To untangle overlapping data responsibilities: Audit Responsibilities: Map tasks and identify overlaps. Clarify Roles: Use a framework like RACI to define who is Responsible, Accountable, Consulted, and Informed. Streamline Processes: Establish clear workflows and reduce redundant efforts. Foster Communication: Promote collaboration and regular check-ins to ensure alignment. Document and Review: Keep responsibilities documented and revisit them periodically for updates.

Unclear responsibilities for data slow down progress and cause confusion. A structured approach ensures accountability, avoids duplication and streamlines cross-team collaboration ... ?? Define clear ownership: Take a data mesh approach, assigning specific teams as owners of their own data products with clear responsibilities. ?? Centralized control, decentralized execution: Use a unified data platform to enforce policies, access controls and data lineage tracking, while allowing teams to manage their data independently. ?? Create a communication framework: Regular cross-team synchronizations ensure alignment, reduce friction and keep governance efforts on track.

?? Define clear roles: Assign specific data responsibilities to each team member to eliminate overlap. ?? Centralize data management: Implement a unified system to ensure consistent access and updates. ?? Regularly review processes: Adapt workflows and responsibilities to align with evolving project needs. ?? Foster collaboration: Establish open communication to clarify expectations and resolve conflicts. ?? Document roles and processes: Create guidelines to ensure accountability and streamline tasks. ?? Automate routine tasks: Leverage tools to reduce manual intervention and improve efficiency.

In my experience, untangling overlapping data responsibilities starts with transparency. First, I map out who is handling what, which often reveals duplication or gaps. For example, during a past project, two teams were unknowingly cleaning the same dataset. I resolved it by clearly assigning one team to preparation and the other to analysis. Next, I implemented a centralized system like a shared data repository with clear access rules. This eliminated confusion over data ownership. Lastly, I introduced bi-weekly reviews to align on changes in responsibilities. These check-ins prevented new overlaps as the project evolved.