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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我们的确需要一个自助模型。IT 部门的人员实在不想成为报告撰写者,而且他们也不应如此。从 IT 角度来看,我们可以将 Tableau 放在使用数据并了解数据的 IT 人员的手中,这才是它理所应当的用途所在。

关于 Tableau

Tableau 帮助人们将数据转化为可以付诸行动的见解。探索无所不能的可视化分析。只需点击几下即可构建仪表板,进行即兴分析。与任何人共享自己的工作成果,对公司发挥更大影响力。从全球性企业到早期初创企业和小企业,使用 Tableau 来查看和理解数据的人无处不在。



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