使用 Databricks 衡量数据产品的用户采用率和 KPI.pdf

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1、Measuring User Adoption and KPIs for Data ProductsUsing DatabricksGrant Stubblefield,Director of Product,Kythera LabsForward-looking StatementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain all relevant i

2、nformation.Statements contained herein are made as of the date of this presentation unless stated otherwise.This presentation and the accompanying oral commentary may contain forward-looking statements.In some cases,forward-looking statements can be identified by terms such as“may”,“will”,“should”,“

3、expects”,“plans”,“anticipates”,“could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the negative of these words or other similar terms or expressions that concern Databricks expectations,strategy,plans,or intentions.Forward-looking statements are based on information availa

4、ble at the time those statements are made and are inherently subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or suggested by the forward-looking statements.Forward-looking statements should not be read as a guarantee of future performan

5、ce or outcomes.Except as required by law,Databricks does not undertake any obligation to publicly update or revise any forward-looking statement,whether as a result of new information,future developments or otherwise.3Speaker BackgroundGrant Stubblefield Director of Product at Kythera LabsExpertise:

6、HealthcareBusiness Process AutomationData Analytics(specifically Databricks SQL)What Are Data Products?Data Product CharacteristicsAttributeDescriptionPurposefulSolves a specific business or user problem(e.g.,patient cohort analysis,churn prediction,drug effectiveness trends).DiscoverableCan be foun