Salesforce Introduces Tableau Data Analysis Tools Driven by Generative AI

Salesforce Introduces Tableau Data Analysis Tools Driven by Generative AI

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Salesforce today announced the launch 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 analytics experiences.

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

GPT table is designed to simplify access to AI-powered analytics, enabling employees to make informed decisions quickly and efficiently.

Table impulse delivers a personalized analytics experience to business users and data consumers, using automated insights powered by Tableau GPT.


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“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 requesting insights from Tableau GPT, Tableau GPT will also proactively suggest new graphs, visualizations and questions asked by users.

“Tableau Pulse will help users transform results with custom metrics that are easy to understand and actionable. These metrics are tailored to their work so they can discover new opportunities, anticipate 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 rapid insights at scale. By incorporating the power of generative AI into real-time data and analytics from Data Cloud, Tableau aims to enable everyone to easily make data-driven decisions.

In addition to these 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 will now be able to easily build composable data products, eliminating the complexities of query building and data modeling.

Powering data analytics through generative AI

Using Salesforce’s Einstein GPT on the backend, Tableau GPT and allows users to surface new information 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 track, Tableau GPT will analyze and present the data visually, providing the user with insights so they can take appropriate action.

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

For example, it warns users when a CSAT score drops unusually; identify potential causes, such as high levels of active tickets and longer response times; and provides relevant and timely insights to keep users informed about the performance of their business.

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

“Tableau Pulse couldn’t exist without Tableau GPT, and classic Tableau workflows are simplified 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. It surfaces insights in both natural language and visual formats so users get the information they need in an understandable way. Plus, with tight integrations with collaboration tools like Slack and email, users can share insights directly with colleagues within their own workflow.”

Tableau GPT assists analysts by facilitating natural language calculations, recommending appropriate charts and visualizations, and automatically generating descriptions of data sources. For business users, Tableau GPT provides natural insights in plain language and also proactively presents questions the user might ask next.

Additionally, Tableau Pulse will act as a personalized data guide for users, understanding their data and the results they hope to achieve. As a result, it can provide targeted and personalized insights that are meaningful to the user.

“Because it’s powered by Generative AI, you can talk to the new tools (as if there were) an advisor sitting across from you. As a result, Tableau Pulse makes data accessible and easy for everyone, even non-technical users, and empowers them to bring more value to their organization because they are making smarter decisions,” said the Tableau spokesperson.

The company says this marks the first Salesforce/Tableau application built from the ground up for generative AI. The new tools go beyond typical “natural language for querying” or “natural language for visualizing” capabilities by harnessing the full potential of large language models.

“These emerge as summaries of insights, conversational experiences and assisted care (metric bootstrapping) and will progress towards an agent model in the near future. Our analytics agent will be able to semi-autonomously reason, dig for insights, reach conclusions, make recommendations, and act with human input and validation,” the spokesperson added.

The company made it clear to VentureBeat that its Data cloud The offering will enable the unification of a company’s data from all channels and interactions into individual customer profiles in real time. Additionally, when paired with Tableau, customer data can be visualized, making it easier for users to explore and gather insights.

Data Cloud’s zero-copy data sharing feature allows users to virtually access Data Cloud data from other databases, providing instant accessibility. With “instant analytics,” a new feature within Data Cloud for Tableau, users can analyze and visualize Data Cloud data in real time within Tableau. Plus, they can query millions of records with a single click.

“We will soon be announcing Data Cloud for Tableau, which brings a complete view of all customer data to the entire organization so that everyone can get insights at their fingertips and have a single view of their customers across every touchpoint,” he said. said the company spokesman. he said. “This AI-powered insight allows users to take action directly in their workflow, without skipping applications, opening new tabs or launching new programs.”

Advanced automation for business workflows

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

According to the company, this functionality serves as a layer above published data sources and existing models and allows developers to create composable data products through a simple programming interface. This feature streamlines and simplifies query building and data modeling. Developers can also access Tableau’s analytical engine through this feature.

“(VizQL Data Service’s) simple programming interface 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 build a new UI for some of the interactions and insights in Tableau. Or you want to integrate Tableau insights into an automated business workflow. Or maybe you want to build a chatbot that interacts with your analytics in Tableau. Developers can do all of this with VizQL Data Services. And they can leverage Tableau’s data experiences to support people wherever decisions are made.”

What’s next for Tableau?

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

“We are just starting to familiarize and understand the potential of Generative AI, but we are already seeing glimpses of how it could alter the world around us, especially the world of analytics,” the spokesperson said. “Whatever the outcome, we know a game-changing shift is on the horizon in the roles humans play in every industry.”

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