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Data governance is an emerging, cross-functional management program that treats data as an enterprise asset. It includes the collection of policies, standards, processes, people, and technology essential to managing critical data to a set of goals. Data governance also includes the oversight necessary to ensure compliance and to manage risk. A data governance program can be tailored to match an organization's culture, information maturity, priorities, and sponsorship.
This online training course provides and overview of the disciplines of governing data, covers the essential components of an enterprise-wide program, and outlines a roadmap to execute a successful data governance program. In addition to the extensive overview, the course makes data governance real and tangible by illustrating the concepts, principles, and practices using a case study of Data Governance in a Customer Intelligence initiative. The course also examines the changes in data governance that are needed to adapt to developments such as agile development, big data, and self-service analytics.
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You will learn:
- What data should be governed
- Why data governance is important
- Basic concepts, principles, and practices of a data governance program
- Where and how to start a data governance program
- People and tools that enable a data governance program
- Techniques to measure success of a data governance program
- Governance of big data and cloud applications
- Tips and techniques to modernize established data governance programs
This course is geared towards:
- Individuals who implement a data governance program
- Individuals who participate in a data governance program
- Business data stewards
- Information professionals who want to learn about this emerging area
DG-01 Data Governance Fundamentals
Module 0. About the Course (7 min)
Module 1. Introduction to Data Governance (33 min)
- Data Governance 101
- Why Govern Data?
- What Data Should Be Governed?
- Business Drivers for Data Governance
Module 2. Implementation Fundamentals (78 min)
- Selecting Data and Setting Goals
- Standards, Policies,Processes, People, and Technology
- Managing and Measuring Data Governance
Module 3. Case Study (63 min)
Module 4. Data Governance of Emerging Solutions (65 min)
- Big Data
- Cloud Applications
Module 5. Modernizing Data Governance (53 min)
- Overview
- The Data Quake: From Stable to Volatile
- New Data Governance Challenges
- Curating and Cataloging Data
- Rethinking Data Governance Practices
- Technologies and Modern Data Governance
- Module Summary
Click –here- to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology in data governance.
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You will be tested in these areas:
- Basic concepts, principles, and practices of data governance
- What data and what aspects of data should be governed
- Business drivers of data governance
- Where and how to start a data governance program
- Goals of data governance
- Data governance policies and standards
- Data governance and company processes
- People and technology that enable a data governance program
- Techniques to measure success of a data governance program
- Specifics of data governance for emerging solutions
- New challenges driving data governance modernization
- Data curation and cataloging
- Modern data governance practices
- Technology enablers for data governance
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Additional Information
Number of Questions: 23
Time Limit: 46 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education documenting that you have demonstrated mastery of the topic. Further, the exam counts towards
Certified Information Management Professional (CIMP) designation in Information Management Foundations, Data Governance, Data Quality, and Master Data Management tracks.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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Course Review 
Course Review