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数据策略:制定数据策略并保持其相关性的价值.pdf

上传人: 芦苇 编号:651684 2025-05-01 21页 2.05MB

1、Data StrategyGreat Lakes Data&Analytics Summit 2025APRIL 10,2025Name of Presentation|Section TitleIdentify what might cause you to revisit your strategy.Goal for Today.Know how to start the conversation within your teams.Understand what data strategy is.GREAT LAKES DATA&ANALYTICS SUMMIT 2025AgendaGr

2、eat Lakes Data&Analytics Summit 20251IntroWho I am.Establishing a FoundationGetting started.Considerations.Data StrategyWhy it is important.What it is.What it isnt.Key components.23Keep it RelevantModify.Expand.Pivot.4GREAT LAKES DATA&ANALYTICS SUMMIT 2025Name of Presentation|Section TitleIntro.Ally

3、 CronanderTEAM LEAD|DATA&INSIGHTSI am from Michigan and went to Michigan State University(Go Green!).Ive been at AdAdapted for 5 years and am the Team Lead of Data&Insights.I live in Denver,Colorado.Favorite hobbies are skiing and hiking with my dog,Basil.GREAT LAKES DATA&ANALYTICS SUMMIT 2025Data S

4、trategyGREAT LAKES DATA&ANALYTICS SUMMIT 2025Replace ImageTO CROP:Double click on the image and click and drag edges in line with pink rectangle template01IT IS IMPORTANT because it aligns data efforts with company goals.More effective data effortsData is used as a resourceWhy is Data Strategy Impor

5、tant?02IT IS IMPORTANT because it creates competitive advantage for your product.Better understanding of how data can benefit each teamGREAT LAKES DATA&ANALYTICS SUMMIT 2025Replace ImageTO CROP:Double click on the image and click and drag edges in line with pink rectangle templateIT IS how you inten

6、d to be successful.Provide value with data.What is Data Strategy?IT IS using data to level you up.Use data to advance your thinking.IT IS used to optimize the business.Data can enable you to better your business.GREAT LAKES DATA&ANALYTICS SUMMIT 2025Replace ImageTO CROP:Double click on the image and

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本文是关于2025年大湖数据分析峰会的内容概述。首先介绍了数据策略的重要性,包括与公司目标对齐,创造竞争优势,以及作为成功的关键。然后定义了数据策略的概念,它不仅仅是数据收集、存储或管理,而是使用数据来优化业务和提升思考。文章还提到数据策略不是计划或项目路线图,而是一个持续的反馈循环,需要随着业务和技术的变化而调整。最后,文章讨论了实施数据策略的基础设施、团队和技术考虑,以及如何根据业务需求和反馈进行调整、扩展或转变。
"如何确保数据策略与业务目标一致?" "如何利用数据策略获得竞争优势?" "数据策略的关键组成部分有哪些?"
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