Salesforce Introduces Tableau Data Analysis Tools Powered by Generative AI

Salesforce today announced the release of two new tools for AI-assisted data analysis. Tableau GPT and Tableau Pulse aim to deliver an enhanced data analytics experience through a new approach powered by generative AI. The new tools provide Tableau users with automated data analysis and personalized analysis experiences.

The company said the new innovations will revolutionize the way Tableau users analyze their data, bringing a new level of efficiency and precision to data analysis.

Tableau GPT is designed to streamline access to AI-powered analytics, allowing employees to make informed decisions quickly and efficiently.

Tableau Pulse offers a personalized analytics experience for business users and data consumers, using automated insights generated by Tableau GPT.

“Generative AI allows users to generate visualizations and unearth new insights conversationally by asking questions within the console,” a Tableau spokesperson told VentureBeat. “In addition to enabling this new way for users to interact with their data by requesting information from Tableau GPT, Tableau GPT will also proactively suggest new charts, visualizations, and questions that users ask.

“Tableau Pulse will help users transform results with custom metrics that are easy to understand and actionable. These metrics are customized for their work so they can discover new opportunities, get ahead of problems before they become risks, and make better decisions.”

Salesforce says Tableau’s composable analytics and Salesforce Data Cloud capabilities will unify customer data and deliver fast insights at scale. By bringing the power of generative AI to Data Cloud’s real-time data and analytics, Tableau aims to empower everyone to make data-driven decisions with ease.

In addition to those announcements, the company introduced VizQL Data Service, a tool that allows users to integrate Tableau into an automated business workflow. With an easy-to-use programming interface, developers can now effortlessly build composable data products, taking the complexities out of query construction and data modeling.

Powering data analysis through generative AI

Using Salesforce’s Einstein GPT on the backend, Tableau GPT allows users to uncover new insights conversationally by asking questions within the console. The new tools also provide visual and easily digestible data analysis, allowing users to identify the appropriate actions for their data.

For example, if a user notices that a metric is off, Tableau GPT will analyze and present the data visually, providing the user with information so they can take appropriate action.

For its part, Tableau Pulse gives users a personalized experience powered by AI, transforming the way they work with data.

For example, it alerts users when a CSAT score drops in an unusual way; identifies possible causes, such as high levels of active tickets and longer response times; and provides relevant and timely information to keep users informed about the performance of their business.

Users can also collaborate and act on this information directly within their regular workflow using collaboration tools like Slack and email.

“Tableau Pulse couldn’t exist without Tableau GPT, and classic Tableau workflows are streamlined or enhanced with Tableau GPT,” the spokesperson told VentureBeat. “Tableau Pulse uses Tableau GPT to provide automated analytics based on custom metrics that are easy to understand and act on. Display information in both natural language and visual format so that users get the information they need in a digestible way. And, with tight integrations with collaboration tools like Slack and email, users can share information directly with colleagues within their workflow.”

Tableau GPT supports analysts by facilitating natural language calculations, recommending appropriate charts and visualizations, and automatically generating data source descriptions. For business users, Tableau GPT provides natural information in plain language and even proactively presents questions the user might ask next.

Additionally, Tableau Pulse will act as a personalized guide to user data, understanding their data and the results they hope to achieve. As a result, you can provide specific and personalized information that is meaningful to the user.

“Since it’s powered by generative AI, it can talk to the new tools [as if there were] an adviser sitting across from you. As a result, Tableau Pulse makes data friendly and easy for everyone, even non-technical users, and allows them to bring more value to their organization because they are making smarter decisions,” said the Tableau spokesperson.

The company claims that this is the first Salesforce/Tableau app built from the ground up for generative AI. The new tools go beyond typical “natural language for query” or “natural language for visualization” capabilities, leveraging the full potential of large language models.

“These are emerging as summaries of information, conversational experiences, and assisted curation (startup metrics) and will progress to an agency model in the near future. Our analytics agent will be able to reason semi-autonomously, seek information, reach conclusions, make recommendations, and take action with validation and human input,” the spokesperson added.

The company clarified to VentureBeat that its data cloud The offer will allow the unification of a company’s data from all channels and interactions into unique customer profiles and in real time. Additionally, when combined with Tableau, customer data can be visualized, making it easy for users to explore and gain insights.

Data Cloud’s zero-copy data sharing feature allows users to virtually access Data Cloud data from other databases, providing instant access. With “instant analysis,” a new capability within Data Cloud for Tableau, users can analyze and visualize Data Cloud data live within Tableau. Also, they can check millions of records with a single click.

“Soon we will announce Data Cloud for Tableau, which brings a complete view of all your customer data to your entire organization so everyone can get information at their fingertips and see a single view of their customers at every touch point.” said the company spokesman. the said. “This AI-powered insight allows users to take action right in the flow of their work, without jumping apps, opening new tabs, or launching new programs.”

Enhanced automation for business workflows

Tableau also introduced a new developer capability called VizQL Data Service, which allows users to seamlessly integrate Tableau into an automated business workflow.

According to the company, this capability acts as a layer that sits on top of existing models and published data sources and allows developers to create composable data products through a simple programming interface. This feature speeds up and simplifies query construction and data modeling. Developers can also access Tableau’s analytics engine through this feature.

“[The] simple programming interface [of VizQL Data Service] it allows developers to create new data products without needing the help of a data expert,” the spokesperson said. “For example, let’s say you want to create a new user interface for some of the interactions and information in Tableau. Or you want to integrate information from Tableau into an automated business workflow. Or maybe you want to create a chatbot that interacts with your analytics in Tableau. Developers can do all of this with VizQL Data Services. And they can leverage Tableau data experiences to help people everywhere decisions are made.”

What’s next for Tableau?

The company spokesperson told VentureBeat that it has ambitious plans for AI-driven innovation in the long term, and users should anticipate more comparable innovations in the near future that empower data-driven decision-making.

“We are all starting to familiarize ourselves with and understand the potential of generative AI, but we are already seeing glimpses of how it can alter the world around us, specifically the world of analytics,” the spokesperson said. “Whatever the outcome, we know that a revolutionary change in the roles humans play in all industries is coming.”