

For the Government Water Plan, a large company in the environmental sector sought to optimize its customer database and to detect non-compliant uses of water. 10h11 provided the appropriate solution to this problem.
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 need
The company had to address several critical challenges:
- Enrich your customer database
- Detecting non-compliant uses of water
- Integrate multiple external data sources
The solution
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 outcome
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.
