5 Steps to Self-Service Analytics that Scales

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Learn the five steps to ensure safe, secure, and governed results.

The data revolution is here. And self-service analytics is a given.

When the business wants access to raw data, it can be disruptive. Self-service business intelligence challenges the traditional BI methodology and forces IT to take a new approach to analytics.

The modern approach is simple. It’s about IT and the business partnering to deliver self-service data access at scale. It allows secure and governed data to flow into the organization through IT. And it empowers the end user with the software to explore their data.

At its core, Tableau was built to help people easily connect to, visualize, and analyze their data to find insights faster. They can then securely share and collaborate across their organization. This approach provides significant value and is quickly making self-service BI the new normal.

Ready to take the modern approach?

Here are five steps to ensure safe, secure, and governed results.

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We really wanted a self-service model. The folks in IT really didn't want to be the report writers, nor should they be. From an IT perspective, we can put Tableau where it belongs, in the hands of the folks that use the data and know the data.

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
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