Enterprise Data Governance

Enterprise Data Governance enables CSL’s mission by ensuring enterprise data is reliable, high-quality, accessible, and fit for decision-making. While CSL has invested in core governance technologies, long-term success depends less on tools alone and more on process adoption, consistent execution, and behavior change across Functions.

This senior project gives students the opportunity to work directly with CSL’s Enterprise Data Governance team to tackle real-world governance challenges. Students will analyze current processes, design automation-enabled solutions, and generate insights that inform CSL’s data governance roadmap. The work emphasizes process improvement, operational monitoring, automation, and change management, with a focus on practical, enterprise-ready outcomes.

The project spans three core focus areas over nine months (note the document incorrectly says 6 months), aligned with Drexel CCI’s multi-term capstone experience.

Problem Statement

Enterprise Data Governance at scale faces several persistent challenges:

· Data is owned, defined, and maintained differently across Functions

· Governance relies heavily on manual spreadsheets, task trackers, and slide‑based reporting

· Data quality monitoring is largely reactive

· Adoption of standards requires ongoing reinforcement and visibility

· Dashboards show “health” but lack automation and feedback loops that drive action

These challenges are process‑centric, requiring solutions that blend automation, usability, and change enablement.