700 words, 2.6 minutes read. By Gerard Blokdyk
Data Governance 1 big thing: Implement methodologies, processes, and best practices to bring data and analytics awareness.
The big picture: Secure that your workforce has involvement in the use of tools, methodologies and problem solving approaches in the area of data governance best practices.
Why it matters: Develop experience leading data governance type initiatives, and the creation and deployment of policies, processes, and tools to facilitate the creation and capture of structured and consistent data from digital campaigns to enable reporting and automation efforts.
What to watch: Collaborate with business unit and/or project stakeholders, data stewards, data owners and data custodians in collecting business artifacts for governance and management of data assets, as defined in policy and standards as well as issue resolution activities related to data quality.
On the flip side: Verify that your personnel researches, coordinates and installs software releases and database integration to ensure no business interruption in meeting your operational requirements.
The backdrop: Confirm that your group is responsible for data governance oversight of the integration of (internal) client and property master data; validate downstream impact and improvements being implemented to ensure that best practices are followed.
Yes, but: Be certain that your team acts as a data steward to provide proactive education and training to end users across the system to eliminate data integrity issues.
Under the hood: Work with SMEs and business representatives to understand current data and define the appropriate mapping; resolving discrepancies during data definition as well as providing testing support.
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Meanwhile: Develop experience working with the GDPR, CCPA, CPRA, and other relevant state and overarching privacy regulations to perform data governance, data protection, compliance program assessments and privacy program implementations.
State of play: Ensure you know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so you strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
Between the lines: Develop data governance, policies and procedures to ensure data integrity and compliance with corporate, SOX and other regulatory, audit and compliance standards and controls.
How it works: Collaborate with internal auditors to ensure compliance with all Data Governance policies and procedures and instill practices to mitigate any data breach risks.
Go deeper: Work with stakeholders and the technical team to establish and manage match/merge that identifies duplicate data across data sources and align required action such as survivorship and trust rules in accordance with the organizations data governance procedures.
The bottom line: Ensure you have involvement using cloud-based data warehousing and ETL tools, visualization software, A/B testing tools and instrumentation techniques and, as well as working on a team using Git and Agile development processes.
What’s next: Develop collaborative relationships with business and Technology partners, providing leadership in communicating keys and D data governance activities, strategies, data impacts, and quality issues.
ICYMI: Identify and standardize the use and governance of data and analytics, have oversight and ensure that standardized data governance tools including data requirements documents, data lineage work flows, metadata forms, data models, etc.
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