BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20260310T211313Z DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi ty.net/sessionPop.cfm?confid=121&proposalid=9477\n

Business people have w anted self-service BI for years, but it’s rarely achieved and often m isunderstood. Before selecting the “right” tool, it’s cri tical that you examine the people, process, and politics involved. In this workshop, we’ll review what self-service means to various BI user com munities, and what each of these communities needs in terms of data, govern ance, integration, and analytical capabilities. We’ll explore three B I environments: traditional BI portals with guided data discovery, analytic al sandboxes, and data science hubs, and how they support casual informatio n consumers, business “power” users, and data scientists. We al so review how data engineering, data integration, and data preparation fit, and who is involved in these processes. Attendees will learn: 

\n\ n How to determine analytical use cases and match people’s analytical s tyles \n The best choices for data architectures\n Where data governance and metadata management applies \n Enabling organizational approaches\n Best and pragmatic practices\n How to select best-fit technology\n\n DTSTART:20180422T143000 SUMMARY:Designing a Self-Service BI Environment That Avoids Data Anarchy an d Enables Analytics DTEND:20180422T174459 LOCATION: See Description END:VEVENT END:VCALENDAR