F&B
Creating a Future-Proof Data and Analytics Capability at NPCI
“The team deeply understands financial services and is highly accessible for guiding APAC on the platform's technology and features.”
Nikhil Bandi
CTO, APAC Financial Services private Limited
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.
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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.
“The team deeply understands financial services and is highly accessible for guiding APAC on the platform's technology and features.”
Nikhil Bandi
CTO, APAC Financial Services private Limited
How Things Have Changed
- NPCI now operates with 3X 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.
