614 words, 2.3 minutes read. By Gerard Blokdyk

Data Governance 1 big thing: Make connections across datasets and data systems to comprehensively view of public health issues.

The big picture: Establish that your strategy understands and implements the governing principles that guide data analytics integration, which includes partnership with Data Governance and Information Risk Management.

Why it matters: Be certain that your design recommends initiative funding and sets priorities for the Data Management and Governance Program developing and managing data governance awareness and training.

Meanwhile: Oversee that your operation is working with organization personnel to assess, develop and implement feasible and effective data management plans that balance strategic and operational needs.

Between the lines: Lead architecture governance activities related to BI and Analytics including participation in data governance committee(s) (with priority) and technology architecture review (with priority).

Under the hood: Develop and promote a data driven approach by proactively identifying new potential analysis projects and highlight key opportunities to drive your organization forward.


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On the flip side: Engage data owners and stewards, business users, and the data management team to ensure Data Governance and Quality processes are implemented and managed, including updating and maintaining documentation, identifying and documenting critical data elements, preparing and managing business and technical metadata, defining data quality thresholds, and the identifying and triaging data integrity issues.

Be smart: Make headway so that your staff is responsible for developing strategies to increase efficiencies in data management on line and offline data assets.

What they’re saying: “Assure your company fosters a culture in the Business Data Governance team focused on all aspects of employee development, including the oversight of goal setting, sharing of best practices, workload balancing, teambuilding and professional development., Senior Manager of Data Governance

Yes, but: Collaborate with business data stewards to advance and optimize adoption of enterprise data governance and engagement through the execution of use cases and other means of iterative adoption.

What to watch: Move along with be the voice of data in IT architecture conversations and/or where initiatives/applications involving data and know when to bring in the Enterprise Data Stewards.

The bottom line: Evaluate system integrations, data flows, data models, data architecture, and understand how cross-functional and cross-subsidiary teams consume and activate data to plan out data integration and data sharing environments.

What’s next: Develop experience in direct oversight of hardware, server, networking and enterprise-wide and business unit-specific software applications, as well as data governance and information security, and involvement formulating and implementing a Technology Roadmap and maintaining technical oversight.

ICYMI: Make headway with you area proven leader, having lead teams successfully and helped to ensure through good planning, coaching and engagement that your team has also been successful.

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