Building & Evolving a Data Governance Framework in a Dynamic Data Landscape to Remain Agile
Your firm’s data governance policy is never fully finished, especially as the construction industry pushes towards more advanced analytics, the volume of project data explodes, and project partner relationships become increasingly complex.
This session will guide attendees through the practical steps of building and evolving a governance framework to ensure that your data is accurate, consistent, and ready to drive smarter decisions as your analytics toolkit expands.
Join forces with fellow analytics professionals to:
- Evaluate whether your data governance frameworks should live within your programs or be physically documented
- Hear lessons learned on balancing formal documentation such as data dictionaries, rules, access levels, and policy maintenance with practical implementation – where does the responsibility lie and how can you incorporate decisions about how end users interact with governed data?
- Understand how to map and model data across multiple systems, including sensitive data
- Navigate governance challenges around security access and strategic layering of AI tools to ensure your framework evolves in line with enterprise needs