Analytics Overview

BankVision provides powerful analytics tools to help you make data-driven decisions:

Key Metrics

Revenue Metrics

  • Gross monthly revenue
  • Average daily deposits
  • Revenue growth rate
  • Peak revenue days

Cash Flow

  • Net cash flow
  • Operating cash ratio
  • Cash conversion cycle
  • Working capital

Transaction Analysis

  • Transaction volume
  • Average transaction size
  • Payment method mix
  • Return rate

Risk Indicators

  • NSF frequency
  • Balance volatility
  • Overdraft patterns
  • Unusual activity

Interactive Dashboards

Track revenue patterns and growth trends across different time periods.

Custom Reports

Create tailored reports for different business needs:

1

Select Metrics

Choose from available metrics:

  • Financial ratios
  • Growth indicators
  • Risk factors
  • Custom calculations
2

Set Parameters

Define report parameters:

  • Date ranges
  • Comparison periods
  • Threshold values
  • Grouping options
3

Configure Visualization

Select visualization types:

  • Charts
  • Tables
  • Heat maps
  • Trend lines
4

Schedule & Share

Manage report distribution:

  • Automated scheduling
  • Export options
  • Sharing permissions
  • Alert settings

Data Visualization

Chart Types

Multiple visualization options:

  • Line charts
  • Bar graphs
  • Pie charts
  • Scatter plots

Interactive Features

Enhanced user interaction:

  • Drill-down capability
  • Dynamic filtering
  • Custom views
  • Data export

Advanced Analytics

API Integration

Access analytics through our API:

curl -X GET "https://api.bankvision.com/analytics/revenue" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "deal_id": "123",
    "start_date": "2024-01-01",
    "end_date": "2024-02-01"
  }'

Best Practices

Data Quality

Ensure accurate analytics:

  • Complete data sets
  • Regular updates
  • Data validation
  • Error checking

Report Design

Create effective reports:

  • Clear objectives
  • Relevant metrics
  • Intuitive layout
  • Action insights

Security

All analytics data is protected with:

  • End-to-end encryption
  • Role-based access
  • Audit logging
  • Secure exports

Next Steps