FIT Strategy successfully implemented a data quality pilot project focused on a well-defined yet strategic data perimeter — the HR domain, including employee and supplier records. The main goal was to integrate rules and mini-algorithms into a single system to extract key data quality KPIs such as completeness, validity, and timeliness. This approach ensured a high level of data reliability, achieving a 99% data completeness rate. Initially designed as a monitoring project, it also delivered a significant indirect economic return through efficiency gains.
Concrete Benefits
To reinforce governance in a highly regulated environment, FIT Strategy
- Reduced reworking: thanks to rigorous address validation, issues with sending official communications were eliminated, cutting rework and improving operational efficiency.
- Faster accounting processes: tax code validation streamlined payroll and accounting workflows.
This project shows how even a small-scale data quality initiative can deliver tangible savings and contribute to indirect data monetisation — not through selling data, but by creating a data product that optimises business processes and generates value through efficiency.
Use Case – HR Data Quality Dashboard for Decision-Making
To build on the success of the pilot, FIT Strategy developed an interactive data quality dashboard tailored to HR processes.
Key features
- Implemented a comprehensive data governance framework with advanced tools such as a business glossary, data catalogue, and data quality system.
- Continuous monitoring system to detect and correct data inconsistencies.
- Visualisation tools enabling HR managers to act on data-driven insights.
Main Benefits:
- More accurate HR decisions based on reliable data.
- Reduced risk of errors in employee records and onboarding processes.
- Improved operational efficiency and stronger trust in HR information.