When restructuring, roles are often redistributed, but data responsibility must remain firmly anchored. A clearly defined approach prevents confusion, duplication and governance gaps... ?? Take a data mesh approach: assign teams as owners of specific data products to ensure accountability while enabling scalability. ?? Define governance guidelines: Establish clear rules for data access, data quality and data provenance to ensure trust and compliance. ?? Enable cross-team coordination: Regular check-ins and joint documentation ensure that everyone involved is on the same page and avoid silos and miscommunication.

??Define clear roles by assigning data stewards to oversee datasets and ensure accountability. ??Maintain a comprehensive data inventory to track ownership and updates during the restructuring. ??Set up frequent communication channels to clarify roles, responsibilities, and governance protocols. ??Implement data governance policies to avoid confusion and enforce ownership standards. ??Regularly review ownership assignments to adapt to team and organizational changes. ??Use collaboration tools to track data access and streamline responsibilities.

Assigning data ownership is challenging, a role that often involves added workload without compensation. However, five key questions can simplify the process: 1. Who best understands the data? Identify the person with the deepest understanding of the data's context and purpose. 2. Who can improve data quality? Assign the role to someone with the authority to drive necessary changes. 3. Does the Chief Data Officer (CDO) recommend someone? If a CDO is present, they may have a candidate in mind. 4. Who did the previous owner assign? In reassignments, check if the prior owner designated someone. 5. Has the data been transformed? If so, the transformer becomes the owner of the new data element.

Hay que identificar la importancia de los datos que tenemos, para identificar los data owners y data stewards en cada uno de ellos. Clarifica la situación de estas posiciones en la estructura final, y asigna claramente las responsabidades en el manejo de los datos a data owners y data stewards. Mantén una comunicación fluída con los responsables de los datos, para identificar aspectos de mejora, en sus funciones.