Fort Canning Hotel | 17 March 2015 | 8.30am - 2.00pm
By invitation only. Seats are limited to 50 pax

Join us for this masterclass by Tom Davenport where he will share insights from his latest book "Big Data @ Work" - dispelling the myths, uncovering the opportunities.

The way we make decisions have evolved. The data available is unstructured and growing. The techniques and technologies are now accessible to all. A recent survey by leading analyst firm found successful analytics projects delivered $2.50 for every dollar spent.

The masterclass will cover what big data means from a technical consumer and
management perspective and where it can have real business impact.

Key Takeaways

How big data will change your job, your company, and your industry

The human side of big data Technology for big data (like Hadoop and Analytical Visualisation) What it takes to succeed with big data

About Tom

Thomas Davenport, world-renowned thought leader & author of Big Data @ Work
Thomas Davenport 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. Tom earned a Ph.D. from Harvard University in social science. An agile and prolific thinker, Tom has written or co-authored sixteen best-selling business books and is one of Harvard Business Review’s most frequently published authors. He is the creator and/or early author of several key business ideas including: competing on analytics, big data, knowledge management, human approaches to information management, business process reengineering, and realizing the value of enterprise systems.


Due to overwhelming responses, registration is now closed.


Additional Call to Action or About SAS Statement

Learn more about Big Data.

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