CUSTOMER STORY | ENERGY

Enel Codensa cuts its monthly billing data processing from 1,520 hours to 80

Enel Codensa, an electricity provider, rebuilt its monthly billing ETL process with TIMi. Processing is 19 times faster and billing errors are found in 3 days instead of 2 months.

Productivity gain on billing


95%

Faster billing processing (1,520 h to 80 h)


19x

Faster error detection (2 months to 3 days)


20x

OVERVIEW


The challenge.

The monthly billing process relied on a heavy ETL, and errors surfaced late.


1,520 hours a month

The monthly billing ETL needed 1,520 hours of data processing.


Errors found after 2 months

The error detection cycle took 2 months.

SOLUTION


What was done.

TIMi transformed the monthly billing ETL process.

Rebuild

The monthly billing ETL process was rebuilt with TIMi.

Scale

The solution processes 1.8 billion IoT data points per month on a single server.

Real time

Processing is fast enough to enable real-time billing.

RESULTS


What changed.

Faster processing, earlier error detection, and a return on investment within the first year.

Processing time

Reduced from 1,520 hours to 80 hours per month, a 19x reduction.

Error detection

Accelerated from 2 months to 3 days, a 20x reduction.

Return on investment

The ROI exceeded the license cost within the first year, based solely on man-hours saved and excluding other business benefits.

USE CASES BEHIND THIS STORY


Read the method.

IoT Data Processing

Icon illustrating IoT Data Processing

Receive and process MQTT sensor streams on one or two standard servers.

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Data Integration

Icon illustrating Data Integration

Extract, clean, load and verify data from 80+ sources on one server.

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SEE FOR YOURSELF


Test it on your own data.

Run TIMi on your own data with a free trial, or talk to us about your case.

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