Have you ever shown a report to your CEO or manager and he/she told you the numbers look way off? Has a customer ever called out incorrect data in one of your product dashboards? In this talk, I’ll introduce the concept of “data downtime” -- periods of time when your data is partial, erroneous, missing or otherwise inaccurate.
Data downtime is highly costly for data-driven organizations and affects almost every team, yet is often addressed ad hoc in a reactive manner. We’ll discuss why data downtime matters to the data industry, signs you may have a data downtime problem, how to address it proactively, and the incredible leverage you’ll provide to your company and customers if you do.
Barr Moses is an entrepreneur and former Vice President at Gainsight, a startup enabling companies to leverage customer data to drive business outcomes. At Gainsight, she helped grow the company 10x in revenue and built the customer data and analytics team. Prior, Barr was a management consultant at Bain & Company and worked at the Statistics Department at Stanford. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.
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