609 words, 2.3 minutes read. By Gerard Blokdyk
Data Governance 1 big thing: Grow your organizations analytics program and increase the use of data in decision making.
The big picture: Perform account and data governance activities as annual reset of service account and maintenance of service account details (updating owners, passwords, and empty security groups).
Why it matters: Make sure the function develops and maintains full governance and compliance capability across the enterprise and manages the service provisioning to the relevant Business Units and LoBs.
Go deeper: Make sure your workforce ensures quality of master data in key systems, as well as, development and documentation of processes and procedures with other functional data owners to support ongoing maintenance and data integrity.
Yes, but: Collaborate with legal and policy units to ensure that legal briefs and policy analyses for major data sets are reviewed and new policy issues (due to legislative or other changes) are addressed.
On the flip side: Build and maintain a strong, two way, safe, trusting working relationship with the team, based on achieving business goals and enabling them to work to the full potential.
State of play: Establish the data governance strategy and build a central function to meet the needs of all business stakeholders, provide oversight for data management capabilities, and support the data analytics function.
Meanwhile: Liaison so that your group provides support to the governance team with the design, development and implementation of the data governance framework, policy, standards, procedures and corresponding operations.
What to watch: Work with the Dev Ops teams to solicit pertinent information as it relates to new data points and compile them for the reporting team.
What they’re saying: “Expand an entity managing relational database structures, theories, principles, and practices, Data Governance, Data Quality Management, Metadata Management, and Conceptual and Logical Data Design.“, Manager, Tier 1 Support (Remote US West Coast)
Between the lines: Guarantee your strategy provides input into and support of technology strategy with Enterprise IT to ensure Data Governance principles and controls are designed and built into all solutions.
Be smart: Verify that your operation works directly with third party vendors to coordinate release upgrades, resolve system failures, and define specifications for new system features.
The bottom line: Work with business, technology and data stewards on driving data clean up and validation efforts across various systems to achieve single sources of Master Data.
What’s next: Construct a single and authoritative repository of the enterprises data through conceptual, logical, and physical data models, as well as data flow diagrams at various levels of detail.
ICYMI: Grow a data governance or quality practice for a small to mid sized organization that includes managing enterprise data domains and aligning cross functional stakeholders.
Look inside the Data Governance Kanban:
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