Librería Portfolio

Key Features

Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation
Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention
Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success
Description

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.
The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.
In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.
Readership

Application developers, Chief Data Officers, Data Managers, Data Analysts, Data Stewards, Business Intelligence and Data Warehousing Professionals, and Business Analysts



Author Biographies
Acknowledgments
Introduction
Chapter 1. Purpose, Scope and Audience
Spotting the Need for Data and Analytics Governance: Industry Examples
What This Book Is About and Why It Is Needed Now
Basic Concepts
The Playbook as an Organizing Process Model
What You Can Get From This Book
Summary
Chapter 2. Executive Call to Action-How Chief Data Officers and Business Sponsors Can Empower Results
Executive Call to Action-What Do We Need From You?
Scope and Focus Area Definition
Traditional Approach to (Data) Governance
Data Leadership Cycle-Framing Your Mandate
Data Leadership Roles-Leveraging More Than the CDO-The Power of Data Officers
Summing It Up
Chapter 3. Assessing Conditions, Controls and Capabilities
Assessment Methods
Assessing Data Controls: Audit and Balance Controls
Controls Reporting-ABC Control Levels
Capability Measurement
Data and Analytic Conditions Reporting-A Risk and Exposure Approach
Overall Reporting and Visualization
Summary
Chapter 4. Detailed Playbook Activities
Playbook Framework: Capability Orientation
Playbook Framework: Capabilities
Playbook Framework: Activities
Playbook Framework
Chapter 5. Aligning the Language of Business: The Business Glossary
Why Do We Need a Business Glossary?
What Is a Business Glossary?
The Glossary Is a Critical Deliverable of the Data Governance Team
Identifying Users of the Business Glossary
Creating the Business Glossary Structure
The Standards of a Business Glossary
Creating Business Terms Definitions and Term Names
Best Practices
Creating Glossary Taxonomies and Hierarchies (Ontology/Taxonomy)
Business Glossary for Big data Analytics
Chapter 6. The Business Data Governance Toolkit
Chapter Overview
Data Governance Technology Considerations
Method for Technology Selection Overview
Categories and Sections for DG Technology Selection
Process for Evaluation Scoring
What Happens After Scoring (We Are Done, Right?)
Technology Leaders to Consider Today
Chapter 7. Playbook Deployment
What Do We Mean by Deployment?
Mapping Your Deployment Priorities
The Overall Process of Deployment Planning
Deployment Patterns
Communicating Data Sprints
Data Risk and Exposure
Deployment Scoping and Planning
Conclusion
Chapter 8. Data Governance as an Operations Process
Operations
Planning and Acquiring the Budget
Iterations
Extending the Reach
Corporate Politics
Customizing and Maintaining the Playbook
Chapter 9. Governing Big Data and Analytics
Big Data
Personal Big Data
Governing Big Data in Large and Small Ways
Conclusion
Chapter 10. Rapid Playbook Deployment
A Sense of Urgency
Identify Your Highest Value Target Areas
Smart Scoping
Getting Help
Bibliography
Glossary of Terms
Index