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.

Tableau 정보

Tableau를 사용하면 데이터를 실천 가능한 통찰력으로 전환할 수 있습니다. 제한 없이 시각적 분석을 반복적으로 수행하고, 몇 번의 클릭만으로 대시보드 구축 및 애드혹 분석이 가능합니다. 또한 모든 사람과 작업 내용을 공유하고 비즈니스를 개선할 수 있습니다. 글로벌 기업부터 신생 기업 및 소규모 비즈니스에 이르기까지 전 세계 모든 사람들이 Tableau를 사용하여 데이터를 보고 이해할 수 있습니다.



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