Tableau enhances links to Salesforce AI as it works to blend more into ecosystem – TechCrunch

Screen Shot 2022 05 16 at 3.18.20 PM
Screen Shot 2022 05 16 at 3.18.20 PM

When Salesforce spent nearly $16 billion to buy Tableau in 2019, it was a company focused on delivering data to the masses. As a cloud solution, it fits nicely into the growing Salesforce federation of cloud products and services. Over time, it makes sense that the two companies would find ways to integrate each other’s technology and across the product family.

Today at Tableau’s customer conference in Las Vegas, the company announced deeper integration with Einstein, the Salesforce AI platform. Perhaps unsurprisingly, this integration involves CRM data, the bread and butter of the Salesforce platform.

Tableau CEO Mark Nelson talked about the possibilities for customers when you combine the capabilities of both companies. “Salesforce Einstein AI generates over 152 billion predictions every day. By leveraging this insight, even beginners can see beyond the what of their data and understand the why or they can see what might happen in the future. And what should you do about it, ”he said at a press conference Monday before the conference.

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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 that allowed people to do more, but it still required a lot of setup,” he said. he explains.

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

“It leverages everything a customer has already configured in Tableau, their data connections, through data sources, through security, through their governance model. You don’t need to go anywhere else,” he said. Also, although the models are powered by Salesforce AI technology on the back-end, they are created and live in Tableau.

While AI is a great integration point, the company has also established connections in Slack where you can discuss data as it’s generated, in Mulesoft where it generates connections with APIs to a number of systems for which there may not be out-of-the-box connectors and Salesforce Flow, the enterprise automation product that can use data as triggers to drive actions based on certain data points.

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

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