645 words, 2.4 minutes read. By Gerard Blokdyk

Data Governance 1 big thing: Work closely with technology enablement partners to design, create and deploy data governing processes.

The big picture: Capture launch the (internal) client (Buyer) and Intermediary (Producer) Data Domains team establishes (internal) client and producer data strategies through an Enterprise lens and ensures roadmap delivery for all enterprise (internal) client and producer data domain initiatives.

Why it matters: Make headway so that your organization assists with defining and developing solutions to measure data quality and data governance effectiveness and summarizes and presents this in an effective manner to stakeholders and data governance forums.

What to watch: Guarantee your design partners with data governance, data management, IT business partners, and business stakeholder teams to understand data needs and develop solutions.

State of play: Develop experience managing and using a variety of Data Management tools (Metadata Repositories, Data Catalogs, Data Governance Toolsets) and other relevant data management tools.

Yes, but: Participate in the development of architectures, strategies, and policies around data governance, including master data management, metadata management, data quality and data profiling.

How it works: Be sure your workforce is involved in data modelling, data architecture, D and A technology architectures, use of analytical tools to provide business insights, data governance.

Between the lines: Make sure the Data Governance Administrator works with the Data Steward to implement and maintain technical solutions in support of established practices, policies and procedures to ensure regulatory compliance.

Go deeper: Ensure you work with the business teams to establish processes, procedures and internal controls used for the detection and correction of data quality issues.

Under the hood: Advise on various projects and initiatives to ensure that any data privacy or security items are identified, communicated and managed to ensure adherence with the Enterprise Data Governance established standards.


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Be smart: Ensure you encourage your people to have constructive, open and honest communication; to make Catapult extraordinary; innovate and create smart solutions; establish a collaborative, yet challenging, environment to develop your performance and the performance of your (internal) customers.

What they’re saying: “Confirm that your group has involvement in building strategies for data governance and analytics, developing roadmaps and executing plans to support (internal) customers., Data Catalog Steward

The bottom line: Make sure the Strategy and Planning team works to establish, embed and continuously improve the long term integrated strategy of the External Affairs function, as well as associated programs of work.

What’s next: Make sure your design is working with the business, it and other architects, facilitates the creation and evaluation of data models, data governance data strategy through the review of requirements and use cases to recommend project level artifacts with strategic initiatives and with the standard methodologies for development.

ICYMI: Confirm that your team consults with other data governance colleagues to identify data tiers, definitions, and business rules in support of data tiering and data metering.

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