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Explained: Digital Banking Ecosystem

Recently, IndusInd Bank added a new arsenal to its digital ecosystem. It launched Video Branch, which allows customers to communicate with their branch manager, relationship manager, or centralized video branch executive in real-time. While doing so, customers can even track all of their important financial transactions, such as initiating a fixed deposit or recurring deposit. 

This is an excellent example of how building a digital ecosystem helps banks become more relevant to clients, allowing them to form stronger relationships and grab higher wallet shares.

According to Global Market Insights, the Digital Banking Market has crossed USD 8 trillion in 2020 and is expected to grow at a rate of roughly 5% from 2021 to 2027. This industry growth is due to consumers’ increased usage of mobile devices to accomplish day-to-day financial operations. Customers utilize digital banking to check their account balances, deposit checks, transfer funds and shop online. Furthermore, the expanding millennial generation (aged 16 to 34) is pushing banks to offer digital banking services and adopt a digital ecosystem strategy.

What is a Digital Banking Ecosystem?

Digital banking ecosystems are collaborations built on partnerships that use technology to provide new products and services to clients. The idea behind collaborative models like these is simple: although no single bank can cover all of its customers’ needs, a consortium of banks and digital companies can.

Collaborations with Big Tech companies such as Apple Pay and Google Pay have gained significant market share in the mobile wallet sector. Banks, on the other hand, are concerned that closer collaboration with these firms would become a Trojan horse, compromising their position.

There are three types of stakeholders in a digital ecosystem: banks, third-party service providers, and customers. The role of a third party is to act as an intermediary between the customer and the bank. However, customers have to give their consent to third-party providers to carry out financial transactions on their behalf.

Need for a Digital Banking Ecosystem

According to Everfi research, 53% of financial institution customers have moved on from their principal financial provider, with another 9% considering doing so. This explains why banks must evolve if they want to retain existing customers and perhaps attract new ones.

Regulation 

Banks must now allow access to customers’ data and online payment capabilities using open API technology, with specific consent. Hundreds of thousands of new clients are introduced to the ecosystem each month as a result of open banking-enabled products being used by both users and enterprises around the world.

Increased Competition

FinTechs are taking advantage of the decreased barrier to enter into the financial services market by using their technical expertise and superior digital client experience. Due to the limited services now offered by these challenger banks, few clients have totally transitioned away from their former pillar banks.

Increasing digital and technological investments

Banks are aggressively investing in their technological systems and data both globally and locally. This lowers operating costs and provides a foundation for new revenue streams.

Changing customer behavior

A paradigm shift from the previous paradigm (provider-based) to the new paradigm (need-based) aided in the creation of one-stop-shop ecosystems to meet the wants and needs of customers. Banks can now embed their products and services at the place of need, such as embedded finance, in this new paradigm.

Over the next five years, customers expect their bank to provide them with more personalization, proactive services, and connected omnichannel experiences. COVID-19 has risen digital adoption levels, with 43 percent of worldwide respondents stating their banking habits have changed during the financial crisis.

The Benefits of the Digital Banking Ecosystem

Banks in digital ecosystems have a number of substantial advantages built-in, including strong customer relationships and well-known brands. Banks, their customers, and other stakeholders can all profit when such strengths are joined with third-party artificial intelligence (AI) and cloud-based solutions.

Increasing the reach and quality of digital products

Working with technology partners can help a bank extend its digital distribution, improve the quality of its products, and reduce client acquisition expenses.

Citibank is one of eight banks that have teamed with Google to offer Google Pay consumers digital checking and savings accounts. Citibank and others can use Google’s platform to deliver branded products and advice to digital-only clients as a result of the partnership.

Competencies in product development are outsourced

When third parties have the technology and capacity to do it better, banks may not need to develop and maintain best-in-class digital solutions and products.

M&T Bank has collaborated with LPL Financial, an investment advisor and independent broker-dealer, to provide access to LPL’s scalable platform, integrated processes, and differentiated product offerings to its brokerage and insurance advisors. M&T advisers can now focus on client connections while the bank tries to improve its efficiency and reinvests in core operations as a result of the agreement.

Providing other ecosystems with access to banking services

When customers transact in other ecosystems, they demand seamless access to bank-held data, as well as banking goods and services. Providing secure access to their systems to partners can help banks bridge ecosystem gaps and stay relevant to their clients.

Intuit’s QuickBooks uses an API technology that enables customers to better manage their financials, enabling them to access their accounts in a variety of banking and cash management functions in one place.

Providing other ecosystems with banking services

FinTechs frequently tout digital procedures and capabilities that can assist banks in providing good, frictionless, and efficient client experiences while avoiding costly updates.

PNC Financial uses OnDeck Capital’s digital onboarding process and external data sources to streamline its small business financing process. As the company claims, the agreement allows PNC to keep control over its risk appetite while reducing loan approval times from days to minutes.

Concentrating on fundamental competencies

By delegating non-core product and capability management to a third party, banks can maintain and strengthen customer connections while focusing resources on vital strategic priorities.

State Farm recently dissolved its banking, mortgage, and credit card divisions in order to focus on its core insurance business. Agents, on the other hand, continue to sell bank products to customers through their partnerships with those buyers, giving State Farm a one-stop-shop for all financial needs.

Product and service marketplaces are expanding

Ecosystems can enable a bank to disaggregate and securely market products and services to other institutions, resulting in increased revenue for the bank and value for the partner.

In the United States, HSBC has partnered with NepFin, an online commercial lending platform, to provide growth finance and international services to FinTech’s midsized business clients. The arrangement allows HSBC to reach out to digital customers it couldn’t previously reach.

Increasing the value of internal resources

Ecosystems are a cost-effective way for banks to promote their in-house developed capabilities to other banks, FinTechs, and even non-bank enterprises.

Banks and businesses can offer white-label versions of their products and services through banking-as-a-service (BaaS). BBVA will be able to commercialize its core banking functions, including payments, financing, identity verification, and account opening, as a result of the agreement.

Conclusion

Banks and financial institutions need to continuously upgrade the experience for their customers. However, while doing so they need to factor in the demographics of their customer base. While the millennials and GEN-Zs want services at their fingertips, the older generation still prefers visiting a physical office. 

Banks will have to integrate new-age technologies such as AI, ML, and big data analytics into their processes to elevate customers’ experience and improve efficiency in operations. The key to success would be decoding data into actionable insights and acting in real-time. Furthermore, they need to train their workforce and help them get acquainted with news systems. 

The next step in the growth of digital banking platforms would be to continuously engage, assist and educate customers accustomed to traditional banking methods. This will fastrack the revenue streams and profit in the near future.

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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