621 words, 2.3 minutes read. By Gerard Blokdyk

Data Governance 1 big thing: Operationalize and support the achievement of the Master Data Management and Data Governance goals.

The big picture: Assess the current state of data platforms and data technologies that exists in the enterprise and establish a future roadmap for the modern data and analytics platform.

Why it matters: Secure that your process works closely with Architects, IT and Data Scientists to design, build, test, deliver, maintain and optimize sustainable and highly scalable data structures in support of strategic data science initiatives.

Yes, but: Ensure your workforce leads the execution of the data workstream of your organizations significant core (ERP) and edge application projects including the data definition, enrichment and cleansing efforts on such projects.

Between the lines: Confirm that your team is responsible for creating policies, processes, procedures, ad action plans that improve the quality, standards, and consistency of data and information assets.

What we’re hearing: “Oversee that your strategy has knowledge and involvement in researching, analyzing, interpreting, and synthesizing information to make an informed decision and/or share the knowledge with team members., Sr Data Analyst

What to watch: Make sure the team acts as the main point of engagement with your (internal) customers on projects, including analytical partners, to discover and drive new and enhanced content creation through definitions, lineage, mapping, readiness, and inventory.

What they’re saying: “Be certain that your group collaborates with IT, evaluate/assess new and existing governance tools to meet the governance needs of the selected application(s)., Global Chief Data Office – Data Governance Analyst

The backdrop: Interface so that your operation willingness not only to understand the technical nature of the task, and to build the subject domain knowledge around why the task is being done and how the results are being utilized by the business.

Under the hood: Monitor and advise your organizations leadership on the potential business impact of new, pending, or proposed overarching and state legislation, rules, and regulations, as well as industry developments and trends related to privacy, information security, and data governance that may affect your organization and its operations.


 


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On the flip side: Provide company-wide guidance, best practices, data classification, and support to develop and promote data governance, to ensure real-time trusted and consistent data is communicated with internal and external partners.

The bottom line: Ensure your team analyzes and identifies data sources, data redundancy, and implements processes to remediate data issues and/or data clean up efforts.

What’s next: Assure your design manages multiple teams of business analysts supporting multiple systems or over your organization analysis functional area (depending on size of business).

ICYMI: Make headway so that your operation guides the IT organization in applying an engineering lens toward adopting progressive, modern operational and service management practices.


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