Data Quality Enhancement Framework

Client of Exceed IT Services

This project focuses on developing and implementing an enterprise-wide Data Quality, Governance, and Catalogue platform to improve the reliability, consistency, usability, and accessibility of structured and semi-structured data across multiple operational domains. The project aims to transition the organization from fragmented, manually-handled data into a unified, automated environment where information is trusted, clean, traceable, and accessible for operational and analytical use.

The execution spans a 12-month roadmap that includes establishing foundational data quality rules, implementing governance structures, enabling automated profiling and cleansing, building a metadata catalogue, and deploying continuous monitoring through dashboards and validation workflows. Upon completion, the organization will possess an internally driven, sustainable capability supported by governance, quality control, and standardized data practices.The scope of this project covers design, implementation, rollout, and enablement of an enterprise data quality foundation. It involves both technical deployment and operational governance embedding. Scope components include:

• Developing an enterprise Data Quality framework, including quality dimensions, validation rules, scoring, and integrity standards.
• Implementing a Data Catalogue platform with searchability, metadata layers, lineage mapping, ownership allocation, and rule repositories.
• Deploying a DQ Rules Engine for profiling, cleansing, standardization, deduplication, and automated validation.
• Conducting 30 40 profiling exercises across Traffic, Crime, HR, Admin, and Security datasets to establish a quality baseline and identify critical data gaps.
• Creating dashboards, scorecards, heatmaps, and DQ visual reporting for ongoing monitoring and continuous improvement.
• Rolling out the solution organization-wide, ensuring consistent governance, stewardship assignment, and domain standardization.

This scope remains end-to-end, covering assessment, design, implementation, enablement, and long-term operational adoption.