The Profit Impact of Business Intelligence
- Steve Williams
- Nancy Williams
Business Intelligence (BI): Itâs not just a technology. Itâs not just a methodology. Itâs a powerful new management approach that â when done right â 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 The Profit Impact of Business Intelligence. Written by BI gurus Steve Williams and Nancy Williams, The Profit Impact of Business Intelligence shows step by step how you can achieve the promise of BI by connecting it to your organizationâs strategic goals, culture, and strengths while correcting your BI weaknesses.Features:* 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.* Identifies the most common mistakes organizations make in implementing BI.* Includes a helpful glossary of BI terms.* Includes a BI readiness assessment for your organization.* Includes Web links and extensive references for more information.Steve Williams, President and founder of DecisionPath Consulting, is a leading advocate of business-driven BI design and development. His consulting firm is one of the largest in the specialized field of Business Intelligence and Data Warehousing. Steve has over 23 years experience in information systems and systems engineering and has co-authored a training course on the BI Pathway Method. 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.
BI is the key benefit of strategic use of a company's data warehouse. As such, some of the same people that work in data warehouse and data mining are the audience for this book. So, the book's target audience includes both technical and non-technical professionals and decision makers in organizations that are considering business intelligence or who are intent on improving their existing business intelligence capability. This includes IT management, IT data architects, data warehouse professionals, database designers, business intelligence consultants, and technical professionals. We expect that there will be some handoff of book information to non-technical management as an argument for investing in BI.