Bridging the Financial Inclusion Gap
Data backed analytics is becoming core of all customer engagement and risk decisions
2. Cloud Native Infra
•
Azure and SAS Viya powered data
analytics platform.
Change Data Capture Tool
•
100+ compute nodes
•
•
1000+ people using to fuel growth
100 Terabyte of data handling
1. Data Universe
Batch and Realtime data ingestion from
wide number of data sources:
•
•
App, clickstream and web data
(Semistructured and unstructured)
Banking data (~20M+ consumers)
Alternate data from Partners
Bureau data (5-10m/month)
GST
Account aggregators
Other partners
01
QUILLY
02
33
3. Machine learning
•
Models for hyperpersonalization
.
04
30+ ML models (Gini range:40-60%)
covering customer life cycle across all
retail assets
Product Cross-Sell and Upsell
•
through recommendation engine.
4. Impact
اشا
.
Digital Underwriting increase by ~50%
•
Risk cost reduction by ~40%
Reduction in Customer acquisition
costs by ~40%
Realtime business performance
monitoring
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