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从原始数据到真实洞察:构建数据驱动型组织的经验教训.pdf

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1、Hosted by:Welcome!The presentation will begin shortly If your badge was not scanned at the door,please use the self check-in feature in the session details in the Schedule.April 10,2025Great Lakes Data,AI&Analytics SummitFrom Raw Data to Real Insights:Lessons from Building a Data-Driven Organization

2、Michigan Medical GroupsRachel SandersBusiness Intelligence Analyst IIIn the healthcare industry for 25+years-Experience on the clinical,revenue,and application/EMR support sides prior to joining BI TeamEnjoys training and supporting customers with all their reporting needsProjects include:-Fiscal Ye

3、ar Goals-Referral Reporting-Behavioral Health Program ReportingEvan DelcampBusiness Intelligence Analyst IIBachelor of Business Administration from Eastern Michigan UniversityCurrent University of Michigan Data Science Masters StudentProjects Include:-Provider Messaging-Patient Access-Office Collect

4、ionsP2025 Trinity Health3Speaker IntroductionsIHA was founded in 1994 serving Southeast Michigan.In 2024,we expanded services to include West Michigan medical practices We served 947,000+patients over the last year.250+office locations serving communities in Washtenaw,Livingston,Lenawee,Oakland,West

5、ern Wayne,Allegan,Kent,Ottawa,and Muskegon Counties.60+SpecialtiesBusiness Intelligence Department was initiated in 2017.15 BI Staff and growing.Core technologies are Microsoft SQL Server Database,SQL Server Integration Services(SSIS),SQL Server Analysis Services(SSAS),SQL Server Reporting Services(

6、SSRS),Power BI,and Microsoft Fabric(new)About us:Trinity Health Michigan Medical Groups2025 Trinity Health4Lacking insights on business performanceReports limited in vendor applicationsDifficult to combine data from disparate systems No cross-organizational goals and metricsChallenging to view trend

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本文介绍了2025年4月10日举办的Great Lakes Data, AI & Analytics Summit会议的举办方、演讲者、演讲主题以及数据分析在医疗行业中的应用。会议主办方为Michigan Medical Groups,演讲者包括Rachel Sanders和Evan Delcamp,他们分别介绍了数据驱动组织建设、数据仓库的优势、领导层对数据分析的重视以及自我服务工具和培训系统的重要性。文章指出,建立一个集中的商业智能部门和数据仓库可以提高数据质量、查询性能和决策质量。此外,领导层的支持对于推动BI项目的成功至关重要。会议还强调了建立数据素养和自我服务工具的重要性,以及通过社区和培训来提高用户对数据分析的兴趣和能力。最后,文章提出了如何成为数据领导者并应用这些策略的问题。
"如何建立一个数据驱动的组织?" "企业数据仓库的优势是什么?" "如何获得领导层对BI的支持?"
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