Smart Analytics

Organizations are looking for new technologies that help more people do sophisticated analysis. At Tableau, we’re investing in analytical capabilities that help anyone—from data scientists to business users—get to answers faster and uncover unanticipated insights through machine learning, statistics, natural language, and smart data prep.

Ask Data

With Ask Data, you can use natural language to ask questions and instantly get a response right in Tableau. Answers come in the form of rich data visualizations with no need to understand the structure of your data, so you can get to your answers faster.

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Explain Data

Explain Data helps accelerate your analytics by leveraging the power of AI to explain specific points in your data. Based on advanced statistical models, you are presented with a focused set of explanations so you avoid spending time chasing answers that aren’t there.

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Statistical Model Integration

Tableau not only connects to file outputs from MATLAB, R, SAS, and SPSS as data sources, but supports direct integration with R and Python. Run code directly inside Tableau, as well as visualize and manipulate model results from predictive services such as Rserve and TabPy.

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Insight to action—even faster

Doug Henschen of Constellation Research and Francois Ajenstat, Tableau Chief Product Officer, discuss smart analytics trends in this interview. Building upon the analytical richness of the Tableau platform, our built-in smart capabilities are designed to both lower the barrier to entry to analytical processes and help advanced users ask more sophisticated questions.

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Automated Data Discovery

We’re packaging up powerful algorithms and statistical models in an approachable way, giving our customers new superpowers, and reducing the burden when analyzing complex datasets.

Explain Data

Explain Data helps accelerate your analytics by leveraging the power of AI to explain specific points in your data. Based on advanced statistical models, you are presented with a focused set of explanations so you avoid spending time chasing answers that aren’t there.

Clustering

Automatic clustering is a drag-and-drop function in Tableau, allowing anyone to use a built-in k-means clustering model to find statistically significant groupings in data that might not have otherwise been seen.

More resources

  • Blog: Uncover patterns in your data with Tableau 10's clustering feature
  • Blog: What is clustering, and why use it?

Natural Language

Interacting with data using natural language lowers the barrier of entry to insights, helping people answer their questions more quickly without deep, technical data expertise.

Natural language processing

Tableau introduced Ask Data for Tableau Server and Online in Tableau's 2019.1 release. With Ask Data, you can use natural language to ask questions and instantly get a response right in Tableau. Answers come in the form of rich data visualizations with no need to understand the structure of your data, so you can get to your answers faster. Fully integrated in the Tableau platform, Ask Data works with existing data sources with no additional set up needed. Check out an interactive Ask Data demo.

Natural language generation

Bring natural language generation capabilities to your dashboards through our NLG partners including Narrative Science, Automated Insights, and ARRIA. Leveraging Tableau's APIs, these technologies automatically generate text-based descriptions of visualizations to help customers extract more meaning from their data.

More resources

  • Webinar: BI Trend #3: Natural language processing (NLP)
  • Blog: Bringing the power of natural language to Tableau
  • Blog: 2018 Retail trends in-focus—Natural Language Generation augments visual analytics

  • Webinar: Achieving deep insight: Written analytics + visual analytics
  • Webinar: Role-based NLG makes everyone a data expert
  • Webinar: The rise of NLG in financial services

Smart Data Prep

With powerful machine learning, we’ve made self-service data prep more automatic in Tableau. By reducing the amount of manual work needed to combine, shape, and clean data, everyone can get the most from their data faster.

Data interpreter

Data Interpreter helps everyone get to analysis faster by automatically detecting sub-tables, removing unique formatting, and allowing users to quickly and easily pivot and split data from spreadsheets, PDFs, and more.

Fuzzy matching

Fuzzy matching indexes and groups related words by pronunciation or common characters in one click. Powerful algorithms work behind the scenes to help users prep data faster, minimizing manual cleanup.

Smart recommendations

Start your analysis faster with the right data. Tableau uses machine learning to recommend database tables and joins based on your organization's data source usage metrics.

More resources
  • Webinar: Dirty Data is Costing You
  • Blog: Tableau Prep (Project Maestro) is here: Redefining your data prep experience
  • Blog: New to Tableau Prep? Start with these five fundamentals
  • Whitepaper: Best practices for tidy data using Tableau Prep
  • Product: Tableau Prep, a new data prep solution
  • Blog: Introducing recommended tables and smart joins in Tableau 10.3

Predictive Analytics

By packaging powerful predictive models into an easy-to-use experience, we’re bringing predictive capabilities to more people, helping them anticipate changes in their business.

Forecasting

Predict where your business is going. Simply drag and drop to generate a forecast. Tableau automatically selects the forecasting model based on the data, and accounts for seasonality with exponential smoothing.

Statistical model integration

Tableau not only connects to file outputs from MATLAB, R, SAS, and SPSS as data sources, but supports direct integration with R and Python. Run code directly inside Tableau, as well as visualize and manipulate model results from predictive services such as Rserve and TabPy. With statistical model integration, it’s easy for anyone to leverage models built by your data science team.

More resources

  • Blog: Put your MATLAB models and algorithms to work in Tableau
  • Blog: Building advanced analytics applications with TabPy
  • Blog: How to use Tableau with SQL Server on R and Python

Explore more content

Webinars

Trust, transparency and the opportunity of artificial intelligence

Hear directly from product leads from both Tableau and AWS on how machine learning will be driven by trust and transparency.

Whitepapers

Artificial Intelligence and the Analyst: Redefining roles in the age of augmented analytics

Explore how machine learning is transforming the way we work, particularly in the realm of data analytics.

Webinars

Ask Data: Setting users up for success from data curation to scaling

Explore this deep dive webinar into our new natural language product in Tableau that opens up data analysis across your organization.