# Leveraging Data Optimization to Combat Fraud in the Environmental Sector

Client : Water & Environment Company

Increase the quality of your data and detect anomalies through in-depth, multi-source analysis.

The fight against fraud requires impeccable data quality. Our collaboration as part of the Water Plan illustrates how AI can help data quality and anomaly detection.

## The Challenge

The company had to address several critical challenges:

- Enrich your customer database

- Detecting non-compliant uses of water

- Integrate multiple external data sources

## Our Approach

By combining Data engineering and data quality standards, we have developed:

- An interactive multi-source map

- An intelligent automatic matching system

- Real-time data validation

## The Results

Our intervention generated:

- A 20% enrichment of the customer base

- Precise identification of non-compliant uses

- A significant improvement in data quality

This achievement demonstrates how the alliance between Data lineage and Data preparation automation can transform the fight against fraud while optimizing data quality.