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Master Data Management 1 big thing: Develop experience illustrating research through visualizations, including charts and graphs, infographics, evidence capture.
The big picture: Make sure the it security and risk team is part of the it policy and planning division which is responsible for it policies, architecture, security risk, and governance for the idb group.
Why it matters: Develop a partnership acting as a liaison between technical and business teams to understand, troubleshoot, interpret and advise on business needs and/or problems.
Under the hood: Oversee the day to day operations of the team and engaging with business partners to adhere to and maintain the master data governance processes.
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Go deeper: Define key performance indicators for quality and compliance metrics to ensure data related policies and standards are followed and being embraced, and provide a data governance scorecard.
Be smart: Make headway so that your process is participating in data governance organization and serving as a contributor to regular data governance presentations to executive leadership.
Meanwhile: Build a service model that meets the non homogeneous needs of the business full service to self service across the entire data landscape.
On the flip side: Review test results to ensure compliance with all requirements and design specifications Create and maintain application documentation with priority for specified work projects.
How it works: Participate in the development of architectures, strategies, and policies around data governance, including master data management, metadata management, data quality and data profiling.
What we’re hearing: “Ensure your operation provides guidance to AD on existing processes and supporting documentation is kept current, readily available and leveraged in the day to day activities of the team members or for potential audit.“, Jonathon F. – Conservation Programs Mgr
What to watch: Secure that your personnel partners with business units, risk management and internal audit to develop, promote and enforce standards and best practices to manage data as a corporate asset.
The backdrop: Warrant that your workforce interprets a variety of rules, regulations, policies, procedures, and documentation for internal and external business partners to facilitate understanding, enhance communications, and ensure compliance.
The bottom line: Make sure the technical infrastructure includes systems and applications for: master data management, data transformation, cloud data warehouse storage, workflow and project management, external data registry, data visualization, industry data sources, etc.
What’s next: Make sure the data architect is asked to conceptualize and influence business applications, and therefore must understand what advice to give and where to plug in to steer toward desirable outcomes.
ICYMI: Understand the key business deliverables required for a Program/Project and the associated dependencies on other programs to ensure all dependencies are actively managed.
A MESSAGE FROM THE ART OF SERVICE
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