Book 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.
- 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
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Author Biographies
- Acknowledgments
- Introduction
- Chapter 1. Purpose, Scope and Audience
- Chapter 2. Executive Call to Action—How Chief Data Officers and Business Sponsors Can Empower Results
- Chapter 3. Assessing Conditions, Controls and Capabilities
- Chapter 4. Detailed Playbook Activities
-
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 7. Playbook Deployment
- Chapter 8. Data Governance as an Operations Process
- Chapter 9. Governing Big Data and Analytics
- Chapter 10. Rapid Playbook Deployment
- Bibliography
- Glossary of Terms
- Index
Product information
- Title: The Data and Analytics Playbook
- Author(s):
- Release date: August 2016
- Publisher(s): Morgan Kaufmann
- ISBN: 9780128025475
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