Tableau wants to cater to a broader base of users with more powerful AI-powered data analytics with the just-released Tableau 2021.2.
Pointing to research data from IDC, Tableau noted that 83% of CEOs expect their organizations to be more data-driven, but only 33% of employees are comfortable using data analytics to support their decisions.
By leveraging augmented analytics, the latest updates will tackle the data skills gap to empower more people with the right technology to make smarter and faster decisions regardless of their role and skill level.
Bringing analytics to everyone
First unveiled in 2019, the “Ask Data” feature allowed users to answer business questions using natural language, though was geared for use by trained analysts.
The updated version incorporates personalized guidance capabilities to enable more users to ask relevant questions or set up a dashboard integration, dramatically broadening the number of people who can successfully ask questions of data.
Similarly, the “Explain Data” feature automatically generated an explanation of data points when it was released in 2019. An updated UI optimized for a wider audience allows more users to quickly understand the drivers behind a specific data point, reducing the risk of errors with explanations that go beyond a generated visualization.
Both Ask Data and Explain Data are now available to all roles and users for Tableau Server and Tableau Online.
Francois Ajenstat, the chief product officer at Tableau pointed to a growing disconnect between business leaders expecting a data-driven organization and employees who are not comfortable using data to make decisions.
He noted that building a data-first organization requires unlocking the power of data for as many as possible, opening the door to meaningful decisions that will transform the business.
“Organizations can drive growth and foster innovation by pairing the right technology investments with a focus on data culture,” said Chandana Gopal, a research director at IDC.
“Technologies like embedded AI and augmented analytics are promising tools that can democratize analytics beyond the traditional BI and advanced analyst user, and empower all workers to become more data-driven in their decisions,” she said.
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