Big data has historically meant a lot of data of a lot of different types often thrust together into a huge platform with little or no thought given to data quality or data governance. This seems like a great idea until executives and line of business owners try to use that data to understand and predict the business—the whole reason big data initiatives got started in the first place. Then, there are conflicting analytics results, wild new predictions, and crazy reports that everyone knows are inaccurate. Trust in the data is eroded, making all that huge lake of data a questionable cesspool little better than using gut feel to make decisions. Building a big data system that no one trusts is a whole lot of work wasted. Once lost, trust is extremely difficult to regain.
Syncsort and Trillium, experts in high-performance ETL and data quality, have seen this happen in customer implementations again and again. Keith Kohl shares an actionable checklist that shows everyone in your enterprise that your big data can be trusted. Along the way, Keith walks you through some of the pitfalls of big data without quality and governance and discusses examples and the benefits of making certain that the data in your lake is trusted by the people who need it and use it.
This session is sponsored by Syncsort.
Keith Kohl is vice president of product management at Syncsort, where he is responsible for product management strategy, roadmap, and feature definition across Syncsort’s product portfolio. Keith has more than 16 years of data management market experience. Previously, Keith served as vice president of product management at Trillium Software, where he focused on Trillium’s global product strategy for enterprise data quality solutions, encompassing both established and emerging big data solutions, as deployed on-premises and in the cloud.
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