It’s common knowledge that the digital universe is growing at an exponential rate with more data being collected–every second, every day, every week. The vernacular about “terabytes of data” has been replaced with hype about petabytes, exabytes, zettabytes, and whatever comes next. But what’s the real significance of all of this data? 
For business leaders and managers, data is useful to the extent that it creates knowledge and insights that enable better decision making. So, analytics activities should be driven by the business needs, objectives, and strategies that really make a difference to your organization. 
In this recorded webinar presentation, renowned analytics expert Professor Tom Davenport describes four categories of analytics and how they fit into the manager’s toolkit of decision making approaches:  
  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Automated decision-making through analytics 

About the Presenter

Thomas Davenport​ is a world-renowned thought leader who has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor in Management and Information Technology at Babson College. He has also taught at the Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also a Senior Advisor to Deloitte Analytics, and a Digital Fellow at the MIT Center for Digital Business. Tom has written or co-authored sixteen best-selling business books and is one of Harvard Business Review’s most frequently published authors.