Business Data Steward Course
How-to Steward Data
Course Duration: 4 Days
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This course is for all Business Subject Matter Experts and Data Executives
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Our Business Data Steward Course offers a comprehensive curriculum focused on establishing strong Data Governance practices. Participants will learn how to evaluate the business impact of data stewardship initiatives, implement critical data management artefacts, develop accountability frameworks for data roles, and design effective data stewardship plans. By the end of the course, attendees will have the knowledge and tools to ensure that enterprise data is managed as a valuable business asset, aligning with organisational goals and regulatory requirements.
Business Subject Matter Experts and Executives seeking to enhance data quality, compliance, and value in their organisations should attend.
Course Outline
Module 1: Introduction to Business Data Steward Course
What is Data Stewardship? Why it matters
Business Impact Analysis
Data Governance vs Data Management
Data Stewardship Roles & Responsibilities
Module 2: Business Impact of Data Stewardship
Business Compliance & Risk Mitigation
Financial & Operational Impact
Enhancing Data Literacy & Culture
Business Impact Assessment Playbook
Case Studies & Group Discussions
Module 3: Identifying & Managing Data Management Artefacts
Critical Artefact Identification, Purpose & Use
Data Interrogation Techniques
Artefact Playbook & Metadata Mapping
Deliverables: Business Glossary, Data Catalogue, Conceptual Data Model
Module 4: RACI Matrix Development
Understanding RACI Components
Building RACI for Data Artefacts
Role Definitions: Owner, Steward, Custodian
RACI Scorecard & Review
Stakeholder Engagement Strategies
Module 5: Data Stewardship Implementation Planning
Implementation Framework: Data, Roles, Process, Communication, Metrics, Tools
Use-Case Identification & Prioritisation
Root Cause Analysis & MVP Definition
Gantt Chart Planning & Monitoring
Continual Improvement & Feedback Loops
Module 6: Data Quality Stewardship
Data Quality Dimensions & Concepts
Business Rules & Validation Techniques
Data Profiling & Assessment
7 Basic Quality Tools
Power BI for Data Quality Monitoring
Module 7: Reference & Master Data Stewardship
Characteristics & Importance
Golden Records, Values, Profiles
Survivorship & Trust Rules
RMD RACI & Governance
Implementation Styles: Operational vs Analytical MDM
Module 8: Stewardship Questions & Artefact Mapping
Categories of Questions “About” Data
Mapping Questions to Deliverables
Metadata, Structure, Governance, Reporting
Question Bank & Evaluation Framework
Module 9: Collaboration & Operating Models
Business vs Technical Stewards
Operating Model Hierarchy
Reporting Structures & Governance Councils
Collaboration with IT & Data Architects
Module 10: AI & Data Stewardship
AI-Readiness of Data
Data Cascades & Governance
Ethics, Privacy, and Compliance
Data Stewardship in AI Projects
Module 11: Executive Engagement & Activation
Why Stewardship Programs Fail
Role of Data Executives
Data Issue Log & Business Impact
Executive Activation Playbook
KPI Mapping & Value Chain Alignment
Module 12: Course Review & Capstone
Recap of Key Concepts
Capstone Project: Departmental Data Stewardship Plan
Knowledge Assessment
Feedback & Next Steps
Key Benefits of attending the Business Data Steward course
Strategic Compliance: Gain expertise in aligning data practices with business objectives and regulatory standards, minimising risk and ensuring compliance.
Improved Decision Quality: Learn to evaluate the impact of data quality on decision-making and operational efficiency. Clear Accountability: Establish well-defined roles and responsibilities for data stewardship to improve collaboration between business and IT teams.
Culture of Data Excellence: Develop skills to promote data literacy and governance culture within your organisation for sustained data quality improvements.
Who should attend?
Empower your team to govern and leverage data effectively. This professional course is designed for Business Subject Matter Experts and Executives seeking to enhance data quality, compliance, and value in their organisations. It provides a structured approach to data stewardship with clearly defined objectives and measurable outcomes.
