Clark Schaefer
Data Governance

Data Governance

In today's data-driven world, countless organizations find themselves overwhelmed by the sheer volume of data at their fingertips. Making sense of this data can not only be challenge when you’re trying to ensure security and compliance and optimizing operational efficiency, but also focused on harnessing its potential to make informed decisions. That's where our data governance expertise comes into play, serving as a guiding light through the complex landscape of data management. 

Our comprehensive data governance solutions are designed to assist organizations at any stage of their data governance journey. Whether you're just starting out or seeking to advance your program to a higher level of maturity, the team at Clark Schaefer Consulting offers a range of tailored solutions related to data governance program development, implementation, and improvement. We help clients establish a data governance framework, including the following: 

  • Establishing Program Vision, Goals, and Objectives: Establishing a common vision for data governance ensures that long-term goals and direction are understood across the enterprise rather than only at the business unit level. 

  • Forming Data Governance Committees: To develop and maintain an effective data governance program, committees should be established to clearly define roles and responsibilities related to each component of the program. 

  • Developing Data Governance Policies and Procedures: Data governance policies and procedures should manage the creation, acquisition, integrity, security, compliance, and quality of data. 

  • Identifying Key Data: Key or critical data should be identified for each business unit to guide and prioritize data governance implementation activities.  

  • Developing Data Flow Diagrams: Once key data has been identified, mapping out the flow of that data helps provide clarity on where the data resides and how it moves through the systems environment. Data flow diagrams also help identify opportunities to clean and manage the data, as well as help determine the level of security required. 

  • Creating a Business Data Glossary: A business data glossary should be established to outline business terms, their definitions, who owns the associated data, and how the data should be used and when. 

  • Developing a Roadmap for Implementation: Once a framework is in place, we provide recommendations for the next steps in operationalizing the data governance program. The resulting roadmap provides the organization with direction for implementing data governance initiatives based on priority. 

Documentation & Governance

Documentation & Governance

Develop Accountability, Efficiency, and Compliance with Sound Documentation and Governance

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