It's very important to start from a solid use case, technical or business, but having business support and sponsorship is crucial.
It's equally important having a solid vision and a high-level plan as to where to head to.
Without a doubt, it is important to look into the end-users of the data governance program and plan the whole user journey from data production to consumption and decommissioning.
Data governance is the set of processes, policies, and technologies that ensure data quality, accuracy, and security throughout its lifecycle. Data governance tools help organizations implement and manage their data governance programs. These tools can automate many tasks involved in data governance, such as data discovery, classification, lineage, and quality assessment.
You have to ensure cooperation between Data Quality Managers and the owners of the data assets.
Neither party alone can effectively tackle Data Governance.
It's very important to start from a solid use case, technical or business, but having business support and sponsorship is crucial.
It's equally important having a solid vision and a high-level plan as to where to head to.
Without a doubt, it is important to look into the end-users of the data governance program and plan the whole user journey from data production to consumption and decommissioning.
Data Quality being the first followed by Metadata and then followed by the Correct tools utilised.