DS0: Data Stewardship – A Complete Guide Learning Plan
The Data Stewardship Learning Plan is a complete guide to Data Stewardship and the role the data steward plays in a Data Governance organization. In this eight-course program, instructor David Plotkin introduces the roles and responsibilities of the data steward, training initiatives, and the implementation processes, along with an overview of Data Governance tools, important enterprise initiatives, metrics, and the Stewardship Maturity Model. If all eight courses are completed, a certificate of completion will be issued.
Learning Plan Price: $899
Individual Course Price: $129
Learning Plan CEUs: 9.0 hours
Each Course Includes:
- A 45- to 106-minute educational training video
- A 16- to 24-question exam
- Materials made available for download once the exam has been completed
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the Data Stewardship Learning Plan:
- Introduction to Data Governance and Data Stewardship
- Roles and Responsibilities of Your Data Stewardship Organization
- Implementing Your Data Stewardship Organization and Training the Stewards
- Adding Data Governance to the Project Methodology
- The Tools of Data Governance
- Practical Data Stewardship
- The Roles of Data Stewards in Important Enterprise Initiatives
- Data Stewardship Metrics and Maturity
We offer several bulk licensing options for corporate and group use.
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Data Stewardship: A Complete Guide Learning Plan
DS1: Introduction to Data Governance and Data Stewardship
- Current Data Challenges that Drive Need for Data Stewardship and Data Governance
- Data Warehouses
- MDM
- Data Quality
- Other Challenges
- Understanding Data Governance: Definitions and Overview
- Practical Data Governance: Metadata, Data Quality, Policies, and Procedures
- Data Governance Framework
- Where Data Stewardship Fits into Data Governance Program
- Goals of Data Stewardship
- What is Governed Data?
- Data Stewardship: Business Term Cycle
- Types of Data Stewards
- Business, Technical, Project, and Operational
- Benefits and Characteristics of a Successful Business Data Steward
- How Data Stewards Work Together
- The Importance of Data Stewardship
DS2: Roles and Responsibilities of Your Data Stewardship Organization
- The Overall Data Governance Organization
- Where Does Data Stewardship Fit?
- Data Governance Structure
- Executive Steering Committee
- DG Board
- Data Stewards
- Fitting Data Stewardship into the Data Governance Organization
- Data Stewardship Council
- Data Governance Program Office
- IT Support
- The Data Governance Operating Model
DS3: Implementing Your Data Stewardship Organization and Training the Stewards
- Championing and Communicating Data Stewardship
- Gaining Support
- Developing Relationships
- Understanding the Organization
- Samples of Organizational Structures
- Business Functions
- Data Governance Organization
- Data Stewardship Council
- Assignment Responsiblities
- Figuring Out What You’ve Got
- Information Chain
- Applications
- Metadata
- Data Quality
- Processes
- Tools
- Training Opportunities
- Basic Principles of Data Stewardship
- Metadata and Data Usage
- Stewardship Processes
- Tool Usage
- Data Quality Improvement
- Using SIPOC
DS4: Adding Data Governance to the Project Methodology
- Why Add Data Governance to Project Methodology?
- Data Stewardship SDLC Tasks
- Define Metadata
- DG Process Integration
- Working with the Project Manager
- Data Governance Value to the Project
- Project Data Stewards and the Hybrid Data Stewardship model
- Data Stewards Duties
- Project Evaluation
- Metadata and Conceptual Diagrams
- Sample Conceptual Model
- Solution Evaluation and Quality Assurance
DS5: The Tools of Data Governance
- Tools for Data Stewardship and Data Governance
- Data Governance Website
- Data Governance Wiki
- Business Glossary
- Business Definitions
- Search and Compare
- Context
- Hierarchy
- Workflow
- Issue Log
- Resolving Issues
- Fields
- Processes
- Communications Plan
- Sample Plan
- Data Governance Roadmap
- Sample Roadmap
- Onboarding
DS6: Practical Data Stewardship
- Choosing Key Business Data Elements (KBEs)
- Practical Stewardship
- Assigning Roles
- Crossing Organizational Lines
- Terms and Definitions
- ISO Standards
- Sample Definitions
- Good Quality Derivations
- Creating Repeatable Processes
- Processes for Business Glossary
- DG Approval Process
- Workflow
- Sample Metadata Process
- Managing the Issue Log
- Logistics: Working Groups and Stewardship Collaboration
- Managing Meetings
- Working Groups
- Documentation and Communications
DS7: The Roles of Data Stewards in Important Enterprise Initiatives
- Improving Data Quality
- Data Stewardship Helps DQ
- Making the Business Case
- Support
- Roles in DQ
- Rules Criteria
- Business Statements
- Cross-Table Validation Rules
- DQ Dimensions
- Data Profiling
- Workflow
- Reconciliation Process
- Error Handling
- Reference Data Setup
- Sample Data Model
- Data Mapping Cases
- Workflow
- Data Stewards and Identity Resolution
- Workflow
- Attributes
- Understanding Metadata
- Standardization
- Role of Data Stewardship in Survivorship
- Examples
- Responsibilities
- Exception Handling
- Information Security
- 5 Steps
- Workflow
- Data Packages
- User Access
DS8: Data Stewardship Metrics and Maturity
- Categories of Metrics
- Business Value
- Example
- Operational
- Work Progress Reporting
- Critical Success Factors for Metrics
- Measuring Progress
- What is Stewardship Maturity?
- Different Maturity Levels
- Initial
- Tactical
- Well-Defined
- Strategic
- Optimized
- Understanding Maturity Levels
- Organizational Awareness
- Roles and Structures
- Standards and Disciplines
- Value Creation
- Data Stewardship Maturity Grid
- Different Maturity Levels
- Business Value
Milestone
Complete All Eight Data Stewardship Courses
1. DS1: Introduction to Data Governance and Data Stewardship
required
Course
Where does Data Stewardship fit into overall Data Governance? Realistically, it is where the real work gets done – the operational aspect of the overall Data Governance program. Data Governance without Data Stewardship is essentially a batch of policies that cannot be implemented because a critical piece is missing: Data Stewardship. Data stewards perform the day-to-day work of administering the enterprise’s data. It is the stewards who are accountable for this work, and Data Stewardship essentially formalizes and “makes official” this accountability. The course introduces Data Stewardship, Data Governance, the roles of data stewards, and a wide range of other elements necessary for successful Data Stewardship.
View Details2. DS2: Roles and Responsibilities of Your Data Stewardship Organization
required
Course
The Data Governance and Stewardship organization, like any other organization, has a structure that the various levels fit into. These levels include the Executive Steering Committee, the Data Governance Board, and the Data Stewardship Council. This course examines the various levels, roles, responsibilities, and how to build a solid operating model for an organization’s Data Stewardship program.
View Details3. DS3: Implementing Your Data Stewardship Organization and Training the Stewards
required
Course
There are four key components to successfully being the champion of Data Stewardship – and thus driving the implementation: Understand what it takes to implement Data Stewardship, be able to communicate what it takes to implement Data Stewardship, support from above and below, and develop relationships and a support structure. This course examines each of those components in detail and how to properly implement them in an organization.
View Details4. DS4: Adding Data Governance and Stewardship to the Project Methodology
required
Course
“SDLC” is the software development lifecycle. This is the methodology that projects follow to go from requirements to a functioning system. Typically, the SDLC is broken into various stages. The first step in bringing Data Stewardship into the SDLC is to figure out what the tasks are, and in which stage of the project that task should be started. This course discusses the many components necessary to include Data Governance and Data Stewardship into project methodology and the SDLC, how to do it, who to work with, the evaluation process, and much more.
View Details5. DS5: The Tools of Data Governance and Stewardship
required
Course
One of the biggest mistakes you can make is starting off your Data Stewardship effort by focusing exclusively on the tools you’ll use. But that doesn’t mean you don’t need tools or that having the right tools won’t make your efforts better and more efficient. This course examines many types of tools that can be purchased or adapted from commercially available tools, including integrating such tools with existing systems.
View Details6. DS6: Practical Data Stewardship
required
Course
If done properly, Data Stewardship achieves its goals, providing job satisfaction and a sense of adding value to the participants. They work together as a team, see the results of their efforts and end up doing less – but more effective – work. If not done properly, Data Stewardship can overwhelm the stewards, leading to frustration and “pushback” from them. The key is to focus on just the practical and fundamental aspects of Data Stewardship. This course discusses how to successfully practice Data Stewardship, along with deeper discussion of key business data elements, managing metadata, sets of repeatable process, and more.
View Details7. DS7: The Roles of Data Stewards in Important Enterprise Initiatives
required
Course
Data stewards play an extremely important role in many of the enterprise processes and initiatives that work with the data. These roles include inspecting and improving Data Quality, managing reference data, establishing the identification of master data records, establishing survivorship rules for MDM, handling exceptions that come out of the MDM engine, specifying sensitivity for false positives and negatives in MDM, and specifying how data elements should be classified for security and privacy purposes. This course looks at these data steward roles and many others necessary for successful Data Stewardship.
View Details8. DS8: Data Stewardship Metrics and Maturity
required
Course
A Data Stewardship program requires resources and effort be expended to improve how the enterprise understands and manages its data. It should come as no surprise, therefore, that you are likely to be called on to measure and report the progress you have made – the return on the investment that has been made in Data Stewardship. The metrics you can record and report can be divided broadly into two categories: Business Results Metrics and Operational Metrics. This course examines those metrics, proper implementation, evaluation, and other important aspects such as Data Stewardship maturity, models, and matrices.
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