What’s Your Data Strategy?
Tuesday, April 18, 2017
|12:00 PM - 1:00 PM||US Eastern|
|11:00 AM - 12:00 PM||US Central|
|10:00 AM - 11:00 AM||US Mountain|
|9:00 AM - 10:00 AM||US Pacific|
|4:00 PM - 5:00 PM||GMT|
More than ever, the ability to manage torrents of data is critical to a company’s revenue growth and success. Even with data-management functions and chief data officers, most companies remain badly behind the curve.
On average, less than 50% of structured data is used in making decisions—and less than 1% of an organization’s unstructured data is analyzed or used at all. More than 70% of employees have access to data they should not, and 80% of analysts’ time is spent simply discovering and preparing data. Data breaches are common, rogue data sets propagate in silos, and companies’ data technology often can’t manage all this.
Having a chief data officer and a data-management function is a start, but neither can be effective in the absence of a coherent strategy for organizing, governing, analyzing, and deploying data.
On April 18, 2017, in a live Harvard Business Review webinar, Tom Davenport—a thought leader on data and analytics—and AIG’s chief data officer Leandro DalleMule will explain why having a clear data strategy is essential, and will describe a new framework for building a robust data strategy that can be applied across industries and levels of data maturity.
Davenport and DalleMule will share key insights from their HBR article “What’s Your Data Strategy?” They will explain the importance of a data strategy that:
- Balances offense and defense
- Provides both control and flexibility
Permits both a single source of the truth and multiple versions of the truth
If your organization has massive amounts of data and wants to take greater advantage of this valuable asset, join Davenport, DalleMule, and HBR to understand the keys to effective data strategy.
About the Speaker
Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Center for Digital Business, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University.