Business Intelligence Strategy and Big Data Analytics

Klappentext 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.

Autorentext
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.

Zusammenfassung

"Most executives are familiar with big data, business intelligence (BI), analytics, business performance management, business process management, and fact-based decision-making, but they are uncertain about how to best deploy them to create business value. In this book you will find both content and features that will help you plan and execute BI strategically.

Worthy of special mention is the treatment of big data and analytics. The hype around both topics is especially high, and it is easy to think that they are so new and different that they need to be treated in special ways. This book provides a clear understanding of the ways that big data and analytics both differ from the past but also the many ways that they are just a logical extension of what has come before. When viewed in this context, the strategic planning for BI and analytics in the world of big data is very similar to planning for BI in general.

If you need to think about BI (and all the related topics) strategically in your company, I'm confident that you will find this book to be very helpful." --Hugh Watson, Professor and C. Herman and Mary Virginia Terry Chair of Business Administration, Terry College of Business, University of Georgia and Senior Editor, Business Intelligence Journal

Inhalt

1. The Personal Face of Business Intelligence 2. Business Intelligence in the Era of Big Data and Cognitive Business 3. The Strategic Importance of Business Intelligence 4. BI Opportunity Analysis 5. Prioritizing BI Opportunities (BIOs) 6. Leveraging BI for Performance Management, Process Improvement, and Decision Support 7. Meeting the Challenges of Enterprise BI 8. General Management Perspectives on Technical Topics