Total monetary value of billing discrepancies detected. Includes both overbilling (potential refunds) and underbilling (revenue leakage).
Recovery Potential
R 0
What This Means
Total underbilled gross exposure representing revenue that could be recovered through billing corrections.
Flagged Accounts
0
What This Means
Number of unique accounts with billing discrepancies requiring review. Each account may have flags across multiple billing periods.
Top Issue
-
What This Means
The issue type with highest revenue impact. Addressing this single category will yield the greatest return.
Billing Status Summary
How to read this chart: This chart shows the total revenue impact split between Overbilled (amount charged above expected) and Underbilled (amount charged below expected) accounts.
Click on either bar to drill down and see what's causing the overbilling or underbilling.
Root Cause Analysis - Overbilled
How to read this chart: This Pareto chart shows the root causes contributing to the selected billing status. Each bar represents an issue type with its R-value impact. The same account may appear under multiple issue types (totals may exceed 100%).
The Vital Few (80/20 Principle): The glowing bars represent the "vital few" - typically ~20% of issues that cause ~80% of the impact. Focus your efforts here first for maximum return. These are highlighted with a golden pulse animation.
Tip: This shows what issues exist. For metered services, see Data Integrity Analysis below to understand where in the pipeline these issues originate.
Click on any bar to drill down and see the property category breakdown for that root cause.
Property Category Analysis - Category Mismatch
How to read this chart: This Pareto chart shows which property categories contribute most to the selected root cause.
The Vital Few (80/20 Principle): Glowing bars = the "vital few" categories causing ~80% of this issue. Prioritize these for maximum impact recovery.
Click on any bar to see the individual records for that property category.
Revenue Risk & Billing Accuracy Trend
How to read this chart: The red line shows monthly Revenue at Risk (left axis). The green line shows Billing Accuracy % (right axis). A spike in revenue at risk indicates billing issues detected that month. Hover over data points for detailed values.
Data Integrity Analysis - Pipeline Health
Identifies where data breaks occur in the meter-to-billing pipeline
ⓘ
Two Complementary Views of the Same Data
Data Integrity (this section) provides systemic diagnostics - identifying where data breaks in the billing pipeline so IT/Operations can fix the plumbing. Pareto Charts (click Overbilled/Underbilled bars above) provide root cause quantification - showing how much revenue is at risk and why, so Finance can prioritize recovery. One identifies the systemic fault, the other quantifies the financial consequence.
0%
Complete Pipeline
0 records
0%
Data Gaps
0 records
Analysis excludes 0 prepaid meter records (separate billing model)
Stage
Issue
Records
Accounts
Root Cause Location
Severity
Action
How to read this analysis: This shows where data breaks occur in the meter-to-billing pipeline.
Each stage represents a point where data must flow correctly.
Issues at early stages (Meter Installation, Meter Reading) indicate upstream problems that cascade downstream.
Fix root causes at the source to improve overall data quality.