Analytics and Reporting

Overview

TimveroOS provides business intelligence capabilities through integrated BI Dashboard (Apache Superset) for monitoring lending operations, portfolio performance, and operational metrics. The platform captures data from applications, workflows, and servicing operations to enable real-time analytics and reporting.

Reporting Capabilities

BI Dashboard Access

Location: Main Menu → BI Dashboard Technology: Apache Superset

Features:

  • Visual dashboards with charts and graphs

  • SQL-based data queries

  • Real-time and historical analytics

  • Scheduled report generation

  • Export capabilities (CSV, PDF)

  • Role-based access control

Available Data Sources

Application Data:

  • Application volumes and trends

  • Status distribution

  • Processing times

  • Approval/decline rates

  • Channel performance

  • Product mix

Portfolio Data:

  • Outstanding loan amounts

  • Payment performance

  • Delinquency rates

  • Product distribution

  • Geographic analysis

  • Vintage analysis

Workflow Data:

  • Decision outcomes

  • Automation rates

  • Manual review volumes

  • Data Source performance

  • Processing times

  • Error rates

Operational Data:

  • User activity

  • Task completion times

  • Department workload

  • System performance

  • API response times

Dashboard Configuration

Step 1: Create Dashboard

  1. Navigate to BI Dashboard

  2. Select "Create Dashboard"

  3. Choose layout template

  4. Add visualization widgets

Step 2: Configure Widgets

Widget Types:

  • Line charts (trends over time)

  • Bar charts (comparisons)

  • Pie charts (distributions)

  • Tables (detailed data)

  • Maps (geographic data)

  • KPI cards (single metrics)

Configuration Options:

  • Select data source

  • Define metrics to display

  • Choose dimensions for grouping

  • Apply filters

  • Set time range

  • Configure refresh rate

Step 3: Set Permissions

  • Assign dashboard to user roles

  • Configure data access levels

  • Set view/edit permissions

  • Schedule automated refresh

Common Dashboard Examples

Example 1: Daily Operations Dashboard

Purpose: Monitor real-time application processing

Widgets:

  1. Application Volume (Line chart)

    • Applications by hour

    • Today vs. yesterday comparison

    • 7-day trend

  2. Status Distribution (Pie chart)

    • New, In Progress, Approved, Declined

    • Percentage breakdown

  3. Processing Times (Bar chart)

    • Average time by stage

    • Target vs. actual

  4. Decline Reasons (Table)

    • Reason categorization

    • Count and percentage

Example 2: Portfolio Performance Dashboard

Purpose: Track loan portfolio health

Widgets:

  1. Outstanding Balance (KPI card)

    • Total portfolio value

    • Month-over-month change

  2. Delinquency Rates (Line chart)

    • 30/60/90 day delinquency trends

    • By product type

  3. Payment Performance (Stacked bar)

    • On-time payments

    • Late payments

    • Missed payments

  4. Product Distribution (Pie chart)

    • Outstanding balance by product

    • Loan count by product

Example 3: Credit Decision Analytics

Purpose: Analyze automated decision performance

Widgets:

  1. Automation Rate (KPI card)

    • Straight-through processing percentage

    • Manual review percentage

  2. Decision Distribution (Stacked area)

    • Approvals, Declines, Manual Review

    • Trend over time

  3. Score Distribution (Histogram)

    • Credit score ranges

    • Approval rate by range

  4. Data Source Performance (Table)

    • Success rate per source

    • Average response time

    • Error count

Example 4: User Productivity Dashboard

Purpose: Measure team performance

Widgets:

  1. Applications Processed (Bar chart)

    • Per user/department

    • Daily volume

  2. Manual Review Times (Box plot)

    • Average completion time

    • Distribution by complexity

  3. Workload Distribution (Heat map)

    • Tasks by user and day

    • Capacity utilization

Standard Reports

Application Reports

Daily Application Summary

  • Application count by channel

  • Status distribution

  • Conversion rates

  • Average processing time

Product Performance Analysis

  • Application volume by product

  • Approval rates per product

  • Average loan amount

  • Popular term lengths

Channel Effectiveness

  • Applications by channel

  • Conversion rates

  • Processing times

  • Cost per acquisition

Risk Reports

Decline Analysis

  • Decline reasons by frequency

  • Decline rate by product

  • Score distribution of declines

  • Manual override analysis

Score Distribution

  • Credit score ranges

  • Approval rate by score band

  • Decline rate by score band

  • Manual review triggers

Portfolio Risk Indicators

  • Delinquency roll rates

  • Vintage performance

  • Risk concentration

  • Covenant compliance

Operational Reports

User Activity Summary

  • Login frequency

  • Task completion rates

  • Average handling time

  • Productivity metrics

System Performance

  • API response times

  • Data Source reliability

  • Workflow execution times

  • Error rates

Process Efficiency

  • Cycle time by stage

  • Bottleneck identification

  • Automation effectiveness

  • Manual intervention frequency

Data Integration for Reporting

Internal Data Sources

  • Application database

  • Loan servicing database

  • Workflow execution logs

  • User activity logs

  • Audit trail data

Data Refresh

  • Real-time data for operational dashboards

  • Cached data for historical reports

  • Scheduled refresh (hourly, daily, weekly)

  • Manual refresh on demand

SQL Query Access

BI Dashboard supports custom SQL queries for:

  • Complex metrics calculation

  • Data joining across tables

  • Custom aggregations

  • Specialized reporting needs

Implementation Resources

Through Admin Panel (Step 2)

Analytics Configuration:

Through SDK (Step 1)

Advanced Customization:

  • Custom data transformations

  • Complex calculated metrics

  • Integration with external BI tools

  • Specialized visualization types

Best Practices

Dashboard Design

  • Focus on key metrics (5-7 widgets max)

  • Use appropriate chart types

  • Keep real-time data for operations

  • Use scheduled refresh for historical analysis

  • Group related metrics together

Performance Optimization

  • Cache frequently-accessed data

  • Use appropriate aggregation levels

  • Limit date ranges for large datasets

  • Schedule resource-intensive reports during off-peak

Data Governance

  • Define metric definitions clearly

  • Document calculation logic

  • Maintain consistent naming conventions

  • Regular data quality checks

Security

  • Role-based dashboard access

  • Row-level security for sensitive data

  • Audit log review access

  • Regular permission audits

Troubleshooting

Common Issues

Slow Dashboard Performance:

  • Reduce date range

  • Increase cache duration

  • Optimize SQL queries

  • Check data source performance

Missing Data:

  • Verify data refresh schedule

  • Check data source connections

  • Review query filters

  • Validate permissions

Incorrect Metrics:

  • Verify calculation logic

  • Check data source accuracy

  • Review aggregation levels

  • Validate time zone settings


TimveroOS: Real-time analytics for data-driven lending decisions

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