Tableau improves links to Salesforce AI as it works to become more integrated into the ecosystem – TechCrunch

When Salesforce spent nearly $16 billion to buy Tableau in 2019, it was acquiring a company with the goal of bringing data to the masses. As a cloud solution, it fits nicely into Salesforce’s growing federation of cloud products and services. Over time, it makes sense that the two companies are finding ways to integrate with each other’s technology and across the entire family of products.

Today at Tableau’s customer conference in Las Vegas, the company announced deeper integration with Einstein, Salesforce’s AI platform. Perhaps not surprisingly, this integration involves CRM data, the bread and butter of the Salesforce platform.

Tableau CEO Mark Nelson discussed the possibilities for customers when the capabilities of the two companies are combined. “Salesforce Einstein AI generates more than 152 billion predictions every day. By leveraging these insights, even novices can see beyond the what of their data and understand the why or see what might happen in the future. And what should you do about it,” he said at a press event on Monday before the conference.

Francois Ajenstat, the company’s chief product officer, says the two companies saw value in integrating and exploring how Einstein could improve Tableau. “About a year ago, we introduced Einstein Discovery in Tableau, which was the first Einstein integration in Tableau and allowed people to do more, but still required a lot of setup,” he explained.

This time, the goal was to simplify the integration and make it more accessible by automating the creation of a predictive model.

“It takes advantage of everything a customer has already set up in Tableau, their data connections, through their data sources, through their security, through their governance model. You don’t have to go anywhere else,” he said. Also, while the models are powered by Salesforce AI on the back end, they are built and live in Tableau.

While AI is a great point of integration, the company has also built connections into Slack, where you can analyze data as it’s generated, into Mulesoft, where it powers connections with APIs to a number of systems for which it’s there may be no solutions. checkout connectors and Salesforce Flow, the company’s automation product that can use data as triggers to drive actions based on certain data points.

Ajenstat says the goal of these integrations is to make customer data more accessible and actionable, ultimately driving more business. “It’s just a new world of opportunity. It’s an opportunity … to accelerate innovation, accelerate customer success, and ultimately accelerate the mission we’ve been on to help people see and understand data,” he said.

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