NBFC
Creating a Future-Proof Data and Analytics Capability at NPCI
Implementation Ready and Future Proof Big Data Analytics Architecture
Design based
on Open-source big data stack reducing infrastructure costs.
Future-ready
architecture built to handle high-volume, high-velocity payments data.
AI & ML-enabled
platform, supporting predictive analytics for fraud detection and insights.
Why NPCI Loves nanoBI
- A holistic approach to understanding the problem statement
- Solution completeness to handle different varieties and speeds of data
- Future-ready architecture proposal to support advanced analytics.
- Recommendations for robust data governance and security controls.
Design based
on Open-source big data stack reducing infrastructure costs.
Future-ready
architecture built to handle high-volume, high-velocity payments data.
AI & ML-enabled
platform, supporting predictive analytics for fraud detection and insights.
Loved it? Ready to try nanoBI?
About the client
The Client is a key entity in the payments sector, responsible for managing and innovating India’s digital payment ecosystem.
Challenges Before nanoBI
- Slow and inefficient data processing, limiting real-time analytics.
- Fragmented data sources, create inconsistency.
- Lack of governance standards for master data management.
- Inability to scale with increasing transaction volumes.
nanoBI Solution
- Three-Pronged Approach for Future-Ready Data Architecture
- Technology Assessment – Evaluated existing system deployment, identifying challenges in data processing and infrastructure scalability.
- Data Optimization – Analyzed master data, key data sources, and reporting requirements to enhance data quality, completeness, and governance.
- Process Standardization – Established robust data governance, business glossary standards, and change control processes for consistency and compliance.
- Designed high-performance, scalable data architecture using open-source big data technologies like Apache Hadoop, Spark, HBase, Kafka, and Sqoop.
- The solution also introduced structured governance frameworks to improve master data management and ensure compliance.
- Additionally, the extensible platform was built to support real-time AI and ML-driven analytics, empowering the client with predictive capabilities.
How Things Have Changed
- NPCI now operates with faster data processing, significantly improving real-time decision-making and analytics.
- The adoption of robust data governance frameworks ensures structured and accurate master data management.
- With an AI & ML-enabled architecture, NPCI can now leverage predictive analytics for fraud detection and other strategic insights.
- Overall, the organization has transitioned to a cost-effective, efficient, and future-proof data ecosystem, capable of supporting its growing digital payments infrastructure.
