Data Intake and Analytical Platform

Data Integrity Challenge

A large private equity firm wanted to improve its strategic reporting and data analytics capability. However, there were issues with the integrity and quality of the data in its reporting platform. The platform played a central role in key business activities such as investment management, fund monitoring, and external communications. While the firm had a data warehouse and various Business Intelligence (BI) and reporting tools, the sourced data lacked trustworthiness, clarity, and usability. This compromised its ability to derive meaningful insights and make informed decisions. The absence of structured data management services and effective data governance software further exacerbated the issue.

Solution

DataArt conducted a thorough analysis of the data management and reporting architecture. It identified many issues, including multiple, slightly different, versions of key calculations.

Based on this, DataArt methodically evolved the data warehouse and reporting platform towards a service-oriented, metadata-driven, layered design. It implemented robust data governance software to define ownership of data elements, establish solid data lineage, and enhance accountability. It also introduced metadata analytics that identified data usage patterns. By setting up effective data management services, DataArt ensured robust governance processes, significantly reducing discrepancies in calculations and improving consistency.

Benefits

• Significantly lower time required for data discovery and integration, thanks to optimized data management services.
• Dramatically increased the business’ trust in the data.
• Data governance software introduction ensured more robust, traceable, and consistent data processes.
• Enabled traceable data lineage and comprehensive data usage analytics.
• Platform ready for use by other departments in the firm.