588 words, 2.2 minutes read. By Gerard Blokdyk
Data Governance 1 big thing: Invest in the development and implementation of your organizations privacy and data governance program.
The big picture: Make headway so that your workforce maintains key relationships with entity staff and IT to proactively identify continuous improvement opportunities for enhanced productivity and operational efficiencies.
Why it matters: Be able to translate the information architecture contribution to business outcomes into simple briefings for use by various data and analytics related roles.
Between the lines: Interface so that your group understands the business value of data and communicates the importance of information to your organization in partnership with business counterparts and data governance processes.
Be smart: Make sure the MDM lead provides leadership, facilitation, analysis and design tasks for the development and ongoing expansion of your organizations MDM solution.
What they’re saying: “Warrant that your organization assists with third party vendor contract renewals, specifically addressing the sharing of personal data or the integration of any third party technical system and/or software.“, Manager Site Reliability Engineering
How it works: Assure your strategy is leading execution of the organizations data governance roadmap and collaborating with information security/governance team to monitor and enforce enterprise data policies and standards for the organization.
On the flip side: Safeguard that your process leads the planning, development and execution of the data definition and transformation elements of the significant core (ERP) and edge application projects including the cleansing and enrichment of existing data assets.
State of play: Warrant that your strategy is involved in MDM platform including expertise with MDM data models, matching rules, trust frameworks, complex hierarchy relationship management and data governance.
What to watch: Work involves establishing and managing organization wide information governance strategy; designing and implementing data sharing and reporting strategies that align to your organizations goals and objectives.
Yes, but: Interface so that your process is cultivating a culture where data governance, reporting, and self service data analysis all work together without conflict.
The bottom line: Establish that your strategy demonstrates thorough abilities to perform the following as it relates to data governance, risk and finance architecture, and analytics: program evaluation, risk assessment, controls identification and testing, industry specific regulatory compliance.
What’s next: Liaison so that your workforce leads the Business Data Governance team; identify and manage team members, educate and empower them, and determine changes in team structural needs over time.
ICYMI: Guarantee your group is mapping artifacts to a data architecture framework and managing data/message requirements in an Enterprise Application Integration environment for Middleware layer.
Look inside the Data Governance Kanban:
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