Tableau
What does it do?
- Data Analysis
- Data Visualization
- Business Intelligence
- Predictive Analytics
- Automated Insights
How is it used?
- Use Tableau AI via web app for guided data analysis and insights.
- 1. Utilize Einstein Copilot for Tableau
- 2. Leverage Einstein Trust Layer
- 3. Access Tableau Pulse
- 4. Add Data Stories
Who is it good for?
- Data Analysts
- Data-Driven Decision Makers
- Business Users
- Tableau Dashboard Creators
- Salesforce Users
Details & Features
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Made By
Salesforce -
Released On
2003-10-24
Tableau AI is an analytics platform that uses artificial intelligence to simplify data analysis and provide insights for users across organizations. This tool aims to reduce repetitive tasks for data analysts while offering business users easy-to-understand, personalized insights within their regular workflow.
Key features:
- Einstein Copilot for Tableau: An AI assistant that guides users through data exploration, identifies trends and patterns, and provides best practices for content creation within Tableau.
- Einstein Trust Layer: A security framework that addresses concerns related to generative AI adoption by enabling customers to meet enterprise data security and compliance requirements.
- Tableau Pulse: A reimagined data experience for business users that presents automated analytics in plain language, anticipates user questions, and suggests additional inquiries.
- Data Stories: Automated, plain-language explanations that can be quickly added to dashboards.
- Explain Data: Dynamic visualizations that enable deeper exploration and discovery of the reasons behind insights.
- Einstein Discovery in Tableau: Transparent predictions and recommendations accessible to all users.
How it works:
1. Users interact with Tableau AI through various tools and interfaces integrated into the Tableau Platform.
2. Einstein Copilot for Tableau provides AI-driven guidance during data exploration and content creation.
3. The Einstein Trust Layer ensures data security and privacy while using generative AI features.
4. Tableau Pulse delivers smart, personalized, and contextual insights to users.
5. Users can add Data Stories to dashboards for automated explanations.
6. Explain Data enables dynamic visualizations for deeper exploration.
7. Einstein Discovery in Tableau offers trusted predictions and recommendations.
Integrations:
Salesforce, Forrester
Use of AI:
Tableau AI incorporates generative artificial intelligence to democratize data analysis and simplify insights consumption at scale. It uses AI to guide users, uncover trends, provide recommendations, and generate automated explanations.
AI foundation model:
Tableau AI is built on the Einstein Trust Layer, which ensures trusted, ethical, and open AI-powered experiences. The specific AI foundation model or LLM used is not explicitly mentioned.
Target users:
- Data analysts
- Business users
- Administrators
How to access:
Tableau AI is available as a web app and is part of the Tableau Platform.
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Supported ecosystemsSalesforce, Apple, iOS, Android, Google, Salesforce, iOS, Apple, Android, Google
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What does it do?Data Analysis, Data Visualization, Business Intelligence, Predictive Analytics, Automated Insights
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Who is it good for?Data Analysts, Data-Driven Decision Makers, Business Users, Tableau Dashboard Creators, Salesforce Users