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Improve Omni-channel Shopping Experience with Product Information Management
August 21, 2014

Can You Measure Data Confidence?

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Available On-Demand

Date Held: June 30, 2014

Learn how to calculate data confidence and improve the adoption of big data & analytics

Data confidence is an abstract notion in most organizations. Yet it is critical in order to make your front line workers trust and act upon big data and analytic insight. Garbage in, garbage out - that same adage is true for big data. Even the most game-changing analytics will have no impact if your team doesn't use them, because they don't trust in the data or the insights. In this webcast, you will learn about the aspects of confidence, how to measure those aspects, and how to calculate confidence scores for data.

You'll also hear case studies of leading organizations who have utilized data confidence scores to improve adoption of new big data & analytics projects. We'll reveal new industry research on the best practices from leading organizations for calculating and sharing data confidence in their big data projects.

Speakers:
Nathaniel Rowe, Aberdeen
David Corrigan, IBM

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