Scaling Data-Driven Insights for Enterprise Data Strategy

A Leading NBFC with a customer base of more than 9 million

A Leading NBFC with more than 9 million customers, providing various Lending & Banking services.

Industry: Banking
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Challenges

Their existing Data ecosystem was originally designed for limited users and structured data processing. However, as data volume, velocity, and variety increased, the system faced several performance issues:

- Performance Bottlenecks: System lagged when processing large data sets from multiple sources.

- Scalability Constraints: The system crashed during peak usage due to high concurrent user loads.

- Inefficient Data Handling: Struggled with processing unstructured data, such as logs, mobile / Collection Device data, document / images data etc.

- Delayed Insights: Reports & Dashboards took too long to generate, reducing the efficiency of business decisions.

- Lack of futuristic Data Framework: Data from OEM partners and third-party brokers was not effectively channelised and utilised. Since the day-to-day Data availability challenges were on the fore-front there was no time for the internal team to deploy a cohesive data strategy.

Solution

To tackle data management challenges, we deployed XSIGHT, an advanced analytics platform for scalable, real-time data processing. Key steps included:

- PoC & Performance Assessment: We tested XSIGHT’s capacity to handle 500TB datasets and 10,000+ active users, simulating real-time streaming data.

- Scalable Platform Deployment: XSIGHT was implemented with an intuitive interface on Azure Cloud, utilizing Azure Data Lake and AKS for high-performance computing. Databricks optimized batch and stream processing of structured and unstructured data.

- Advanced Data Strategy: A secure Enterprise Data Framework was developed for data assetization, speeding up business use-case deployment. We fostered OEM collaboration through secure data exchange and AI-driven recommendations.

- Data Governance & Compliance: RBAC and multi-tier encryption ensured privacy and compliance, while a data lineage system tracked data flow for transparency.

This solution enabled scalable, high-performance data management and empowered personalized analytics for our customers and teams.

IMPACTS

Enhanced Scalability & Performance

The new platform handled ~10K active users, supporting real-time concurrent reporting without system crashes.

Reduced Report Generation Time

80% faster report generation, enabling near-instant business insights.

Improved Decision-Making

Real-time insights empowered predictive business strategies and enhanced customer experiences.

Compliance & Security

Ensured secure, compliant, and audit-ready data governance for sensitive consumer data.

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