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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

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
Metrics Per Stage:
  • 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:
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
Optimization Strategies:
  • Use SMS and email simultaneously
  • Improve call-to-action messaging
  • Test deep link compatibility across devices
  • Implement redirect tracking pixels
Problem: Customers fail to enter or receive OTPPossible Causes:
  • OTP delivery delays
  • Customer entered wrong mobile number
  • OTP timeout too short
  • SMS delivery failures
Optimization Strategies:
  • Implement fallback OTP channels (voice, email)
  • Extend OTP validity period
  • Add mobile number confirmation step
  • Monitor SMS provider delivery rates
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
Optimization Strategies:
  • Use Smart AA Router to maximize FIP coverage
  • Provide guidance on account linking
  • Display list of supported banks upfront
  • Implement account manual addition option

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
Comparative Metrics:
  • 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
Example Insights:
  • “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
Use Cases:
  • 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:
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
Line charts displaying metrics over time (hourly, daily, weekly, monthly) to spot trends and seasonal patterns.Best For: Identifying performance trends and incident timing
Color-coded matrices showing success rates across multiple dimensions (FIP x AA, Time x Day of Week).Best For: Spotting patterns across categorical variables
Side-by-side bars comparing metrics across products, AAs, or time periods.Best For: Benchmarking and A/B testing analysis
Proportional breakdown of consents by status, AA distribution, or FIP usage.Best For: Understanding composition and distribution
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
Export Scopes:
  • 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
Use Cases:
  • 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)
Dynamic Grouping:
  • Group by day, week, month, or quarter
  • Group by AA, FIP, or account type
  • Pivot between different dimensional views
Saved Views:
  • Create and save custom dashboard configurations
  • Share saved views with team members
  • Set default view for organization
Alerting and Monitoring:
  • 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

MetricDefinitionTypical Benchmark
Overall Consent Approval Rate% of consent requests that are approved60-75%
Average Time to ApprovalMedian time from creation to approval2-5 minutes
Drop-off Rate% of customers who start but don’t complete25-40%
Rejection Rate% of customers who explicitly reject consent5-15%
Revocation Rate% of approved consents later revoked<5%

Data Delivery Metrics

MetricDefinitionTypical Benchmark
Data Fetch Success Rate% of approved consents that yield data>90%
Time to Data ReadyDuration from approval to data availability<30 seconds
Partial Fetch Rate% of fetches returning incomplete data<10%
FIP Response TimeAverage time for FIP to respond to request<10 seconds
Retry Success Rate% of failed fetches recovered via retries>50%

Operational Health Metrics

MetricDefinitionTypical 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 TimeAverage 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 Visualization: Interactive funnel chart showing customer progression through consent stages with clickable segments to drill down. Time Series Chart: Line graph displaying consent creation, approval, and data fetch trends over selected time period. AA Distribution: Pie chart showing traffic allocation across different Account Aggregators.

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 %
AA Comparison: Side-by-side comparison of all integrated AAs with color-coded indicators (green = healthy, yellow = degraded, red = down).

Custom Report Builder

Drag-and-drop interface to create custom reports:
  1. Select dimensions (date, AA, FIP, product, stage)
  2. Choose metrics (count, rate, duration, etc.)
  3. Apply filters
  4. Select visualization type
  5. 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
Optimization Feedback Loop: Use MIS insights to refine Smart AA Router configurations:
  • 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

Review key metrics every morning to catch issues early. Set up alerts for anomalies.
Deep-dive into funnel stages with high drop-off rates. Test hypotheses and implement improvements.
Track month-over-month and quarter-over-quarter improvements. Celebrate wins with teams.
Don’t rely on aggregate metrics alone. Segment by product, customer type, and channel to uncover hidden patterns.
Consider external factors (holidays, marketing campaigns, AA downtimes) when analyzing trends.
Regularly share dashboard insights with product, engineering, and business teams to drive organization-wide optimization.

Use Case Scenarios

Scenario 1: Diagnosing Sudden Drop in Approvals

Situation: Consent approval rate drops from 70% to 45% overnight Investigation Using MIS:
  1. Check time series graph to identify exact time of drop
  2. Drill down by AA to see if specific AA is affected
  3. Review FIP availability metrics for outages
  4. Analyze funnel to identify which stage saw increased drop-offs
  5. Check webhook logs for error patterns
Resolution: Identify that specific FIP was down; worked with AA to resolve; approvals recovered within 4 hours. Situation: Product team wants to improve consent approval rates Analysis Using MIS:
  1. Compare approval rates across different consent templates
  2. Identify that templates with narrower data scope have 15% higher approval
  3. Analyze drop-offs at “Consent Review” stage for broad-scope templates
  4. Test new template with clearer language and reduced FI types
Outcome: New template achieves 68% approval vs 58% for old template; rollout organization-wide.

Scenario 3: AA Partner Performance Review

Situation: Quarterly business review with AA partners Preparation Using MIS:
  1. Export 90-day performance metrics by AA
  2. Generate comparison charts for uptime, success rates, and response times
  3. Identify top-performing and underperforming FIPs on each AA
  4. Prepare data-driven feedback and improvement requests
Outcome: Constructive discussion with AA partners; identified 3 FIPs for urgent fixes; negotiated better SLAs.

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
Data Retention:
  • Real-time data: Immediate availability
  • Historical data: 24 months retention by default
  • Extended retention: Available upon request for compliance needs

Support and Resources

For questions about dashboard configuration, custom report creation, or data interpretation, contact Moneyone support through the FinPro admin portal.