Case Study

Ensuring 100% Data Accuracy for a Global Tech Company

challenge

Poor Data Quality

Our client, a global technology company, needed to launch an internal revenue reporting system for ingesting and tracking federal revenue data. The project required coordination across a large number of teams, ERP systems and virtual desktops, with significant manual work needed to fix data issues. Since the CEO used this data on earnings calls with shareholders, it had to be accurate, timely and easily available. External reporting regulations added further pressure to ensure 100% data quality.

solution

Data Auditing Engine

Our team built requirements and an audit engine to quickly detect and resolve data quality issues. Collaborating with our client’s internal teams, we identified the correct attributes to fix error rows and ensured 100% data accuracy for external reporting through follow-up audits.  Our team was crucial in resolving these issues especially during Month End.

results

More Accurate Data, More Timely Reporting

Our solution significantly reduced data quality failures. Automated validation improved efficiency and enhanced communication across a large number of teams who rely on this data. With more accurate data and more timely reporting, our client has also avoided unnecessary regulatory scrutiny.

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