Current Pain Points Analysis
Critical Business Challenges
Analysis of operational pain points impacting business growth and customer success
🔍 Strategic Analysis Framework
Step 1: Request Analysis
📋 Business Requirements Assessment
Customer Success Team
- • Root cause analysis capabilities
- • Funnel drop-off identification
- • <3 second drill-down requirement
- • FIP vs AA performance attribution
Business Team
- • Revenue attribution by purpose code
- • Growth rate tracking (2x market target)
- • Client performance comparison
- • Market share progression monitoring
Regulatory Team
- • Automated Sahamati reporting
- • RBI compliance tracking
- • Audit trail maintenance (7+ years)
- • FI type & license categorization
Tech Team
- • Real-time performance monitoring
- • Event-level debugging capabilities
- • Infrastructure health attribution
- • API performance analytics
Step 2: Current State Assessment
⚙️ Current Infrastructure Challenges
Data Trust Issues
Core Problem: “Data given by us is always under inspection of being right or wrong”
Impact: Business teams spend significant time validating data accuracy instead of focusing on insights and action
Resource Constraints
Core Problem: “Assets often insufficient for new requirements”
Impact: Delays in delivering new analytics capabilities and reactive approach to business needs
Step 3: Operational Pain Points
🔧 Implementation Examples
Example 1: Consent POST API Optimization
Scenario: “We started retrying on consent POST API before sending notification as failed to FIUs”
❌ Previous Approach
- • Immediate failure notification to FIUs
- • No retry mechanism
- • Higher perceived failure rates
- • Client dissatisfaction
✅ Improved Approach
- • Retry logic before failure notification
- • Improved success rates
- • Better client experience
- • Reduced false negative alerts
📊 Root Cause Analysis
🔍 Systemic Issues Identification
Data Quality Issues
- • Inconsistent event schema evolution
- • Missing lineage tracking
- • Manual data validation processes
- • Lack of automated quality checks
Performance Challenges
- • Query latency exceeding <3s requirement
- • Limited real-time capabilities
- • Inefficient drill-down paths
- • Resource contention during peak loads
Scalability Constraints
- • Ad-hoc report generation approach
- • Manual compliance reporting
- • Limited multi-dimensional analysis
- • Reactive development model
🎯 Impact Assessment
📈 Business Impact Quantification
Revenue Impact
Operational Efficiency
💡 Strategic Implications
🎯 Priority Actions Required
Immediate (Next 30 days)
✓ Implement automated data quality monitoring
✓ Establish bronze layer for reliable data ingestion
✓ Deploy star schema for <3s drill-down capability
Medium-term (Next 90 days)
● Automate Sahamati & RBI reporting
● Build multi-dimensional analysis capabilities
● Implement predictive customer success alerts