671 words, 2.5 minutes read. By Gerard Blokdyk

Data Governance 1 big thing: Partner with the business units to develop effective solutions that solve business challenges.

The big picture: Interface so that your organization ensures that data custody, transport and storage is in sync across your organization and with data governance policies and meeting the same enterprise level goals.

Why it matters: Develop experience creating data governance process and procedures across multiple business units with modern environments, Big Data and traditional DW environments supporting Data Governance and master data management principles and techniques.

On the flip side: Participate in executive level committees to address privacy, data ethics, data strategy, risk management, data governance and information management issues that may impact the enterprise.

What they’re saying: “Certify your operation develops talent in the risk governance and regulatory strategy department to deliver performance and results including the identification, development and retention of talent with requisite risk and regulatory capabilities as well as providing leadership and overseeing performance management and staff development activities., Controller

State of play: Develop and operate an effective governance model with the right balance of structure, standardization, speed, agility, and business/brand requirements to build a foundation for developing mature MDM teams and long-term organizational capabilities.

Yes, but: Lead the development, publishing and maintenance of your organizations information architecture, as well as a roadmap for its future development, ensuring that it matches and supports business needs.

Go deeper: Assure your design supports compliance and manages the process of identifying risks related to the collection, storage, protection, access, use, and destruction of personally identifiable or sensitive information.

Under the hood: Make headway so that your team defines the roles and responsibilities related to data governance and ensures clear accountability for stewardship of your organizations principal information assets.


 


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The backdrop: Guarantee your workforce is working with the Data Governance Lead incorporate MDM concepts and operations into the overall Data Governance and Data Quality governance process.

Meanwhile: Develop knowledge of end-to-end go to market and delivery of service offerings in Enterprise Data and Analytics functions, Data Strategy development, Data monetization, target operating model, and data governance offerings.

Between the lines: Ensure your management and support staff operationalize your investment capabilities by bringing a wide range of expertise to your investment professionals in the areas of compliance, finance, human resources, business development, legal and operations.

The bottom line: Be certain that your group is working with business stakeholders, data visualization and reporting specializations and/or data scientists to determine analytics data consumption mechanisms.

What’s next: Certify your group deploys a master data governance framework, with a focus on improving data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools, and data architecture.

ICYMI: Enhance and influence the integration of data processes, designs and governance across the functions pillars and partnering with the data function to align on data management and governance best practices and collaborate with enterprise and data architects on architecture best practices.


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