Challenge

The data loaded into the data warehouse is validated according to predefined rules to ensure data accuracy and compliance. The system contains thousands of rules that needed to be optimized for efficient operation.

During the optimization, the client's request was to make the development and modification of these rules quick and effective, enabling the system to adapt flexibly to changing business needs.

In the business domain, manual correction of data quality had previously posed significant challenges for the bank. To simplify and expedite the work of data stewards, the client sought a solution that could make this manual correction process more effective.

How we helped?

• Optimization of the Rule System
• The system contains thousands of rules that were optimized to ensure efficient operation. The rule system is flexible and easily extendable, enabling quick adaptation to new business requirements and data structures.
• Scheduled Execution and Fast Error List Generation for Simplified Manual Corrections
• To improve the process, we enhanced the system with a detailed error list used by data stewards during month-end closing. This error list enables them to quickly identify and correct faulty rows and fields using record identifiers and key values.
• More Efficient Solutions to Replace Manual Checks
• To address data quality issues and identify discrepancies among various data sources, we replaced the previous manual verification processes with more efficient, automated solutions. This improvement significantly enhanced the effectiveness of data quality assessments for Basel II, RDP, and Hitreg reports.