Data Governance in Action: Brightpoint’s Journey to a Unified Program Data Map

Human services often struggle with a deceptively simple question: How many programs do we actually have? At Brightpoint, different teams, systems, and departments previously used different names and definitions for the same programs, making enterprise reporting slow, inconsistent, and difficult to trust. In addition, program staff, finance, quality improvement, HR, and IT all viewed “programs” through different lenses, with no shared language to connect financial, operational, quality, and impact data.  

This webinar will introduce Brightpoint’s Program Data Model, which helped to overcome these challenges. This organization-wide framework was designed to create a single, authoritative source of truth for program data and to strengthen enterprise data governance. 

Brightpoint leaders will walk through why the Program Data Model was created, what it took to build it, and how it is maintained as a living asset. Participants will learn how Brightpoint established a standardized, multilevel structure that aligns service areas, service lines, and program definitions across operational, financial, and reporting needs. The discussion will highlight the cross-department collaboration required to reconcile multiple systems, align historically inconsistent language, and apply governance rules for adding, changing, or retiring programs over time. 

Finally, the webinar will show how Brightpoint uses its Program Data Model today—from enterprise dashboards and quality reporting to internal planning, service directories, and external communications. Speakers will share practical lessons learned, common pitfalls, and concrete tips for other organizations considering a similar effort. Participants will leave with a clearer understanding of how a well-governed program data model can improve reporting accuracy, support better decision making, and create a shared data foundation across the entire organization. 

Takeaways

• The importance and uses of a data map
• How to start the process and create a data map
• How to maintain a data map over time
• Discuss the importance of cross-department collaboration

Who Should Participate

• Executive leaders
• Program leaders
• Quality improvement, data, and performance professionals
• Administrative staff (finance, IT, HR, etc.)