Salesforce today announced the launch of two new tools for AI-assisted data analytics. Tableau GPT and Tableau Pulse aim to deliver an improved data analysis experience through a new approach powered by generative AI. The new tools provide Tableau users automatic data analysis and personalized analytics experiences.
The company said the new innovations will revolutionize how Tableau users analyze their data, bringing a new level of efficiency and accuracy to data analytics.
Tableau GPT is designed to streamline access to AI-powered analytics, allowing employees to make informed decisions swiftly and efficiently.
Tableau Pulse offers customized analytics experience to business users and data consumers, using automated insights generated by Tableau GPT.
“Generative AI allows users to generate visualizations and surface 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 prompting Tableau GPT for insights, Tableau GPT will also proactively suggest new charts, visualizations and questions users ask.
“Tableau Pulse will help users transform outcomes with personalized metrics that are easy to understand and actionable. These metrics are personalized to their work so they can discover new opportunities, get ahead of issues 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 swift insights at scale. By incorporating the power of generative AI into analytics and real-time data from Data Cloud, Tableau aims to empower everyone to make data-driven decisions easily.
In addition to those announcements, the company introduced the VizQL Data Service, a tool allowing users to embed Tableau into an automated business workflow. With a user-friendly programming interface, developers will now be able to effortlessly construct composable data products, eliminating the complexities of query construction and data modeling.