Publications

The staff at Global Data Strategy has written numerous publications. The following are some recent  highlights.

Articles

The Importance of Business Process in Data Management, TDAN Featured Column, “The Business of Data”, by Donna Burbank, Nov 2016

Brexit and the Role of the CIO: a Data Management and Governance Perspective , EM360 Magazine featured article, Oct 2016, by Nigel Turner and Donna Burbank

Metadata is Marketing, TDAN Featured Column, “The Business of Data”, by Donna Burbank, July 2016

Focus on the Data That is Important to the Business, TDAN Featured Column, “The Business of Data”, by Donna Burbank, May 2016

A Conceptual Data Model is Physical, DATAVERSITY, February 2016

Data Driven Business Transformation: What It Means for Today’s Data Management Professional , TDAN Featured Column, “The Business of Data”, by Donna Burbank, February 2016

A Data Model Describes a Business, DATAVERSITY, by Donna Burbank November, 2015

Make Your Data Management Project a Peacock, TDAN Featured Column, “The Business of Data”, by Donna Burbank, November 2015

Data Governance Has an Image Problem, TDAN Featured Column, “The Business of Data”, by Donna Burbank, August 2015

Selling Data Governance in Your Organisation, IRM Connects, by Donna Burbank, Aug 2015

Books

Data Modeling foData Modeling for the Businessr the Business

by Steve Hoberman, Donna Burbank, and Chris Bradley

Data models are critical to most data-centric business initiatives, but too often data modelers focus primarily on the technical database implementations, neglecting key business rules and drivers. This book describes the importance of data modeling to the business, how to build a business-centric data model, and how to align data modeling with key initiatives such as MDM, business intelligence, and more.

 
 .

Data Modeling Made Simple with CA ERwin

Data Modeling Made Simple with CA ERwin

by Donna Burbank and Steve Hoberman

Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with CA ERwin Data Modeler. You’ll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler. This book combines real-world experience and best practices with down to earth advice, humor, and even cartoons