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What is Tableau GPT? What is Tableau Pulse? What are Tableau GPT new features?

Updated: Aug 20

Tableau GPT is a suite of capabilities that brings trusted generative AI to the entire Tableau Platform to simplify and democratize data analysis and insight consumption at scale1. Some of the new features in Tableau 2023.2 include multi-row calculations in Tableau Prep, Line Pattern.

With multi-row calculations in Tableau Prep, you can compute table calculations while preparing your data. Using clicks, not code or complex calculations, it is easier than ever to calculate difference from, percent difference from, and moving calculations. We can also now write LOOKUP calculations in the expression editor of Tableau Prep.

Line Patterns offer new styling capabilities, allowing an author to select any trend line to be represented as a solid, dashed, or dotted lines. This new capability makes it easier to convey nuance when representing multiple trends, where styling can help to convey when certain lines represent unique context, such as thresholds or modeled data points.

Tableau GPT is a new feature in Tableau that uses generative AI to help users better understand and interact with their data.

Here are some of the new features of Tableau GPT:

  • Natural language querying: Users can ask questions in natural language, and Tableau GPT will generate visualizations that answer the questions.

  • Smart suggestions: Tableau GPT will suggest visualizations that it thinks will be helpful to the user.

  • Automatic insights: Tableau GPT will automatically identify insights in the data and generate visualizations to highlight those insights.

  • Personalized recommendations: Tableau GPT will learn the user's preferences and make recommendations for visualizations that the user is likely to find helpful.

Tableau GPT is still in development, but it has the potential to revolutionize the way that people interact with data. By making it easier for users to ask questions and understand their data, Tableau GPT can help people make better decisions and solve problems more effectively.

Here are some of the benefits of using Tableau GPT:

  • It can help you to ask better questions about your data. Tableau GPT can help you to frame your questions in a way that is more likely to lead to insights.

  • It can help you to identify insights in your data that you might not have otherwise seen. Tableau GPT can automatically identify patterns and trends in your data that you might not have noticed.

  • It can help you to create more effective visualizations. Tableau GPT can help you to create visualizations that are more clear and concise, and that better communicate the insights in your data.

Overall, Tableau GPT is a powerful tool that can help you to better understand and interact with your data. If you are looking for a way to make better decisions and solve problems more effectively, then Tableau GPT is a tool that you should consider.

Here are important videos.

If you want to learn more then click on 'Discover the amazing new features of Tableau GPT & Tableau Pulse!'

How Natural language querying works in Tableau GPT?

Natural language querying in Tableau GPT works by using a generative pre-trained transformer (GPT) model to understand the meaning of your questions and generate visualizations that answer those questions. GPT models are a type of artificial intelligence (AI) that are trained on a massive dataset of text and code. This training allows GPT models to understand the meaning of human language and generate text that is similar to human-written text.

When you ask a natural language question in Tableau GPT, the GPT model will first try to understand the meaning of your question. It will do this by breaking your question down into smaller parts and then looking for patterns in those parts. Once the GPT model understands the meaning of your question, it will then generate a visualization that answers that question.

The visualization that the GPT model generates will be based on the data that you have selected. For example, if you ask a question about sales, the GPT model will generate a visualization that shows sales data. The GPT model will also try to make the visualization as clear and concise as possible.

Natural language querying in Tableau GPT is a powerful tool that can help you to better understand your data. By allowing you to ask questions in natural language, Tableau GPT makes it easier for you to explore your data and find insights.

Here are some examples of natural language queries that you can ask in Tableau GPT:

  • What are the top 10 products by sales?

  • What is the average order size by region?

  • What are the trends in sales over time?

  • What are the relationships between sales and marketing spend?

What are Tableau GPT limitations?

Tableau GPT is a powerful tool, but it has some limitations. Here are some of the limitations of Tableau GPT:

  • It can be difficult to frame your questions in a way that Tableau GPT can understand. Tableau GPT is still under development, and it is not always able to understand natural language queries. If you are not careful, you may ask a question that Tableau GPT cannot understand, and it will not generate a visualization.

  • The visualizations that Tableau GPT generates may not be as clear or concise as you would like. Tableau GPT is still learning how to generate effective visualizations. Sometimes, the visualizations that it generates may not be as clear or concise as you would like.

  • Tableau GPT is not always able to identify all of the insights in your data. Tableau GPT is a powerful tool, but it is not perfect. Sometimes, Tableau GPT may not be able to identify all of the insights in your data.

Overall, Tableau GPT is a powerful tool that can help you to better understand your data. However, it is important to be aware of the limitations of Tableau GPT so that you can use it effectively.

Here are some additional limitations of Tableau GPT:

  • Tableau GPT is not yet available in all languages. Currently, Tableau GPT is only available in English.

  • Tableau GPT can be computationally expensive. The process of generating visualizations using Tableau GPT can be computationally expensive. This means that it may take some time for Tableau GPT to generate a visualization, especially if you are working with large datasets.

  • Tableau GPT is not always able to generate visualizations that are accurate. The accuracy of the visualizations that Tableau GPT generates depends on the quality of the data that you are using. If the data is not accurate, then the visualizations that Tableau GPT generates may not be accurate either.

What is Tableau Pulse?

Tableau GPT and Tableau Pulse are the future of data analytics. In this article you will get cognizant two new features that will transform the way you interact with your data and get insights.

Tableau GPT is a set of capabilities that leverage generative AI to make Tableau smarter, faster, and easier to use. With Tableau GPT, you can:

  1. Get personalized and contextual insights delivered to you in your flow of work, based on your role, preferences, and behavior.

  2. Save time and effort by getting smart suggestions and guidance for data preparation, analysis, and visualization.

  3. Trust the quality and ethics of the AI-powered insights, thanks to the transparent and open design of Tableau GPT.

Tableau Pulse, powered by Tableau GPT, is a new data experience for analytics consumers that will help you stay on top of your business performance and make data-driven decisions. With Tableau Pulse, you can:

  1. Receive timely and relevant insights in the form of notifications, cards, and stories, tailored to your needs and interests.

  2. Explore and interact with your data in a simple and intuitive way, using natural language and voice commands.

  3. Collaborate and share your insights with others, using rich annotations and feedback tools.

Tableau GPT and Tableau Pulse are designed to bring your data to life with AI.

What is Einstein GPT Trust Layer:

The Einstein GPT Trust Layer is a new feature introduced by Salesforce to address the challenges and risks associated with Generative AI. It provides a set of trust and protection services that act as a safeguard, preventing Generative AI from exhibiting unwanted behavior and ensuring data privacy and security.

The Einstein GPT Trust Layer aims to resolve concerns over adopting generative AI. With GPT technology taking the world by storm, it’s no surprise that this seemingly magic technology is raising concerns about where data is retained when it’s sent to an LLM (large language model). The Einstein GPT Trust Layer prevents customer data from being stored outside Salesforce, meaning prompts and responses are not stored by third-party LLM providers, or used to train their model. It also includes features such as encrypted communications, data access checks, and an audit trail to ensure that teams can benefit from generative AI while meeting their compliance needs.

What is Einstein Discovery in Tableau?

  1. Einstein Discovery is a product that brings trusted and transparent predictions and recommendations to anyone.

  2. It is powered by machine learning (ML) and delivers predictions and recommendations within Tableau workflows for smarter decision-making.

  3. Data scientists, analysts, and business users alike can create powerful predictive models without needing to write algorithms.

  4. Developed by Salesforce, Einstein Discovery offers an intuitive, no-code environment that empowers anyone to quickly and confidently make decisions guided by ethical, transparent AI in Tableau.

  5. With Einstein Discovery, you can create trusted, predictive ML models without writing a single line of code.

  6. You can reduce reliance on data science teams with the intuitive model building wizard and model monitoring process and go from data to insights fast so that every decision is a smart, guided one.

  7. Einstein Discovery insights are integrated into your Tableau workflow, so you never need to disrupt your analysis.

  8. Einstein Discovery is designed with five AI ethics principles in mind. With a number of anti-bias and transparency features built-in, you can check the criteria used in Einstein’s predictions and recommendations, so you feel confident in your decisions and trust that you’re using AI responsibly, accurately, and ethically.

What is Augmented analytics:

Tableau Augmented Analytics is a suite of capabilities powered by artificial intelligence (AI) and machine learning (ML) that expands a human’s ability to interact with data at a contextual level. It aims to make analytics accessible to more people, so that they can confidently explore and interact with data to drive meaningful decisions.

Tableau Augmented Analytics offers several features, including Ask Data, Explain Data, Ask Data for Salesforce, and Einstein Discovery for Reports. These features help users to interact with data using natural language, get AI-driven explanations for the value of a data point, and generate AI-powered insights directly within Salesforce Reports.

For example, with Ask Data, users can type a question in natural language and get instant answers in the form of rich data visualizations. This feature helps to bridge the gap between advanced analysts and a broader business audience, allowing anyone to connect and explore data.

Explain Data automatically provides AI-driven explanations for the value of a data point with a single click. Based on advanced statistical models, these explanations are integrated into existing workflows, saving users time and unearthing new understandings about their data that they may not have found otherwise.

Overall, Tableau Augmented Analytics helps organizations leverage their growing amount of data and empower a wider business audience to discover insights.

What is Tableau Explain Data?

Tableau Explain Data is a feature that helps users understand the data in their visualizations by automatically generating explanations for data points. It uses advanced statistical models to surface relationships in the data and recommend where to look next.

Explain Data is designed to be used as an incremental, jumping-off point for further exploration of your data. The possible explanations that it generates help you to see the different values that make up or relate to an analyzed mark in a view. It can tell you about the characteristics of the data points in the data source, and how the data might be related (correlations) using statistical modeling.

Explain Data is not a statistical testing tool, nor is it a tool to prove or disprove hypotheses. It is not giving you an answer or telling you anything about causality in your data. Instead, it is a tool and a workflow that leverages your domain expertise, surfaces relationships in your data, and recommends where to look next. It helps expedite data analysis and make data analysis more accessible to a broader range of users.

What is Tableau Data Stories?

Tableau Data Stories is a feature that automatically generates narrative insights within your Tableau dashboard, saving time and surfacing relevant insights. As you explore the visualizations in your dashboard, the stories written by Data Stories adjust, allowing you to dive deeper into data and identify key insights faster.

Tableau Data Stories is powered by rules-based templated natural language generation (NLG). Data Stories performs automated analytics to determine relevant and accurate facts about the underlying data–from basic calculations to more advanced statistics. To write a story, Data Stories uses a library of predefined language templates to synthesize these facts into natural language insights.

You can quickly add the Data Story object to your dashboard from where you’re already working in Tableau. You can also customize the terms and metrics used in your story, so Data Stories speaks the language used by your business. Today, you can write and view a Tableau Data Story anywhere you use Tableau.

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