Tableau improves links to Salesforce AI as it works to blend in more with the ecosystem – TechCrunch

When Salesforce spent nearly $16 billion to buy Tableau in 2019, it got a company with the goal of bringing 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 for the two companies to find ways to integrate with each other’s technology and across the entire product family.

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

Tableau CEO Mark Nelson spoke about the potential for customers when you combine the capabilities of the two companies. “Salesforce Einstein AI generates more than 152 billion predictions every day. By leveraging these insights, even beginners can look beyond the what of their data and understand the why, or see what could 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 the value of integrating and exploring how Einstein could expand Tableau. “About a year ago, we introduced Einstein Discovery to Tableau, which was Einstein’s first integration into Tableau and allowed people to do more, but it still required a lot of configuration,” he explains.

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 have to go anywhere else,” he says. In addition, although the models on the back are powered by Salesforce AI technology, they are built and live in Tableau.

While AI is a great integration point, the company has also built connections into Slack, where you can discuss data as it’s generated, into Mulesoft, where it drives connections with APIs to a number of systems that may not have an out-of-the-box. 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 usable, and ultimately drive more revenue. “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 had to help people see and understand data,” he said.

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