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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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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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