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Data Stewards are important leaders in a company's information management program. As companies tackle data governance initiatives brought on by regulatory demands and the business need for higher confidence and transparency of data, the role of Data Steward becomes increasingly important. Data Stewards are accountable for the data strategy, definition, requirements, and quality of the data. To be effective in their duties, Data Stewards must understand how the data is created, stored, manipulated, moved about, and used. And, while data stewards usually do not personally run data governance, data quality, or metadata management programs, they must possess knowledge in all these, and many other information management disciplines.
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The objective of this online training course is to build a foundation of knowledge for the Data Stewards. It covers fundamentals of data stewardship: who are the data stewards, what they do, what are their responsibilities, and what are the key principles and practices of data stewardship. It also provides foundational knowledge of information management.
You will learn:
- Why data stewards are important
- Different types of data stewards
- Roles and responsibilities of data stewards
- Best practices of data stewardship
- Types of data, databases, and data stores
- Common uses of data and business data flow
- Types of data management processes
- The "what, why, and who" for each of the 14 IM disciplines
- Relationships, roles, goals, competencies, and knowledge for data stewardship success
This course is geared towards:
- Data stewards
- Data governance professionals and practitioners
- Business or IT professionals who want to become data stewards
- Business or IT counterparts working with data stewards
- Information management professionals who want to learn about data stewardship
Module 0. About the Course (9 min)
Module 1. Data Stewardship Basics (51 min)
- What is a Data Steward
- What “Does Stewardship” Mean
- Why a Data Steward
- Types of Data Stewards
- Key Reporting Considerations
- Common examples of Data Stewards
- Not all Data Should be Managed
- Getting Started
- Attributes of a Data Steward
- Review
Module 2. Roles and Responsibilities of Data Stewards (44 min)
- Overview
- Data Stewardship and Data Strategy
- Stewardship and Data Classification
- Stewardship and Data Quality
- Stewardship and Business Processes
- Stewardship and Data Acquisition
- Stewardship and Data Modeling
- Stewardship and IT Management
- Stewardship and Data Operations
- Stewardship and Change Management
- Stewardship and Data Governance
Module 3. Data Stewardship Tips & Techniques (46 min)
- Create a Data Culture
- 10 Keys to Being A Successful Data Steward
- De-railers to Data Stewardship
- Case Study
- Case Study 2
- Case Study Lessons
- What Does Great Data Management Look Like
Module 4. Information Management Basics (84 min)
- Overview
- Types of Data Stores
- Types of Data and Information
- Types of Databases
- Common Uses of Data
- Business Data Flow
- Data Management Processes
- Utilization Processes
- Custodial Processes
- Data Lifecycle Processes
Module 5. Information Management Overview (72 min)
- Overview
- Information Management Defined
- The Scope of Information Management
- IM Dimensions
- Understanding the Data
- Information Supply and Demand
- Data Utility
- Data Resource Consolidation
- Applied Information
- Discovery and Inference
Module 6. The Data Stewardship Landscape (10 min)
- Overview
- Data Steward Relationships
- Data Steward Roles
- Data Steward Goals
- Data Steward Competencies
- Data Steward Knowledge
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Click here to download a more detailed outline of this course.
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This exam tests knowledge and understanding of core concepts, principles, and terminology of data stewardship.
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You will be tested in these areas:
- Basic concepts, principles, and practices of data stewardship
- Types of data stewards
- Characteristics of data stewards
- Data stewardship organizations
- Roles and responsibilities of data stewards
- Data management processes
- Types of data and data stores
- Common uses of data and business data flow
- Basic understanding of information management disciplines
- Foundations of data quality and data governance
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Additional Information
Number of Questions: 25
Time Limit: 50 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. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about exams.
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Course Review 
Course Review 
Course Review