Revenue Assurance ConsoleWater billing · 29 months
Billing performance report · Jan 2024 — May 2026

Reads got accurate. Now the question is the silent third of the meter base.

Two and a half years of metering data across ~94,000 accounts. Billing quality has transformed, but a growing block of zero-consumption meters now sits between the utility and its revenue. This console lays out both, and where to act.

Latest closed month: May 2026
The win · billing quality

Actual meter reads

96.6%
76.9% 96.6% of billed accounts

Estimated bills have all but disappeared — from 4.3% of accounts down to 0.2%. Unbilled accounts fell from 18.8% to 3.3%. The read-to-bill process is now reliable.

The concern · revenue leakage

Zero-consumption accounts

32,684
16,293 32,684 · now 34.8% of all accounts

The count has roughly doubled since Jan 2024 and keeps climbing (+29% YoY). A third of the meter base is billed but consumes nothing — the single biggest revenue and data-integrity question in the data.

01

Water losses (non-revenue water)

Share of water that does not convert into billed revenue each month — the gap between what enters the network and what reaches a bill. The single largest leak in the system is the system itself.

Monthly vs year-to-date losses
 
Monthly losses Year-to-date average 2026 target (39%) Khareef (Jul–Sep)
Losses = volume not converted to billed revenue (non-revenue water). Year-to-date average resets each January.
02

Billing quality transformation

Share of accounts billed on an actual read, an estimate, or not billed at all. Higher actual share means cleaner revenue and fewer disputes.

Actual read % Estimated % Unbilled %
03

Long reading intervals (>32 days)

Number of accounts each month whose gap between consecutive meter reads exceeded 32 days — a reading-cadence signal. Spikes mean reads slipped past the monthly cycle, which feeds estimated bills and revenue timing gaps.

Accounts read more than 32 days apart
 
Accounts >32 days Trend
COUNTIF(month, ">32") over all accounts in Days_Difference_Analysis. Hover a point for the count and its share of accounts read that month.
04

Consumption trend

Total billed water volume (CBM) per month, read as a controlled process: a statistical band flags months that fall outside normal variation.

Output vs statistical control band
 
Volume billed Outlier Trend Khareef (Jul–Sep)
Monthly billed volume in CBM (m³). Control band uses Tukey fences (Q1−1.5·IQR to Q3+1.5·IQR); points beyond it are flagged as outliers.
05

Account base vs. silent meters

Billed accounts keep growing (+7.2% YoY), but zero-consumption meters are growing faster. Net active, paying meters are barely moving.

Billed accounts Zero-consumption accounts
06

Where the water goes

Consumption by customer class for May 2026. A very small set of major accounts drives the majority of volume — concentration that is both an opportunity and a risk.

CONCENTRATION READ-OUT
07

Revenue-at-risk register

The accounts that need field action, broken out by how long they have been silent or unbilled. Permanent zeros and long-term unbilled meters are the highest-priority investigations.

Zero-consumption accounts over time
08

By meter type

Billed accounts and consumption split by tariff/meter type code for May 2026. Codes 611 and 615 dominate the account count; types 611 and 711 carry the heaviest volume.

Type codeBilled acctsVolume (CBM)CBM / acct
09

Top 20 consumers (rolling 12 months)

The accounts carrying the most volume. These are the meters where read accuracy, leak checks, and tariff correctness matter most — and where any silent month is materially expensive.

#AccountType12-month CBMMonthly avg
11

What the data says to do

Reading the trends as decisions, not just numbers. Ordered by likely revenue and risk impact.