Data Stewardship Core by Maria C Villar and Dave Wells All rights reserved. Reproduction in whole or part prohibited except by written permission. Product and company names mentioned herein may be trademarks of their respective companies.
Module 0. About the Course (7 min) Module 1. Data Stewardship Basics (52 min) What is a Data Steward What Does Stewardship Mean Why a Data Steward Types of Data Stewards o Type 1: Data Objects Steward o Type 2: Business Unit Data Steward o Type 3: Process Data Steward o Type 4: Project/System Data Steward Key Reporting Considerations Common examples of Data Stewards Not all Data Should be Managed Getting Started o Pick the Project o Pick the Team o Design Standards Forms and Documentation o Pick the Governance Forums o Choose the Metrics o Pick the Tools Attributes of a Data Steward o Profile of a Successful Steward o Personal Attributes o Knowledge Level o Experience Level Review Module 2. Roles and Responsibilities of Data Stewards (44 min) Overview Data Stewardship and Data Strategy o Planning o Data Roadmap o Data Principles & Policies o Adjusting to Business Priorities o Example Data Stewardship and Data Classification o Data Definition o Metadata Management Data Stewardship and Data Quality o Prioritizing Data Quality Metrics o Implementing a Data Quality Program Data Stewardship and Business Processes Data Stewardship and Data Acquisition Data Stewardship and Data Modeling Data Stewardship and IT Management Page 2
o New Data Projects o Consolidating the IT Infrastructure o Master Data o New Tool Selection Data Stewardship and Data Operations Data Stewardship and Change Management Data Stewardship and Data Governance Review 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 o Company Background o Reporting Structure and Key Stakeholders o Data Steward Team o Data Steward Projects o Data Steward Governance Forums o Challenges Case Study 2 o Company Background o Finance Business Unit Data Reporting o Reporting Structure and Key Stakeholders o Data Steward Team o Data Steward Projects o Data Governance Forums o Challenges Case Study Lessons What Does Great Data Management Look Like Module 4. Information Management Basics (58 min) Overview Types of Data Stores o Application Databases o Departmental End User Databases o Data Warehouse and Data Marts o Operational Data Store o Master Data Hub Types of Data and Information o Operational Data o Analytic Data o Event Data and Reference Data o Master Data and Transactional Data o Structured and Unstructured Data Common Uses of Data o Record Keeping and Audit Trail o Reporting and Information Page 3
o Measurement and Monitoring o Decision Making o Business Analysis o Discovery and Prediction Business Data Flow o Business Value of Data o Data Uses o Data Sources o Data Acquisition o Data Providers and Consumers o Data Flow Through Organizations Data Flow at the Functional Staff Level Data Flow at the Tactical Staff Level Vertical Data Movement o Data Flow Through Systems o Data Flow Example o Architectural Views of The Data Flow o Data Flow Analysis Data Management Processes o Architectural Processes Subject Area Modeling Conceptual Data Modeling Enterprise Modeling Data Consolidation: Entity Mapping Data Consolidation: Data Store Mapping Data Consolidation: Data Element Mapping Data Flow: Business Architecture View Data Flow: Systems Architecture View Data Flow: Data Warehouse Architecture View o Utilization Processes Business CRUD Matrix Systems CRUD Matrix Business Process Management o Custodial Processes Database Administration Security Administration Business Continuity Module 5. Information Management Overview (72 min) Overview Information Management Defined o Information o Management o Information + Management o Information Management The Scope of Information Management o IM Dimensions o IM Disciplines o Related Disciplines o Grouping Related Disciplines o At Stack View of IM Page 4
Understanding the Data o Views of the Data o Projects Flow o Describing the Meaning of the Data o Describing the Data Constraints o Describing the Data Relationships o Describing the Data Information Supply and Demand o Managing Information Supply and Demand o The Goal o Desired Outcomes o Data Resource Perspectives o Content Management o Enterprise Information Management Data Utility o Introduction to Data Utility o Ensuring Data Utility o Roles of Data Quality and Data Governance Data Resource Consolidation o The Data Resource o Disparate Data o Connecting the Disparate Data o Data Integration o Data Warehousing o Data Warehouse o Master Data o Master Data Management Applied Information o Data Vs. Information o Information and Systems o Using Information o Business Intelligence o BI Purpose o Business Analytics o Business Performance Management Discovery and Inference o Learning the Unknown o From Data to Knowledge o Data Mining and Predictive Analytics o Data Mining and Prediction Purpose Module 6. Data Quality and Data Governance Basics (50 min) Data Quality o Quality Defined o Data Quality Defined o Data Characteristics o Data Quality Dependencies o Purposes of DQM Data Quality Processes Data Quality and People Data Quality Projects Page 5
Data Quality and IS Projects Data Quality Technology Review Data Governance o Data Governance Defined o Data Governance Dependencies o Data Governance Purpose o Data Governance Processes o Data Governance and People o Data Governance and Management o Data Governance and Technology o Review Review Page 6