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.

About Tableau

Tableau helps people transform data into actionable insights. Explore with limitless visual analytics. Build dashboards and perform ad hoc analyses in just a few clicks. Share your work with anyone and make an impact on your business. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data.



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