The client, a global TMT conglomerate, lacked centralized tools to track product performance, adoption, and marketing impact. Fragmented data also delayed decisions. They needed analytics foundations to monitor their payments app and predictive models for customer, merchant, and category trends, plus AI for SMB categorization to drive precise, scalable growth decisions.
Key challenges
Fragmented product and marketing performance data
Limited ability to measure campaign success in real time
No predictive visibility into customer and merchant trends
Inconsistent merchant categorization reducing insight quality
The solution
Analytics foundations
Real-time metrics
Centralized dashboards
Built data warehouse tables
Defined performance indicators
AI enhancements
Improved targeting
Actionable insights
Resolved merchant name variations
SMBs categorized into custom groups
1
Data engineering
Unified warehouse
Automated metrics
2
Visualization and adoption
Executive dashboards
Campaign comparisons
3
AI intelligence
Merchant categorization
Reduced inconsistencies
Product decisions
Faster go-to-market assessments
Improved adoption tracking pre/post launch
Marketing effectiveness
Campaign success measured in real time
Better targeting with improved SMB categories
Operational efficiency
Unified dashboards reduced reporting delays
Consistent, high-quality insights across teams
