry is undergoing a significant transformation driven by the rise of streaming services. Traditional TV packages are declining due to their high prices and bundles of channels that many people don’t watch. In their place, many streaming services offer consumers a la carte content at a lower cost.

This shift in the market is forcing media companies to rethink their distribution models and partnership strategies. To survive and thrive in the streaming era, they need to find ways to deliver their content to consumers in a way that is both convenient and affordable.

One trend is the rise of hybrid distribution models. This involves offering content through a combination of traditional and streaming channels. For example, a media company might make its content available on a streaming service and sell it to cable or satellite TV providers. This gives consumers more choice and flexibility in watching their favorite shows and movies.

Another trend is the growth of partnerships between media companies and technology giants. These partnerships can help media companies reach a wider audience and reduce costs. For example, Netflix has partnered with Microsoft to deliver its content to users via the Microsoft Cloud. This partnership will help Netflix scale its operations and improve its streaming service’s quality. Similarly, ESPN is in talks with other tech giants like Amazon and Apple as The Walt Disney Co. continues to search for a strategic partner for its sports streaming channels.

The future of the media and entertainment industry is uncertain, but one thing is sure: distribution models and partnership strategies will continue to evolve. As the industry adapts to the changing landscape, consumers will have more choices and control over their media consumption.

Distribution and Partnership Models in the Future of Media and OTT

Distribution and Partnership Models in the Future of Media and OTT

Warner Bros. Discovery and Amazon partnered to make HBO Max available on Amazon Prime Video Channels. This partnership exemplifies media companies partnering with tech giants to reach a wider audience, reduce costs, and consolidate the streaming industry.

Here are some specific predictions about how distribution models and partnership strategies in the Media and OTT space will evolve in the future:

Consolidation of streaming services

The current market is overcrowded, with too many streaming services competing for a limited number of subscribers. This is driving up content costs and making it difficult for streaming services to profit. Some platforms merged or formed partnerships to counter this, bundling their services to offer subscribers more value.

In the future, we will likely see consolidation in the market, with the weaker streaming services being acquired or shutting down.

Content costs will become more reasonable

As the market consolidates, content costs will likely come down. Fewer streaming services will compete for the same content, driving down prices.

This will make streaming services’ profit easier and offer consumers more competitive pricing.

Technology platforms will become more cost-efficient

The cost of streaming technology is also coming down. This will allow streaming services to offer a better user experience without increasing prices. This will be enabled through:

  • Use of AI/ML – Artificial intelligence will automate tasks like transcoding and content recommendations. This can help to reduce costs, as streaming services do not need to hire as many employees to perform these tasks. Machine learning could be used to improve the efficiency of streaming services. For example, machine learning can predict which content users are most likely to watch, which can help reduce bandwidth costs.
  • Use of open-source software – With many source-free software getting churned out in the market, they are doing as well as any paid software, especially in the video editing space, and can be modified to meet the specific needs of streaming services. This can help to reduce costs, as streaming services do not need to develop their software.
  • Use of data analytics – Data analytics will be used to understand user behavior and preferences in a much more effective way. This information will be used to improve the content selection and recommendations of streaming services, which can help to attract and retain subscribers.

These emerging technologies like AI/ML, open-source software, and data analytics are reducing streaming costs and improving user experiences.

In addition to the trends mentioned above, a few other factors could shape the future of distribution and partnership models in the Media and OTT space. These include:

  • Growth of international markets: Streaming services are becoming increasingly popular in international markets. This presents new opportunities for media companies and technology giants to partner and deliver content to a global audience.
  • Rise of new technologies: Developing new technologies, such as virtual and augmented reality, could open new possibilities for delivering media content.
  • Changing habits of consumers: The way that consumers watch media is constantly evolving. Streaming services must be flexible and adaptable to keep up with these changes.

The trends discussed above will have a significant impact on consumers. Consolidating streaming services could lead to higher prices, but it could also lead to more comprehensive offerings and better user experiences. The rise of new technologies could open up new ways for consumers to watch their favorite content, and changing habits of consumers could lead to new subscription models and pricing options.

The Future of Streaming: Consolidation, Partnerships, and Content

The streaming wars are consolidating and collaborating, with major players partnering to create more comprehensive offerings. Industry analysts believe consumers are now less willing to subscribe to multiple services, leading to a more sustainable model for the streaming ecosystem. Platforms are focusing on retaining existing subscribers through a focus on content.

While the streaming wars may not be over, there is a growing sense of resolution and stability in the industry. Consolidation, partnerships, and a focus on content have created a more sustainable streaming landscape. Viewers can expect continued competition and innovation, but the era of cutthroat battles for dominance gives way to a more balanced and content-driven future for streaming services.

The future of distribution and partnership models in the Media and OTT space is uncertain, but the industry is transforming significantly. The industry is adapting to the changing landscape and finding ways to deliver content to consumers conveniently and affordably. This is good news for consumers, who will have more choice and control over their media consumption. The trends and factors discussed above will all play a role in shaping the future of this dynamic industry.

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Digital Transformation

Digital Transformation in Education industry – Challenges & Solutions

“The modern student expects immediate results and real-time experiences, and if education can’t give them those things, we live in a second-class environment.”

The world will spend $7.3 trillion on education by 2025, and only 5% of that will be allocated toward digital education. This shows that education still has a long way to go before digital technological advancements are considered core strategies or skills.

Even though digital tools have the potential to change how students learn and how teachers teach, many schools and universities still need to use and implement technology well enough.

In this blog post, we’ll talk about why the education industry is still behind in adopting digital technology and what could be done to help it catch up.

#1: Attention Recession

A recent survey showed that up to 70% of Dutch students are unhappy with how lessons are taught now, especially in virtual classrooms. These students have said they would like more personalized lessons, more chances to work together, and more help from their teachers.

While some students have cited technical difficulties as a reason for poor attendance during virtual classes, it is important to note that the underlying issue is a lack of connection between teachers and students.

This disconnect highlights the limitations of a one-size-fits-all approach to education, which fails to consider each student’s unique learning needs. As a result, educational institutions face high dropout rates and increased stress levels for teachers and students. To deal with these problems, schools must use strategies that put personalized instruction first and give teachers and students more help. This will make learning more effective and less stressful.

The Solution? – Personalization and Gamification to Create Habit Loops

Institutions of learning need to prioritize personalized learning methods and offer flexible solutions based on each student’s strengths and weaknesses. This can be achieved by customizing courses to meet the specific needs of each learner.

Another effective strategy is to incorporate the gamification of education into mobile applications, utilizing game-based elements such as points, badges, rewards, and certifications to enhance engagement and retention and allow more adaptive learning. The ultimate objectives of implementing gamification include increased traffic, repeat visits, and higher student engagement.

This helps empower more blended learning, engagingly utilizing digital resources, and student-centered learning. It also helps to identify at-risk learners and provide the most effective support for each person, enabling lifelong learning.

Educational institutions must also implement a streamlined, intuitive platform with a user-friendly interface that guides students step-by-step through tasks and has multiple microservices to support the various disciplines. This type of system would benefit students and faculty and enhance collaboration among them.

#2: Underinvestment in Educator Training

Back in 2013, the Los Angeles Unified School District initiated a program to furnish every student with an iPad to augment technology access and improve the classroom experience. However, the program was beset by various challenges from its inception. One significant challenge was the need for more appropriate iPad content and resources.

Furthermore, many teachers reported needing to be provided with adequate training to utilize the technology in their classrooms effectively. Additionally, students were able to circumvent security features on the iPads, leading to non-educational usage. Another significant challenge was the program’s substantial cost, with a total expenditure of $1.3 billion.

This drew criticism from some who believed the funds could have been allocated to other educational programs. The program also encountered numerous security issues, with the personal data of students being compromised and students accessing inappropriate content.

Due to these challenges, the program was ultimately terminated, resulting in significant financial losses for the district. This case illustrates the importance of thoroughly assessing all training and support aspects before implementing educational technology and keeping up with the digital transformation industry trends.

The Solution? – Advancing the Skills to Utilize Technology

By hiring a full-service digital transformation agency, teachers and faculty can get specific, expert-led professional development to help them use technology better in the classroom. An agency can assist in the implementation process, providing ongoing support to ensure technology is utilized to its full potential. It can also provide the necessary support to overcome any technical difficulties that may arise while using technology in education.

 

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#3: Inability to Keep the Digital Equity

The proliferation of technology has the potential to bridge the digital divide. However, it also highlights existing educational disparities for students from different geographic regions and those from varying socio-economic backgrounds.

The Solution? – Implementing Connected Learning Communities through Digital Transformation

This helps students in faraway places connect with teachers, mentors, and peers from other places to solve this problem. It also provides valuable opportunities for collaboration and learning and facilitates professional development and the sharing of best practices among educators.

Using a mobile app with geo-location tracking technology can help this effort even more by putting students and teachers in touch with the resources and opportunities closest to them and most useful to them.

Room to Read

Robosoft helped Room to Read, an NGO, transform underprivileged children’s lives worldwide through technology. It developed an innovative online reading platform that provides children with access to a vast library of books, videos, and resources in over 28 languages, empowering them with the tools and knowledge they need to succeed in the future.

The platform also has videos that show teachers how to do practical reading activities with children. It also helps local writers and illustrators make culturally relevant and age-appropriate children’s books. This empowers the next generation of change-makers, inspiring hope and creating a better world.

#4: Minimizing Customer Acquisition Costs

With the modern student seeking immediate results and real-time experiences, universities face the challenge of providing assistance outside of traditional business hours. The inability to offer assistance to prospects seeking information during non-business hours could lead to a decrease in engagement on university websites and an increase in customer acquisition costs.

The Solution? – Deploy AI-powered Assistants to Enhance Customer Experience

Deploying automated digital assistants ensures students have access to information whenever they need it. Some tasks, like responding to frequently asked questions, are better suited for digital assistants than humans.
On the other hand, the university staff is better prepared to handle later-stage engagement, such as inviting students to visit the campus. This contributes to shrinking acquisition costs and more meaningful engagement with prospects.

 

Robosoft Edutech & Learning Case Studies

 

#5: Data Working in Silos

Many organizations need help to utilize the vast amount of data they collect effectively. They tend to categorize this information, with different departments collecting data on various aspects of their operations, such as website engagement and application rates.

However, this lack of data integration results in a lack of comprehensive understanding of their target audience, student engagement, and the institution’s ability to retain students from initial engagement to graduation.
This inability to effectively collect and integrate data puts the organization at a disadvantage. Without a complete and accurate understanding of their operations and audience, decisions regarding marketing, class creation, and other operations may not be based on complete information.

The Solution? – Adopt Data-Driven Technology

Higher education institutions must harness the power of data-driven technology and analytics to stay competitive in today’s data-driven world. By collecting and analyzing data on students, operations, and engagement, institutions can gain valuable insights that can be used to improve student outcomes, optimize resource allocation, and drive better performance.

Predictive analytics can also identify at-risk students early and intervene to improve outcomes. In addition, data-driven technology and analytics can help institutions with their marketing and enrollment efforts by identifying the key factors influencing enrollment decisions and targeting their marketing efforts more effectively.

#6: Absence of a Roadmap

Adopting new technology can be daunting for any organization, especially for large schools undergoing a digital transformation. A lack of strategy can pose a significant challenge, making it difficult to know how to achieve desired outcomes and measure progress.

The Solution? – Define a Set of Clear Objectives and Goals

To ensure a successful transition, it is crucial to establish a clear direction and objectives from the beginning. This includes outlining what the school hopes to accomplish by the end of the transformation and the steps it will take to reach this goal.

Additionally, providing support to educators throughout the process can help ease any anxiety and ensure a smooth transition. By outlining a comprehensive strategy that includes specific objectives, steps, and support, the school can not only keep the process on track but also measure progress and achieve desired outcomes.

How Can Robosoft Assist the Education Industry with a Successful Digital Transformation?

The education industry is facing a critical need for digital transformation to keep pace with the changing needs of students and educators. Robosoft can assist in this process by providing a wide range of solutions that help optimize the educational experience. These solutions include automating repetitive and mundane tasks, using AI-based technologies to personalize learning, providing analytics and insights to make data-driven decisions, implementing virtual and augmented reality technologies to enhance classroom experiences, and providing a secure and reliable infrastructure for online learning.

Robosoft can also assist in integrating new technologies, support the training of educators, and provide ongoing maintenance and support to ensure that the digital transformation in higher education is successful.

Additionally, Robosoft can help education institutions develop a comprehensive digital transformation strategy that aligns with their specific goals and objectives. By utilizing Robosoft’s expertise and solutions, education institutions can ensure they are well-equipped to meet the digital age’s demands and provide their students with the highest quality education. For more information on how to have a seamless transition to digital transformation, contact us.

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Banking, Financial Services & Insurance Digital Transformation Fintech Insurance

Digital Rising: Opportunities for the Wealth Management Sector

Wealth management was once the exclusive purview of financial advisors who managed the portfolios of a select, affluent few. Personalized portfolio plans and personal relationships drove such advice. The advent of digital technology has democratized many industries – and wealth management is no exception. As we know, in financial services, digital solutions are at the heart of the consumer experience.

The rise of fintech brands, especially those that help manage investments, is dependent more on technologies than on bespoke human advice, as it is all about scale. This has resulted in redefining wealth management as a service. According to a report by FactSet, investors across the wealth scale—from the mass affluent customer with $100 to invest to the ultra-high net worth (UHNW) client worth $10 million—are already embracing online platforms.

The key to digitalization success is targeting the right business areas, bringing in the right skills, and identifying the key processes to maximize value delivery. A comprehensive hybrid-advisory approach leveraging automation, data analytics, digital, and cloud solutions are the need of the hour.

The Key Pillars of Digital Experience in Wealth Management

Rapid technological advancements, changing investor preferences, and increasing financial awareness are prompting wealth managers to reconsider their customer engagement and business strategies. Digitalization helps modern wealth advisors create and understand their client personas better, moving away from “one size fits all” to a more customized approach. The right technology framework will lower infrastructure costs and improve the efficiency, speed, and scalability of the whole wealth management value chain.

Improving customer prospecting through AI/ML and digital onboarding

Digitalization through AI/ML can help wealth managers identify the right prospects and drive customer acquisitions through data-led personalized marketing. Its ability to combine data from various sources enables it to efficiently classify customer segments based on a variety of criteria, identify prospects using real-time data signals from social media, and generate dynamically personalized content for potential clients, all of which help to increase customer acquisition.

Digital Onboarding: Customer onboarding has traditionally required time-consuming manual documentation. However, many broker-dealers and other wealth management companies are digitizing and automating the process to enhance the client experience and save money.

The foundation for a long-term client relationship is established during the wealth management onboarding process, which includes the first serious interactions between an adviser and a client. Client onboarding processes include

  • Prospecting
  • Product selection
  • Regulatory checks
  • New Account Opening (NAO)

As a result, businesses are now able to onboard and serve more clients in less time and with fewer resources, maintaining their competitiveness in a market where investors and regulators are driving down fees. Firms with a robust digital onboarding experience will have a solid competitive advantage in the industry.

Achieving investor centricity through data analytics and management

Wealth managers need accurate and real-time data to assess investor sentiments, understand critical market parameters, and produce insights for quick investor decisions. Data can provide timely, pertinent, and actionable insights that can be used to create new (and enhance existing) product and service propositions, optimize channel management, generate higher returns through informed portfolio choices for the investor, and boost customer engagement, and customer retention.

Wealth managers can make wise decisions and appropriate portfolio modifications by using a quantamental investment technique that leverages sentimental analysis, alternative data, and return analytics. Most wealth managers have advanced their client analytics and advisory capabilities and are in various phases of development.

At present, wealth managers have most of their data locked in product silos and legacy systems. Before using advanced analytics, it is understood that access to precise and complete data is necessary. Wealth management companies need a client-focused, precise master data architecture that combines data from all points along the value chain. By increasing their investment in data management and analytics as part of their digitalization initiatives, wealth managers have a better chance of generating higher returns.

Personalized client experience at the front and center

Personalization is one way that advisors can stay competitive with other firms that may offer lower fees or higher returns on investments. According to a survey, investors are increasingly in need of personalized, goal-based planning and other specialized services. In the next two years, 58% of respondents said they would like personalized financial guidance.

Personalization as its name says is unique to each client. To build solutions that will work with whatever position the clients find themselves in, advisors have for decades always thrived on understanding their clients’ backgrounds and perspectives on risk. For instance, knowing information about a client’s household size, state of residency, and annual income are crucial data points in creating customized options that may be more suited for particular people.

Wealth managers can now offer personalized services at a reasonable cost, enabling them to better compete with firms that offer lower fees or higher returns on investments. Automated rebalancing and custom indexing are two examples.

Advisors can automate trading and rebalancing via automated portfolio allocation. And with the help of automated reporting tools, the adviser can inform a large number of clients about portfolio changes.

Enhancing digital investor management and advisory services

For the wealth management sector, it is crucial to offer a more holistic customer and advisory experience. In addition to the human touch, new-age investors are extremely drawn to digital personalization. Wealth managers may increase client acquisition by creating personalized content for potential investors using AI and data-enabled marketing. By increasing customer engagement, a redesigned digital experience can increase customer retention and give advisers more leverage.

A few of the main touchpoints are-

  • Omnichannel engagement experience: Extends “zero-touch” service by using customized solutions built on video conferencing, on-demand virtual meet (with human advisor), and bot-enabled self-service. Portfolio review and building can be performed over user-friendly virtual solutions accessible over multiple channels.
  • Data-empowered custom solutions: Includes chatbots and avatars that create a personalized and smoother investor experience, thereby promoting customer retention, upselling, and cross-selling. Many established firms are providing AI/ML-powered offerings to query investor portfolios and their holdings and provide data analytics on the performance of the securities in their portfolio.
  • Advisor mobile apps: Enables wealth advisors to organize their activities and handle customer interactions. These apps (for example, MyMerrill) can include functionalities like advisor dashboards and 360-degree visualizations of customers and their risk appetites.

Adopting a cloud architecture to improve scalability and operational efficiency

The Information Technology (IT) landscape within wealth management firms consists of legacy systems that maintain a high volume of financial data, which requires increasing maintenance efforts and costs. An increase in financial data will drive automation processes and solutions as automation and AI/ML become more integrated into wealth management services.

Cloud infrastructure can offer a more reliable alternative to internal legacy systems for handling the increased inflow of data at scale, as well as higher operational efficiency and improved agility/time-to-market. By identifying the migration’s decision paths, which will guide the cloud migration strategy through the assessment, design, build, and migration stages, wealth management firms can optimize their existing application portfolio for cloud adoption.

Robo-advisory: taking the stress out of investing

Robo-advisors use automated, algorithm-based systems to provide portfolio management advice. These services are created with customer-centric thinking, and the technology is developed based on their wants and needs.

Customers are drawn to Robo-advice for a variety of reasons. First of all, it entails lower transaction fees and smaller investment requirements. Secondly, it entails more effective investment management. This is because the majority of Robo-offerings offer portfolio management using algorithmically based automated investment solutions that automatically rebalance the customer’s portfolio’s asset allocation without requiring any activity from the user. Thirdly, it provides less experienced investors with more comprehensive advice. Finally, Robo-advice offers more transparency on each investment and how they are likely to perform. The digital interface of many Robo-advisors makes it easy for an investor to analyze their returns versus benchmarks and progress toward goals.

Robo-advice services, whether new-age start-ups or established ones, also have the potential to widen the availability of investment advice from high net-worth individuals to less wealthy investors. Designing robo-advice services for the mass affluent presents a challenge because the customers may have good investment knowledge or little to no investment knowledge, and there is no human advisor there to make sure that the customer has understood the advice they have received.

Robo-advice services that are well-designed assist customers in receiving the best advice for their financial situation and reduce the likelihood that they will purchase the incorrect product. An agile, customer-experience-led, iterative strategy that designs and tests various interaction patterns is the most effective way to do this; whether that be an interactive Web or Mobile App, Chatbot, or combination of multiple technologies, that is right for the persona of a customer using the service.

Enhancing Digital Experience across the Wealth Management Value Chain

Opportunities for digitalization are seen throughout the wealth management value chain. An integrated digital transformation that addresses all the relevant user touchpoints would make it possible for investors and advisers to have a generally improved user experience. Every component of the wealth management value chain can be linked to a digitalization lever (Front office, Middle office, and Back office).

  • Customer experience is adversely affected by front-office digitalization. The focus is on seamless engagement and improved digital user experience to reduce the turnaround time, increase process efficiency, and ensure a smoother customer journey by Big Tech and Fintech experience.
  • The middle office, which drives the core line of operation in wealth management, is firmly focused on data analytics. However, given the sensitive nature of client data protection concerns and legislation like GDPR and equivalent laws coming into place around the world, a controlled approach to data management and cloudification is the way forward.
  • Automation and cloudification are the main digitalization potential in the back office space. The user experience quotient is not very high primarily because the activities are more in-house driven rather than external stakeholder driven.

The Road Ahead

The need to stay digitally connected and have a lasting influence on investors and asset managers have accelerated after the global pandemic. The focus is on creating a digital ecosystem built on tools and measures for a touchless remote experience without compromising on quality, which may have permanently changed how people work.

From a service and product perspective, the focus is steadily moving toward personalization, driven by effective data analysis. The emphasis is now on specialized products, personalized advisory services, and flexible pricing structures for different investment classes. One key factor that unites these shifts is the proactive application of technology and accelerated digitalization, whether inorganically or organically.

Effective use of technology through an omnichannel delivery model is essential for people-centric and relationship-driven industries like wealth management to promote the right level of customer engagement. Firms can look forward to investing in in-house technology and aligning with tech vendors, for the timely implementation of modern investment solutions, keeping relevant to a variety of customer segments, and staying ahead of ever-increasing competition.

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Digital Transformation Travel, Tourism & Leisure

New Age Flyers Want a Seamless Airport Experience

An airport is no longer just a temporary home for passengers in transit or those making their way to scheduled flights. Airport users can spend their waiting time between flights at any of the retail outlets, food courts, gaming arena or lounge areas for infotainment/recreational experiences.

However, as more airports get privatized, they’re under pressure to show profitability by increasing their overall revenue with an emphasis on generating more revenue per customer. Considering the change in the nature of the airport experience, airport operators have the opportunity to transform the airport from a point of transit to a destination in itself. As a result, they can grow revenues by enhancing the emotional connection with customers and enabling a superior experience they would want to repeat – by crafting relevant digital solutions.

The Airports Council International shared an interesting overview of the airport economy:

Passenger satisfaction can be achieved in two ways at the airport – by ensuring seamless transit or by keeping them engaged during their time at the airport. In recent years, technology has proved to be the differentiator between a nightmarish or boring experience, and a memorable experience they would eagerly repeat. As illustrated below, there are infinite touchpoints at the airport where technology can help airport management design a welcoming and intuitive experience for passengers.

Passenger touchpoints at the airport

The need for a unified and seamless experience for airport users

Many airports offer a fragmented customer experience as they force passengers to crisscross different touch-points from the point of entry through to parking, check-in, baggage, navigation, food and recreation, boarding, immigration, and so on. Often, they lack a single source of information and don’t have digital means to pre-book or check availability of certain services such as lounge area etc. In specific cases of first-time travelers or elderly flyers, navigating through busy, large airports can be overwhelming and disorienting.

Current airport structure

However, through technology interventions, airports can go a long way to provide a more unified and harmonious experience for airport users. For example, they could develop a mobile-based app or website that integrates the passenger’s journey at various touch points and enables a single point of information for all their needs from the time they arrive, transit, and depart from the airport.

Here, we illustrate the different possible ways in which technology can intervene to enable a unified and seamless airport experience.

Technology enabling a unified and seamless airport experience

Many airports, including the best, busiest, largest, and popular ones, are implementing some of these digital solutions. Here, we present some of the innovative use cases that are emerging as a result.

Simplifying the passenger experience through technology

Airports of the scale of Changi or Heathrow are among the busiest in the world and navigating through these crowded spaces can be a stressful, even tedious experience for passengers. Listed below are some of the passenger-centric digital paths that are redefining and simplifying the airport experience across different touch points.

#1 Smart parking – Airports can integrate a parking solution on their app/website that allows passengers, especially those who are hard-pressed for time, to reserve spots in advance. They can use their allocated QR codes to pay for this service and enjoy the benefits of knowing exactly where to park and plan their travel/commute accordingly. This can address the stress points and improve efficiencies for airport authorities and passengers as well.

#2 Easy navigation enabled by Augmented Reality (AR) – Passengers can use AR guided navigation on their phones to find their way through vast airport spaces, avoid crowded spaces, find the least congested lounge areas or restrooms, and get to their destination gates faster, especially when they are running late. The UK’s Gatwick airport has invested in beacon technology in the form of 2,000 battery-powered Bluetooth Low Energy beacons for this purpose. Also using beacon technology at United Airlines’ Newark airport hub, its app users can pin their location inside the airport and be guided to their boarding gate, ATM, restroom, dining area, waiting areas and more. This is drastically reducing travel day friction for the airline and its passengers at the airport. Other approaches being developed in this area include built-in mobile sensors and cloud-based AR that superimposes user-centric digital content over physical objects.

#3 Information and navigation with robots as guides can provide flight-based information to help passengers navigate through the airport unhampered. British Airways has invested in autonomous robots who interact with passengers at Terminal 5 in multiple languages and keep them informed with real-time updates. Also at Heathrow’s busiest terminal, self-driving luggage vehicles are being used to trim down lengthy waiting lines. The future for robots at airports looks promising with other airports including Seoul, Munich, and New York’s LaGuardia also trying out autonomous machines on their premises. Robots will take over check-in processes by the end of the decade predicts a 2020 report by Vero Solutions.

#4 Wheelchair assistance using AI & ML – Clever implementation of AI and ML can help those with mobility challenges or sensory impairments who need to be assisted through airport procedures including check-in, security, baggage claim etc. An innovative example of this is being implemented at India’s Sardar Vallabhbhai Patel International Airport in their AI-based surveillance desk that will serve senior citizens, infants and other passengers seeking timely wheelchair assistance in case of an emergency.

Enhancing leisure and entertainment at airports

The convenience industry is growing significantly as people expect everything to be delivered wherever they are. Digitalization is enabling this along with time saving, cost-saving benefits for the airport authorities who need to deploy fewer staff for various processes. For passengers, the biggest advantage is less time spent at the airport as they don’t have to come hours in advance to the airport to complete checking in before boarding their flights. But there are times when passengers are forced to have long layovers especially, in international travel. Here, the airport management knows that real value comes from offering premium services in ways that make users feel the premium-ness of the experience.

Airports are using several technology deployments to create a premium leisure experience and increase their non-aeronautical revenue.

#5 One-stop-shop for all travel-related info, especially when traveling in countries where passengers don’t understand the local language, having a single app can smoothen their transit with timely notifications to move from point A to B and so on seamlessly. If their layover is lengthy, they could also benefit from local travel suggestions, and personalized offers and recommendations for leisure, entertainment, food as well.

#6 Gamification opportunities at the airport – Authorities at Cochin’s International Airport introduced interactive video games to inform passengers of first-aid principles for heart disease. Gamification will allow new-age travelers who have long layovers to entertain or distract themselves. There could be a competitive element introduced by offering players discounts or airport-specific reward points that can be redeemed at retail or duty-free outlets. Airport authorities can also draw more attention to certain portions of the premises such as lounges and direct people towards these in order to decongest other parts of the airport.

#7 Using geofencing/ beacon technology and location, airport apps may be able to push targeted offers and messages to people at the airport. For example, the Miami International Airport app sends offers and recommendations to travelers prompting them to patronize food and retail outlets.

The age of the digital airport is here

Technologies like AI/ML, AR/VR are holding sway in the market as they continue to disrupt, enable, and engage passengers with the power of digital experiences at airports. These digital solutions offer benefits to the airports, airlines, and travelers alike and the opportunities that they open up, are truly infinite.

Using these solutions innovatively, airports certainly have significant potential to grow non-aeronautical revenues while strengthening ecosystem relationships and addressing some of the inherent complexities and pain points in the industry. These possibilities are captured in the visual below.

Nevertheless, the new-age traveler still expects the human touch to an extent. Therefore, airport authorities must refrain from blindly investing in technologies, which can be costly and ineffective. Instead, they need to take an iterative approach to digitalization and create a clear blueprint of the right technologies and tools that retain enough of the physical aspects to make the digital airport experience real and memorable.

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Digital Transformation

From the Ford Model T to IoT: the automobile revolution

When motorized vehicles were first seen in the early 1800s, these ‘horseless carriages’ were perceived with ‘magic and wonder’. They brought with them a paradigm shift in the way people moved and lived.

In 1902, Henry Ford built his own ‘horseless carriage’, but had already failed twice at manufacturing commercial automobiles. It was his partnership with Alexander Y. Malcomson, Detroit’s largest coal dealer, that helped him succeed with his third attempt – . Ford’s Model T.

He revolutionized mass production of these ‘magical vehicles’ that were affordable and targeted at the masses. Using assembly lines, around 10,000 cars were being produced each day; this was a milestone moment in automation for the entire manufacturing sector, changing the very nature of production. Over the years, several car manufacturers entered the fray and automation in the manufacturing sector increased several fold, sparking a revolution in the manufacturing industry.

The next milestone in automobile evolution is here – digitalization is sparking a new revolution for the sector, redefining personal transportation yet again. New horizons are emerging around digitalization, especially through ‘Industry 4.0’ and Industrial Internet of Things (IIoT).

Digitalization is re-defining mobility and the car ownership experience

Digitalization and automation are re-defining mobility and can be seen as a win-win for both, car owners and automobile manufacturers.

While cars were earlier seen as a luxury, they have now become a necessity and an integral part of lifestyle experience. They are much more than just means of personal commute. Apart from the avenues that mobility opened up for them, car owners are now ready for a new relationship with their vehicles, through smart cars and in-built ‘digital assistants’.

Digital is bringing next automobile revolution

For car manufacturers, digitalization is helping them maintain an ongoing and direct relationship with their customers, apart from getting access to data collected by these smart vehicles. This data is helping car manufacturers get insights into the ownership experience, driving behavior and vehicle response in different conditions, which aids their future development and business strategies. Digitalization is also automating the manufacturing processes with new efficiencies and helping them innovate on behalf of consumers with partners in the ecosystem, such as dealers and insurance providers.

Manufacturers are increasingly relying on technology across their processes

Automobile manufacturers are depending on digitalization like never before. Digital technologies are being applied across processes, right from product design to customer engagement. These include:

  • Digital technologies are being used for product and process simulations, closing the gap between product design and manufacturing feasibility. With virtual prototypes reducing cost of research and development, it is also leading to faster production and easy management of complexities.
  • With Supply Chain 4.0, supply chain management and logistics have become more automated.
  • Dealers and service networks are now closer to the automobile manufacturers, thanks to digitalization. Dealerships have become touchpoints for customer experience.
  • With customers moving to digital buying experiences, sales and marketing is embracing new technologies to include personalization and improve the car buying experience.

Digital technologies fulfill the promise of personalized mobility

With the advent of ‘smart’ cars that often come inbuilt with digital assistants, the relationship that people have come to have with their vehicles has transformed. Right from research around the kind of vehicle they want to buy, to the purchasing cycle that follows, people are turning to online channels or a combination of online and physical channels. This is the reason that many automobile manufacturers are turning to digital channels – to attract buyers and maintain a sustained relationship with customers.

With increasing digitalization, the driving experience has also seen a transformation. Smart cars are improving the driving experience in a myriad of ways – by informing their owners about the time taken to reach their destination, vital parameters such as air pressure in the tires, roads to avoid, parking assistance, speed warnings – and this is just the beginning.

Dashboards in cars have been reimagined and now are a portal for a host of infotainment and telematics services. In-car digital assistants not just improve conveniences, but also offer a host of services, such as vehicle tracking, security and 24/7 road assistance in case of any breakdown/ accident.

Reshaping public commercial transportation

Digital disruption is also now igniting imagination of new systems around public and commercial transportation. Online ticketing, online payments, tracking and other digital options are now seen as pre-requisites of an efficient public transport system. But to popularize use of public transport, urban planners are looking at the opportunities digitalization has to offer.

Digital solutions for fleet management and route optimization are being used by several public transport operators across the world, while apps integrating different modes of public transport – buses, trams, metro rail, mono rail etc. – are either already in use or are being developed in several cities.

The future of transport with autonomous, electric, connected and personal vehicles

The automobile sector is going through another paradigm shift. With climate change now more real than ever, automobile manufacturers are investing heavily in electric vehicles. Research is ongoing into the sphere of autonomous or self-driven cars, which is likely to herald a completely new era of transportation.

Despite the ground-breaking research and huge investment in these areas, car ownership has seen a decline. Towards this end, shared mobility, such as ride sharing or carpooling, could see a rise in the future.

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Digital Transformation

Building Blocks for Successful Digital Transformation Programs: my experiences from Japan

Digital transformation or DX can be defined as bringing cultural, organizational, and operational changes in the organization, and across entire ecosystem through digital technologies, processes, and competencies across all function levels.

Over the past few years, Japanese companies have been focusing on digital transformation and modernizing their businesses to accelerate their growth. Pandemic gave an opportunity to further accelerate the transformation for the organizations.

Current scenario: Digital Transformation is serious business

Not just businesses, but even the Government of Japan is showing a keen interest in digital transformation and sees that as an opportunity to drive up productivity and build a stronger nation. They have set up an ambitious plan called Society 5.0 which is defined as ‘a human-cantered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space’. In order to meet this objective they aim to integrate cyberspace & physical space, use technologies such as AI, IoT and Robotics.

However, certain structural challenges such as the ageing population and increasing skills gaps have hindered their digital transformation efforts. According to IMD’s Digital Competitiveness metric 2021, digital talent in Japan is just 1% of its entire workforce and the country ranks 28 in digital and global competitiveness. Further delays in digital transformation could jeopardize their position as the third-largest economy.

Japan Digital Score Card

Japan Digital Score Card, Source: Deloitte

Improvement in workforce productivity especially in the areas of digital experiences has been a challenge for several years. Japan has a digital workforce productivity of 7.6 as compared to US which is at 13.3.

I have lived and worked in Japan for almost a decade and my areas of expertise span across IT Consulting, large-scale Digital Transformations, bootstrapping IT setup and scaling it across organizations to drive business growth. Based on my interactions with business and technology stakeholders across leading organizations in Japan, I would like to explain how this problem can be tackled efficiently.

Challenge #1: Understanding the “WHY” part of transformation

McKinsey’s recent report on Transformation Change says that only 16% of digital transformations are successful. Lack of clear strategy could be one of the reasons for such a low rate. The ideal approach would be to start with a clear strategy. Start with knowing the ‘why’. For example, ask yourself why is digital transformation necessary? Will it increase the revenue or decrease the overall OPEX? Knowing the answer to the ‘why’ will give you a head start to a smooth and successful implementation. It is important to involve the Business & IT Strategy teams. The business strategy is the outcome that the company plans to achieve through transformation. The IT strategy involves the technologies that will be used to make the transformation successful.

Actionable tips

  • Build business-IT alignment and consensus. Research shows that better IT and business team alignment can improve operational efficiency by 58% and customer experience by 54%.
  • While both Business & IT teams find ways to build the consensus, IT teams can take the lead in explaining the values it can generate for the business. Visualization, road shows can help to solve this problem. They should be able to explain how the changes can help the business unit improve its productivity or enhance performance.
  • Seek help from a technology partner company to help you sharpen your technology strategy. This could be the best chance to overhaul your complete enterprise architecture as well.

Challenge #2: Resistance to change

Willingness to change is an important factor contributing to the success of Digital Transformation. Change in the mindset is very much required to improve the adoption of Digital Principles in running the IT of organizations.

According to McKinsey’s research, two out of three Japanese managers feel they are not fully prepared to undertake digital transformation projects. There’s also the fear of failure, as only 16% of projects in Japan have been successful. Getting executive and stakeholder buy-in is vital to greenlight the project with adequate budget and resource allocation.

DT readiness globally

Actionable tips

  • Stakeholder buy-in and continuous engagement is of paramount importance.
  • Organizational Change Management practices must be followed and a Change Manager must be appointed.
  • Take help from technology partner companies to develop a proof of concept (POC) or proof of technology (POT)
  • Robosoft, for instance, does lighthouse projects to build POCs and POTs. We pick up small-scope projects that can be completed within weeks and collaborate closely with the customer teams. We demonstrate the outcome, show that as quick wins, conduct demos and help to win the confidence of stake holders. We observed this helps the customers to overcome the fear of failure, encourage them to adopt technologies and set their foot in right direction.

Challenge #3: Increasing skills gap

Call it a symptom of ageing demography or the dynamic nature of technologies that change quickly, Japan has a shortage of skilled resources. 68% of Japanese companies cited human resources shortage as a challenge. The reports showed that the country has a massive shortage of artificial intelligence and data analytics specialists and a major factor for this problem is the lack of funding and support on new investments in digital areas. Cloud Engineering, Artificial Intelligence, Analytics is expected to grow to 15.6 million and it is high time for the Japanese Organizations to catch up with this speed.

ICT investments in Japan

Actionable tips

  • Ongoing wave of digital disruptions requires multitude of roles within the organizations. They must re-organize their IT teams and fill key roles such as Product Managers, Product Owners, Scrum Masters, Change Managers, Enterprise Architect, Data Analysts etc. Companies must understand the typical roles they would need to keep it in house and start hiring for the same
  • Organizations traditional thought process to outsourcing – While the organization is building its own team, it is also equally important to start identifying outsourcing partner with whom the internal teams can work and gain exposure.
  • Do not ignore your internal team of experts. The external partner brings global and technical expertise and experience. But the internal teams know the business processes and systems of the company well. They represent the company and know what they want. They act as a support function and subject matter expert to the external technology partner. Always take a hybrid approach wherever possible.

Challenge #4: Lack of meaningful relationships with external technology partners

Traditionally, Japanese companies rely heavily on external partner companies for system integration and other tasks that are ideally done by the in-house teams. However, most of these external partner companies have a tough time understanding the business needs and have limited ability to perform a full-scale digital transformation. It is important to evaluate the technical partner on multiple fronts before you select the right partner.

Actionable tips

What the CXOs expect in their partner companies before choosing one and why Robosoft can be the preferred choice.

  • Global expertise is a must have for partner companies. Working with multiple global organizations ensures understanding of a wider spectrum of business and solutions.
  • Working with larger organizations helps to clearly demonstrate best practices, do’s and don’ts of DX and get unbiased advice.
  • Time to market is always a critical factor. Technology Partner to have readily available and skilled talent pool.
  • Quality always matters. The availability of Subject Matter Experts in the domain and a strong Technical Team is imperative.
  • Ability to work as a trusted partner understanding the larger picture of business and to provide proactive solutions.

Challenge #5: Choice overload

There are hundreds of service vendors each in SaaS, PaaS, XaaS, pure play services IT play. Do you know that there are over 360 vendors for PaaS offerings alone? Companies are spoiled for choices. They can choose from an array of technology options and service providers. While this is good, so many choices can overwhelm you. CXOs often get caught up in the decision-making process.

Actionable tips

  • Find a partner who can work at all 3 levels of an organization: Executive, Business and Project”. At Robosoft we aim to build deep relationships at level to align ourselves with the vision & mission, business goals of the organizations. Further, we help to narrow down the choices so you can make the right decision. Here’s how we do it for our clients.

Robosoft's engagement model

Enterprises want to make impactful strides in terms of scalable digital transformation and the Government of Japan is also pushing them to make efforts to deliver results. Despite the challenges organizations are well poised to take the next big leap. The right technology partner can accelerate your digital transformation project and help you realize its full potential.

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Digital Transformation Travel, Tourism & Leisure UX/UI

New Technologies Enhancing UX in Airlines Industry

UX design has been a critical aspect of aviation for a long time, from the creation of cockpit systems to the development of cabin design and passenger experience. With the introduction of more refined UI and new technologies like AI/AR, and Biometrics, airlines are continuously looking at ways to enhance UX in Aviation. These exciting new technological advancements in the aviation industry are being enabled by robust new user experiences.

From the past, airlines have already been making significant efforts in improving the passenger experience from varied seating choices to chef-designed meals. Aircrafts are now also able to access real-time data directly from the ground, improving situational awareness and increasing control capabilities. Mobile devices will also gain access to wider navigation information and improved passenger services, ensuring that users of their devices will better understand why they’re using it.

However, improving customer experience is a never ending process and even now passengers tend to report that they are left looking for more in terms of improved UX. In a world where customer is king, it falls on the aviation industry as a whole to tackle its UX challenges and find CX improvement areas. Only then it may be able to appeal to the next-generation of customers.

Some UX Challenges and CX Improvement Areas in the Aviation Industry

According to McKinsey, the overall traveler satisfaction level hasn’t seen any kind of decline post pandemic. In fact, many have found the travel experience to be better than it was before the pandemic.

Flight and hotel experiences comparison post pandemic

Source: McKinsey

But these surprising numbers in customer satisfaction are mostly derived from leisure travelers who maybe just feeling happy to be on the road again. There are still major UX challenges and improvement areas like flight cancellations, delays, rebooking hassle, compensation merry-go-round, loss of time and money among others.

These are just a few examples of the vast majority of UX challenges generally faced by customers while traveling via air. Some major challenges and improvement areas in customer experience journey are:

#1 Non-uniform travel experiences

Till now aviation companies were looking to continuously improve only the in-flight passenger experiences while somewhat disregarding the other touchpoints for passengers. But now there is a need to improve the customer journey in all aspects of their travel by working towards an omnichannel experience. This will provide a seamless end-to-end customer experience by airlines from booking tickets to arriving at their destination.

In our previous article, we have talked about designing a deeper, more intimate airport experience for travelers. It breaks down the whole flying experience to seven stages and provides valuable UX recommendations for each.

#2 Adequate pre and post flight information

The new generation of customers are driven by seamless smartphone experiences and seek for the same everywhere. A big step to achieve this is by providing important notifications via normal text or via app notification. Airlines are now expected to be able to provide pre- and post-flight information, timely updates and assistance to customers.

#3 Longer processing time

Earlier, the check-in experience was already a tedious task, now add new norms after the pandemic and you got a steep challenge to keep your wits end together. The new health check regulations have undeniably added more minutes to the long waiting time of passengers patiently waiting for their turn to check-in.

#4 Undeniable influence of Online Travel Agencies (OTAs)

While OTA websites drive most of the traffic, the actual purchase is generally made on the airlines’ own website/app. Still, when it comes to easy website navigation and other UI/UX features, airline websites lose the battle. Even in today’s time many travelers find booking a ticket very stressful and confusing from airlines’ own website.

#5 Increase in CX while maintaining operational costs

FSC or LCC carriers used to cater to very different class of passengers who were either driven by flight experience or price. As it is becoming a challenge for aircraft carriers to attract new set of passengers, they are looking for ways to attract both these set of customers without compromising much on customer experience.

In our article on digitalization effects on leisure and travel industries, we pitched a Right Price Model for airline business which tackles the important CX initiatives while maintaining operational costs.

How New Technologies are Boosting UX for Airlines [with examples]

One of the main enablers for improved UX is the emergence of newer technologies and their applications in aviation industry. These technologies are digitally transforming the aviation industry and paving the way for a customer centric airline industry.

Some of these technologies and their real life examples are listed below –

#1 Blockchain Technology

Using blockchain technology helps airlines to securely maintain user data and privacy across multiple touchpoints via a digital ledger. The technology can find its use in identity management & record keeping, cross integrations for seamless travel experience, building robust data security systems and airline maintenance.

Air France deployed blockchain technologies to create a COVID-19 test verification system via a mobile app during the pandemic. Singapore Airlines uses blockchain technology for their frequent flyer loyalty program using KrisPay. It also offers promotions to customers along with the program.

#2 Augmented Reality and Virtual Reality (AR & VR)

AR and VR technology when used correctly can not only enhance the UX but also help in improving the customer experience of navigating through the airport or aircraft. The obvious uses of AR and VR technologies can be seen in airports. For e.g. AR/VR can show the passengers cabin experience on VR headsets, provide a digital tour guide, show fastest route through airport, etc.

The Gatwick airport uses AR to help passengers navigate the complex layout of the airport, and London City Airport has installed AR tech to help air traffic controllers with the vital job of keeping planes safe.

#3 Artificial Intelligence (AI)

AI integrated with machine learning, and predictive analytics can help immensely in providing a connected and customized experience to the flyers. Further, AI also has the potential to ease out various operational processes of airlines like revenue management, managing ticket pricing, etc.

Shenzhen airport in China uses AI for AI airbridge allocation as well as for AI turnaround times. Air France implemented the specialized AI platform called Sky Breath that collects data from the flight, performs in-depth analytics, and helps identify fuel-saving opportunities and increase efficiency.

#4 Biometrics

Biometrics is not new to aviation. All the major and minor airports started implementing it since 9/11 to improve their security details. But over the years it has found use in improving passenger experience as well by improving the time and speed of check-in and other operations. In fact, use of facial recognition has been proposed for airports to cut down on flight delays by 80 percent.

Fraport in conjunction with Zwipe have agreed to trial their biometric solutions to boost security at Frankfurt airport. Miami International Airport and US Customs and Border Protection (CBP) started rolling out biometric technology with a few airlines back in 2019. MIA is now seeking a huge biometric push by 2023 that will serve multiple purposes.

#5 Internet of Things (IoT)

The airline industry is using IoT to build a integrated ecosystem combining the organizational functions to increase efficiencies and provide a seamless experience to their customers.

Virgin Airlines have implemented IoT in its Boeing 787. Every single element on the plane is attached to a wireless airplane network, providing real-time IoT data on elements like performance, maintenance, etc. EasyJet’s Mobile Host at London’s Gatwick Airport combines the traveler flight details with live data from the airport’s Google indoor maps. This allows the airline to deliver updated check-in reminders, gate updates, and even personalized directions.

#6 Mobile Solutions

Airlines are using the mobile platform to connect with their customers throughout the passenger journey starting from booking a flight to deplaning it. Airlines can send real time alerts and notification on and off the airport.

Almost all airline carriers nowadays send real-time flight notifications from post booking to deplaning. These include self check-in, flight delay notifications, feedback, etc.

#7 Hearable, wearable & Voice Technologies

These technologies have increasingly found various usage in aviation from internal communication between flight attendants, voice searches, voice bookings to voice check-ins. These are also used in conjunction with in-flight connectivity which provide a real opportunity to drive conversion, upsell items on flight.

#8 Advanced Data Analytics and Big Data

Aviation companies collect traces of customer data from each stage of their travel journey, be it planning, research, reservation, stay, or post-travel review of their experiences. They can use insights from this data and advance analytics to provide a high degree of personalization to the travel experience which in turn could help in building customer loyalty.

These technologies have the potential to revolutionize air travel as we know it. The airline industry is on the precipice of a breakthrough, and most of the credit goes to the wave of digital transformation across the industry with CX as center.

Technology in each step of airline customer journey

As you can see how much of a bigger role technology plays in designing the UX of travelers. Let us further break down the whole customer journey into 5 different stages and discuss how technology plays a vital role in each step.

1. Pre-booking – Airlines can offer a digital tour guide powered by a personalization engine to show destination highlights based on individual customer preferences. Airlines use data analytics telemetry based pattern identification to drive loyalty management programs and offer dynamic rewards while booking.

2. Booking and Check-in – Airline companies can use geolocation based service and marketing apps to offer transportation services, bot assisted agent or self service changes. Geolocation also allows display of local language and currency on website for familiarity and convenience while booking and payment.

3. Airport Experience – Use of IoT baggage tags providing real-time tracking, self-tagging and activation. Biometric enabled check-in and security check. A combination of AR/VR enabled mobile computing, AI, robotics, Big Friendly Data (BFD), Intuitive UX, and wearable technology to help users in self-service check-in to intimate boarding experiences.

4. In-flight experience – Taking help of big data and hearable, wearable & voice technologies to enhance in-flight experiences with traveler loyalty services, communications, and purchases.

5. Post-travel – Mobile solutions to assist in un-boarding and baggage claims. Also, sending customer satisfaction surveys post travel for better personalization in upcoming travel plans.

How Airlines are Ensuring a Highly Personalized Experience for Customers

Introduced in 2012 by IATA, the NDC airline standard is now helping airlines break away from over-reliance on GDS intermediaries. Airlines can now offer more differentiation, push new offers right away on their website, and provide high class personalization to their customers.

The NDC standard ensures each ticket seller stays up to date with each airlines’ newest offers and products. Other benefits of NDC includes:

i) Direct access to upgrades, exclusive packages, or limited-time offers even when customer is booking from a third-party.

ii) High personalization according to individual preferences across customer journey.

iii) Advance level of comparisons for all airline options, including their different services, products, promotions and of course, prices.

iv) Speed to market while distributing products widely across third-party agents or sites.

v) Same content across airline website and travel agent sites.

In short, NDC allows airlines to take control of their purchase and distribution when dealing with customers. This ensures a high level of customer experience from the airlines.

Possibilities for Airline Industry

As new technologies find ways to integrate themselves across various industries, customer expectations are growing higher and higher. Technology is now playing a major role in UX design for the whole airport and airline experience for customers. Today, what looks mind boggling due to technology may become standard norms in near future.

It is very important for the aviation industry to keep evolving with the growing trends in CX and UX. In times to come the airline travel experiences are set to become more personalized, valuable, and memorable for the flyers.

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