Overview
The MIS (Management Information System) and Funnel Analytics module provides Financial Information Users with real-time visibility into customer consent journeys, Account Aggregator funnel drop-offs, consent statuses, and data delivery metrics. It enables FIUs to track and analyze every step of the consent and data delivery process with rich visuals, interactive tools, and downloadable reports. This operational intelligence helps identify bottlenecks, optimize customer experience, and improve overall success rates across the AA ecosystem.Core Capabilities
Consent Approval Stage Performance
Track how customers progress through each stage of the consent journey to identify where drop-offs occur and why. Tracked Stages:1
Consent Creation
FIU initiates consent request via API
2
Customer Redirect
Customer clicks link or opens AA interface
3
Mobile/PAN Verification
Customer enters and verifies mobile number or PAN
4
OTP Authentication
Customer enters OTP received from AA
5
Account Discovery
AA fetches list of linked accounts from FIPs
6
Account Selection
Customer selects accounts to share data from
7
Consent Review
Customer reviews consent terms and data scope
8
Consent Approval
Customer approves or rejects consent
- Entry Count: Number of customers reaching this stage
- Exit Count: Number of customers progressing to next stage
- Drop-off Rate: Percentage of customers abandoning at this stage
- Average Time: Median time spent on this stage
- Bounce Rate: Customers who exit without completing
Drop-off Analysis
Identify the specific points in the consent journey where customers are most likely to abandon the process. Drop-off Categories:Redirection Drop-offs
Redirection Drop-offs
Problem: Customers do not click the redirect link or deep link fails to openPossible Causes:
- Link delivered via SMS not clicked
- Email spam filtering
- Deep link configuration issues
- Customer closed browser/app before redirect
- Use SMS and email simultaneously
- Improve call-to-action messaging
- Test deep link compatibility across devices
- Implement redirect tracking pixels
OTP Verification Drop-offs
OTP Verification Drop-offs
Problem: Customers fail to enter or receive OTPPossible Causes:
- OTP delivery delays
- Customer entered wrong mobile number
- OTP timeout too short
- SMS delivery failures
- Implement fallback OTP channels (voice, email)
- Extend OTP validity period
- Add mobile number confirmation step
- Monitor SMS provider delivery rates
Account Discovery Drop-offs
Account Discovery Drop-offs
Problem: No accounts discovered or customer’s bank not availablePossible Causes:
- FIP not integrated with selected AA
- Customer’s account not linked to AA
- Incorrect mobile/PAN provided
- FIP downtime during discovery
- Use Smart AA Router to maximize FIP coverage
- Provide guidance on account linking
- Display list of supported banks upfront
- Implement account manual addition option
Consent Review Drop-offs
Consent Review Drop-offs
Problem: Customers abandon after reviewing consent termsPossible Causes:
- Consent scope too broad or unclear
- Lack of trust in AA or FIU
- Customer confused about data usage
- Privacy concerns
- Simplify consent language
- Add trust indicators (RBI-regulated, encrypted)
- Provide clear data usage explanations
- Offer customer support chat during journey
Per-FIU Journey Funnel Tracking
For FIUs operating multiple product journeys (loan, insurance, PFM, wealth), track funnels separately to identify use-case-specific patterns. Journey Segmentation:- By Product Type: Personal loans vs home loans vs credit cards
- By Customer Segment: Salaried vs self-employed vs thin-file
- By Entry Channel: Mobile app vs web vs API-only
- By AA Provider: Compare funnel performance across different AAs
- Conversion Rates: Consent approval % by journey type
- Time to Approval: Average journey duration by product
- Drop-off Points: Where each journey type experiences most friction
- Data Fetch Success: Post-consent data availability rates
Drill-Down by FIP, AA, or Account Type
Navigate from aggregate metrics down to granular details to pinpoint specific issues. Drill-Down Dimensions:By AA Provider
Compare performance across Onemoney, NESL, CAMS, etc.
By FIP
Identify which banks have highest/lowest success rates
By Account Type
Analyze savings vs current vs mutual fund account linking
By Date Range
Spot trends, seasonality, or incident-related drops
By Geography
Regional performance differences
By Device Type
Mobile vs web vs tablet journey completion
- “HDFC Bank accounts on Onemoney AA have 15% higher success rates than on NESL AA”
- “Mutual fund account linking takes 2x longer than savings account linking”
- “Mobile app journeys have 20% better completion rates than web”
- “Weekend consent requests have 30% lower approval rates”
Enhanced Reporting Capabilities
Real-Time Access
Live Dashboard:- Metrics update every 60 seconds with latest data
- No batch processing delays or stale reports
- Immediate visibility into ongoing campaigns or issues
- Monitor launch of new consent campaign in real-time
- Detect sudden drop in success rates and investigate immediately
- Track impact of configuration changes or AA updates
Intuitive Visualizations
The MIS dashboard provides easy-to-understand graphs, charts, and visual representations of complex data to help clients quickly identify trends, bottlenecks, or areas needing attention. Visualization Types:Funnel Charts
Funnel Charts
Vertical or horizontal funnel diagrams showing customer progression through consent stages with drop-off percentages clearly labeled.Best For: Understanding where customers abandon the journey
Time Series Graphs
Time Series Graphs
Line charts displaying metrics over time (hourly, daily, weekly, monthly) to spot trends and seasonal patterns.Best For: Identifying performance trends and incident timing
Heatmaps
Heatmaps
Color-coded matrices showing success rates across multiple dimensions (FIP x AA, Time x Day of Week).Best For: Spotting patterns across categorical variables
Comparison Bar Charts
Comparison Bar Charts
Side-by-side bars comparing metrics across products, AAs, or time periods.Best For: Benchmarking and A/B testing analysis
Pie Charts and Donut Charts
Pie Charts and Donut Charts
Proportional breakdown of consents by status, AA distribution, or FIP usage.Best For: Understanding composition and distribution
Sankey Diagrams
Sankey Diagrams
Flow visualization showing customer journey paths and transition rates between stages.Best For: Complex multi-path journey analysis
Downloadable Data
Clients can download relevant reports and data sets in multiple formats, enabling their own analysis or sharing across teams. Export Formats:- CSV: For Excel analysis or database import
- JSON: For programmatic processing or integration with BI tools
- PDF: For presentation-ready reports with visualizations
- Excel (XLSX): With pre-formatted sheets, pivot tables, and charts
- Filtered Data: Export only the subset currently displayed on dashboard
- Full Dataset: Download complete historical data within selected date range
- Scheduled Reports: Configure automatic daily/weekly email delivery of reports
- Share funnel metrics with product and marketing teams
- Import data into corporate BI platforms (Tableau, Power BI)
- Conduct offline analysis in Excel or Python/R
- Compliance reporting and audit trail documentation
Self-Service Functionality
A powerful dashboard empowers clients to explore, filter, and understand data independently using custom views—without needing support from technical teams. Self-Service Features: Custom Filters:- Date range selection (last 7 days, last month, custom range)
- Product/template filtering
- AA and FIP selection
- Status filtering (approved, rejected, pending, expired)
- Customer segment filters (if configured)
- Group by day, week, month, or quarter
- Group by AA, FIP, or account type
- Pivot between different dimensional views
- Create and save custom dashboard configurations
- Share saved views with team members
- Set default view for organization
- Set threshold alerts (e.g., notify if success rate drops below 80%)
- Schedule periodic reports via email
- Configure Slack/Teams integrations for critical alerts
Key Insights Provided
Consent Journey Metrics
| Metric | Definition | Typical Benchmark |
|---|---|---|
| Overall Consent Approval Rate | % of consent requests that are approved | 60-75% |
| Average Time to Approval | Median time from creation to approval | 2-5 minutes |
| Drop-off Rate | % of customers who start but don’t complete | 25-40% |
| Rejection Rate | % of customers who explicitly reject consent | 5-15% |
| Revocation Rate | % of approved consents later revoked | <5% |
Data Delivery Metrics
| Metric | Definition | Typical Benchmark |
|---|---|---|
| Data Fetch Success Rate | % of approved consents that yield data | >90% |
| Time to Data Ready | Duration from approval to data availability | <30 seconds |
| Partial Fetch Rate | % of fetches returning incomplete data | <10% |
| FIP Response Time | Average time for FIP to respond to request | <10 seconds |
| Retry Success Rate | % of failed fetches recovered via retries | >50% |
Operational Health Metrics
| Metric | Definition | Typical Benchmark |
|---|---|---|
| AA Uptime | % of time AA is operational | >99% |
| FIP Availability | % of FIPs responding to requests | >95% |
| Webhook Delivery Success | % of webhooks delivered successfully | >99% |
| API Response Time | Average latency for API calls | <500ms |
| Error Rate | % of API calls returning errors | <1% |
Dashboard Walkthrough
Main Dashboard View
Top-Level KPIs: Large cards displaying critical metrics:- Total Consents Created (30-day rolling)
- Overall Approval Rate
- Active Consents Count
- Data Fetch Success Rate
Funnel Detail View
Click on any funnel stage to view:- Entry Count: Customers reaching this stage
- Exit Count: Customers progressing
- Drop Count: Customers abandoning
- Drop Reasons: Categorized reasons for abandonment (timeout, error, user-initiated)
- Average Duration: Time spent on stage
- Cohort Analysis: How different customer segments perform at this stage
FIP/AA Performance View
FIP Performance Table: Sortable table with columns:- FIP Name
- Total Consent Requests
- Approval Rate
- Data Fetch Success Rate
- Average Response Time
- Availability %
Custom Report Builder
Drag-and-drop interface to create custom reports:- Select dimensions (date, AA, FIP, product, stage)
- Choose metrics (count, rate, duration, etc.)
- Apply filters
- Select visualization type
- Save and schedule
Integration with FinPro Features
Smart AA Router Integration
MIS dashboard displays routing decisions and outcomes:- Which AA was selected for each consent
- Routing reason (preferred, health-based, fallback)
- Success rate by routing strategy
- If AA-X has consistently lower success rates, adjust routing thresholds
- If FIP-Y performs better on AA-Z, create use-case-specific routing
Analytics Integration
Combine consent funnel metrics with financial analytics insights:- Approval rates by customer income segment
- Data quality by FIP (completeness, categorization accuracy)
- Correlation between consent scope and approval likelihood
Webhook Monitoring
Track webhook delivery and processing:- Webhook delivery success rate
- Endpoint response time
- Retry attempts and outcomes
- Failed webhook payloads for debugging
Best Practices
Monitor Dashboards Daily
Monitor Dashboards Daily
Review key metrics every morning to catch issues early. Set up alerts for anomalies.
Analyze Drop-offs Weekly
Analyze Drop-offs Weekly
Deep-dive into funnel stages with high drop-off rates. Test hypotheses and implement improvements.
Benchmark Against Yourself
Benchmark Against Yourself
Track month-over-month and quarter-over-quarter improvements. Celebrate wins with teams.
Segment Analysis
Segment Analysis
Don’t rely on aggregate metrics alone. Segment by product, customer type, and channel to uncover hidden patterns.
Correlate with External Events
Correlate with External Events
Consider external factors (holidays, marketing campaigns, AA downtimes) when analyzing trends.
Share Insights Cross-Functionally
Share Insights Cross-Functionally
Use Case Scenarios
Scenario 1: Diagnosing Sudden Drop in Approvals
Situation: Consent approval rate drops from 70% to 45% overnight Investigation Using MIS:- Check time series graph to identify exact time of drop
- Drill down by AA to see if specific AA is affected
- Review FIP availability metrics for outages
- Analyze funnel to identify which stage saw increased drop-offs
- Check webhook logs for error patterns
Scenario 2: Optimizing Consent Template
Situation: Product team wants to improve consent approval rates Analysis Using MIS:- Compare approval rates across different consent templates
- Identify that templates with narrower data scope have 15% higher approval
- Analyze drop-offs at “Consent Review” stage for broad-scope templates
- Test new template with clearer language and reduced FI types
Scenario 3: AA Partner Performance Review
Situation: Quarterly business review with AA partners Preparation Using MIS:- Export 90-day performance metrics by AA
- Generate comparison charts for uptime, success rates, and response times
- Identify top-performing and underperforming FIPs on each AA
- Prepare data-driven feedback and improvement requests
Access and Permissions
Role-Based Access Control:- Admin: Full access to all dashboards, reports, and configurations
- Analyst: View and export capabilities; no configuration changes
- Developer: API metrics and technical dashboards only
- Executive: High-level KPIs and scheduled reports
- Real-time data: Immediate availability
- Historical data: 24 months retention by default
- Extended retention: Available upon request for compliance needs
Support and Resources
Admin Portal Guide
Learn how to navigate and configure dashboards
Smart AA Router
Optimize routing based on MIS insights
