让我们提升：零售和消费品数据共享与协作的开源模型.pdf

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1、Lets Elevate:An Open Source Model for Data Sharing and Collaboration in Retail and Consumer GoodsJune 2025Forward-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 information.

2、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”,“expects”,“p

3、lans”,“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 available at the

4、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 performance or outco

5、mes.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.2Agenda1Progress to date in data sharing 2Problem the industry is facing 3Coalition 4Next Step

6、s and Call to Action32025 Databricks Inc.All rights reservedBusiness Outcome MapRetail&Consumer Goods Data Sharing&Clean Rooms Trend Monitoring Closed Loop AttributionShopper InsightsBehavioral Analytics Promotions Customer Data Management Brand Equity Workforce Scheduling&OnboardingOnboarding&Knowl