Refining Data Quality to better detect fraud

Refining Data Quality to better detect fraud

In short

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.

01.

LAUNCH

2022

03.

DURATION

6 weeks

04.

SECTOR OF ACTIVITY

Water & energy

The project in detail

This company in the environmental sector called on our services to strengthen the quality of its customer data and identify non-contractual water consumption. Thanks to the integration of several external databases with this company's existing data, we were able to detect inconsistencies and significantly enrich their customer base.

Refining Data Quality to better detect fraud
01.

The need

As part of the Water Plan, the objective of this major undertaking was twofold: improve the quality of its customer database and identify possible non-contractual uses of water. To do this, it was essential to gather and centralize information from various external sources, and to compare it carefully with the company's customer data.

02.

The solution

We extracted data from various external databases (BAN, BDNB, INSEE, etc.) and compiled them in a interactive mapping equipped with filters. By juxtaposing this information with business data, a process of automatic matching allowed us to highlight similarities and differences. This led to the isolation of key information to target non-compliant uses of water.

03.

The results

Our approach allowed to enrich the company's customer database by more than 20%. It also highlighted cases of non-contractual water consumption, leading to regulations for some users. As a result, this major environmental company was able to significantly improve the quality of its data and refine its fraud detection methods.

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