> ## Documentation Index
> Fetch the complete documentation index at: https://developer.moneyone.in/llms.txt
> Use this file to discover all available pages before exploring further.

# MIS & Funnel Analytics

> Real-time operational intelligence for monitoring Account Aggregator journey performance and data delivery flows

## 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:**

<Steps>
  <Step title="Consent Creation">
    FIU initiates consent request via API
  </Step>

  <Step title="Customer Redirect">
    Customer clicks link or opens AA interface
  </Step>

  <Step title="Mobile/PAN Verification">
    Customer enters and verifies mobile number or PAN
  </Step>

  <Step title="OTP Authentication">
    Customer enters OTP received from AA
  </Step>

  <Step title="Account Discovery">
    AA fetches list of linked accounts from FIPs
  </Step>

  <Step title="Account Selection">
    Customer selects accounts to share data from
  </Step>

  <Step title="Consent Review">
    Customer reviews consent terms and data scope
  </Step>

  <Step title="Consent Approval">
    Customer approves or rejects consent
  </Step>
</Steps>

**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:**

<AccordionGroup>
  <Accordion title="Redirection Drop-offs">
    **Problem:** Customers do not click the redirect link or deep link fails to open

    **Possible 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
  </Accordion>

  <Accordion title="OTP Verification Drop-offs">
    **Problem:** Customers fail to enter or receive OTP

    **Possible 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
  </Accordion>

  <Accordion title="Account Discovery Drop-offs">
    **Problem:** No accounts discovered or customer's bank not available

    **Possible 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
  </Accordion>

  <Accordion title="Consent Review Drop-offs">
    **Problem:** Customers abandon after reviewing consent terms

    **Possible Causes:**

    * Consent scope too broad or unclear
    * Lack of trust in AA or FIU
    * Customer confused about data usage
    * Privacy concerns

    **Optimization Strategies:**

    * Simplify consent language
    * Add trust indicators (RBI-regulated, encrypted)
    * Provide clear data usage explanations
    * Offer customer support chat during journey
  </Accordion>
</AccordionGroup>

### 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:**

<CardGroup cols={3}>
  <Card title="By AA Provider" icon="building">
    Compare performance across Onemoney, NESL, CAMS, etc.
  </Card>

  <Card title="By FIP" icon="landmark">
    Identify which banks have highest/lowest success rates
  </Card>

  <Card title="By Account Type" icon="wallet">
    Analyze savings vs current vs mutual fund account linking
  </Card>

  <Card title="By Date Range" icon="calendar">
    Spot trends, seasonality, or incident-related drops
  </Card>

  <Card title="By Geography" icon="map">
    Regional performance differences
  </Card>

  <Card title="By Device Type" icon="mobile">
    Mobile vs web vs tablet journey completion
  </Card>
</CardGroup>

**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:**

<AccordionGroup>
  <Accordion title="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
  </Accordion>

  <Accordion title="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
  </Accordion>

  <Accordion title="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
  </Accordion>

  <Accordion title="Comparison Bar Charts">
    Side-by-side bars comparing metrics across products, AAs, or time periods.

    **Best For:** Benchmarking and A/B testing analysis
  </Accordion>

  <Accordion title="Pie Charts and Donut Charts">
    Proportional breakdown of consents by status, AA distribution, or FIP usage.

    **Best For:** Understanding composition and distribution
  </Accordion>

  <Accordion title="Sankey Diagrams">
    Flow visualization showing customer journey paths and transition rates between stages.

    **Best For:** Complex multi-path journey analysis
  </Accordion>
</AccordionGroup>

### 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

### 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 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

<AccordionGroup>
  <Accordion title="Monitor Dashboards Daily">
    Review key metrics every morning to catch issues early. Set up alerts for anomalies.
  </Accordion>

  <Accordion title="Analyze Drop-offs Weekly">
    Deep-dive into funnel stages with high drop-off rates. Test hypotheses and implement improvements.
  </Accordion>

  <Accordion title="Benchmark Against Yourself">
    Track month-over-month and quarter-over-quarter improvements. Celebrate wins with teams.
  </Accordion>

  <Accordion title="Segment Analysis">
    Don't rely on aggregate metrics alone. Segment by product, customer type, and channel to uncover hidden patterns.
  </Accordion>

  <Accordion title="Correlate with External Events">
    Consider external factors (holidays, marketing campaigns, AA downtimes) when analyzing trends.
  </Accordion>

  <Accordion title="Share Insights Cross-Functionally">
    Regularly share dashboard insights with product, engineering, and business teams to drive organization-wide optimization.
  </Accordion>
</AccordionGroup>

## 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.

### Scenario 2: Optimizing Consent Template

**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

<CardGroup cols={2}>
  <Card title="Admin Portal Guide" icon="book" href="/guides/admin-portal">
    Learn how to navigate and configure dashboards
  </Card>

  <Card title="Smart AA Router" icon="route" href="/guides/features/smart-aa-router">
    Optimize routing based on MIS insights
  </Card>
</CardGroup>

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