Data Stewardship Core by Maria C Villar and Dave Wells

Transcription

1 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.

2 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

3 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

4 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

5 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

6 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