“You too can become a billionaire if you become a student of error”
In this presentation, delivered by Thomas Davenport at the eMetrics Marketing Optimization Summit San Francisco 2011, we learn ways to manage analytics at an enterprise and how we can relate to decision-making in this environment.
Tom Davenport starts by discussing the different type of people involved in this process: Web Analysts, Business Intelligence, Conversion Optimizers, HR Analysts, and others. He also provides examples on which companies and professions are embracing analytics.
Following, we learn about a research he made where company executives were interviewed on how they make decisions and how they improve decision-making on their companies. From the techniques described, the ones that seem to stand out are the use Analytics for planning and learning from error.
Watch Successful Business Analytics Part II
Watch an interview with Tom Davenport
Thomas Davenport holds the President’s Chair in Information Technology and Management at Babson College and is responsible for the overall management of the Institute for Process Management. He is the author of two best selling books: Competing on Analytics: The New Science of Winning and Analytics at Work: Smarter Decisions, Better Results. Davenport is an Accenture Fellow, and in 2003, was the Academic Director of the Information Work Productivity Council, a research consortium of seven technology firms.
Voted the third leading business-strategy analyst (just behind Peter Drucker and Tom Friedman) in Optimize Magazine, Davenport is a world-renowned thought-leader who has helped hundreds of companies revitalize their management practices. He combines his interests in business, research, and academia having earned a PhD from Harvard University in social science and has taught at the Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin. He has also directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC.