Flexible, Self-Service Analytics

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Discover best practices from organizations facing problems of disparate data sources.

Today it’s common for businesses to need to analyze data from many and disparate sources. This makes it challenging for the IT team to provide intelligence across incompatible systems and different formats.

The job is further complicated when different systems show different data, and questions arise over what is accurate. And finally, different users need different levels of flexibility to work with their data.

Download this whitepaper to learn:

  • How to address business users’ need for information while reducing load on the IT team
  • How to reduce cycle time and improve accuracy for reports
  • The benefits of using a single data presentation layer for multiple data sources
  • Best practices for understanding the needs of your users and deploying flexible, self-service business intelligence
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Having a self-service model is great, because I’m not inundated with request after request that I have to put all together. Instead, I can put out a few tools and they [teachers and administrators] can work with those and get a lot of the answers that they need.

關於 Tableau

Tableau 協助使用者將資料轉化為可據以採取行動的深入分析。透過視覺化分析探索無限可能。只要按幾下滑鼠,就可以建立儀表板並執行臨時分析。分享您的工作並讓您的資料發揮影響力。從全球性的企業到初期新創公司與小型公司,各地的使用者都使用 Tableau 來查看並瞭解資料。



媒體報導

Fortune
Fast Company
Wallstreet Journal
Wired

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