Business Intelligence Strategy and Big Data Analytics: A General Management Perspective - Softcover

Williams, Steve

Softcover

ISBN 10: 0128091983 ISBN 13: 9780128091982

Publisher: Morgan Kaufmann, 2016

Synopsis

Business Intelligence Strategy in the Big Data Analytics: A General Management Perspective explains how to deliver competitive advantages and substantial economic benefits by overcoming commonly-encountered barriers to success. It includes lessons learned from leading companies that provide practical ideas for how to use the many different forms of BI to meet key business objectives. Further, it clarifies how BI initiatives are really business initiatives that require business units to change how they use information and analysis to drive and improve business results, particularly profits. Business intelligence (BI) and business analytics are like a Swiss army knife-they can be used in many different ways to achieve many different business purposes. In working with leading companies in a wide range of industries to help them formulate and execute BI strategies and program plans, the author has seen firsthand that these successful companies struggle in two key areas: BI Strategy, which is understanding how they can leverage BI in core business functions such as marketing, sales, customer service, operations, distribution, supplier management, cost improvement, and financial management; and BI Program Execution, which is effectively aligning and executing the diverse workstreams that are critical for achieving a return on investment (ROI), including change management, business process and BI integration, and BI and data warehousing development.

About this title

About the Author

Steve Williams is the founder and CEO of DecisionPath Consulting. He specializes in helping clients formulate business-driven, technically-savvy strategies for leveraging business intelligence, analytics, and big data to improve profits. Steve blends general management experience and a general management MBA with nearly 30 years’ experience in the information systems field - the last fifteen of which have been spent in the business intelligence (BI) and analytics specialty.

As a BI strategy consultant, Steve has had the privilege of working with successful companies in retail, distribution, manufacturing, consumer packaged goods, government, and electric power. His clients have included:

• ArcBest

• Heinens Fine Foods

• Louisville Gas and Electric

• Navy Federal Credit Union

• Northwestern Mutual Life

• Partners Federal Credit Union

• Pinnacle Foods Group

• Principal Financial Group

• Toronto Hydro Electric System

• United Natural Foods

• U.S. Social Security Administration

• Watsco

While the industries and companies are different, there are many common challenges when it comes to leveraging BI, analytics, and big data to enhance profitability. Steve understands these challenges, and he provides proven methods for meeting them.

In addition to his consulting work, Steve is also an active contributor to the field of business intelligence, analytics, and big data. He and Nancy Williams wrote The Profit Impact of Business Intelligence in 2006, and Steve has continued to write for magazines such as Strategic Finance, Business Intelligence Journal, and MWorld (The Journal of the American Management Association). In addition to widely-sharing his thinking about BI, analytics, and big data, Steve has also served as a judge since 2001 for the annual TDWI Best Practices in Business Intelligence and Data Warehousing Competition.

Prior to founding DecisionPath, Steve worked for twenty years in several specialized consulting companies where he developed expertise in program management, systems integration, software engineering, and management accounting. He holds an MBA in General Management from the Darden School at the University of Virginia and a B.S. in Business Management from the University of Maryland.

Edition details

• Publisher: Morgan Kaufmann
• Publication date: 2016
• Language: English
• ISBN 10: 0128091983
• ISBN 13: 9780128091982
• Binding: Paperback
• Number of pages: 240