Smart Analytics

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.

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.

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.

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.

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 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.

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.

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.

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.