The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse.
BI is not just a technology or methodology, it is a powerful new management approach that - when done right - can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver.
The missing element was the business-centric focus explained in this book. It shows how you can achieve the promise of BI by connecting it to your organization's strategic goals, culture, and strengths while correcting your BI weaknesses. It provides a practical, process-oriented guide to achieve the full promise of BI; shows how world-class companies used BI to become leaders in their industries; helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments; and identifies the most common mistakes organizations make in implementing BI.
The book also includes a helpful glossary of BI terms; a BI readiness assessment for your organization; and Web links and extensive references for more information.
- A practical, process-oriented book that will help organizations realize the promise of BI
- Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, "in the trenches" experience in government and corporate business intelligence applications
- Will help senior business and IT executives understand the strategic impact of BI and how they can help ensure a strong payoff on BI investments
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Chapter 1: The business value of business intelligence
Chapter 2: Identifying and prioritizing business intelligence -driven opportunities for your organization
Chapter 3: Business intelligence readiness
Chapter 4: Business-centric business intelligence development with the BI pathway method
Chapter 5: Leading and managing a business intelligence-driven profit improvement program
Chapter 6: Business intelligence in the broader information technology context
Chapter 7: Important ways business intelligence can drive profit improvement
Chapter 8: Common mistakes companies make on business intelligence initiatives
Chapter 9: A view over the horizon
A business intelligence glossary
A business intelligence
About the Authors
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:
. 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
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.
Nancy Williams is Vice President of DecisionPath Consulting. With over 21 years of business and technical experience, she provides technical and strategic leadership on business intelligence as well as hands-on guidance for client engagements.