Organizations are looking for 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, we are making analytics more approachable to users of all skill levels.
In this report from technology research and advisory firm Constellation Research, Vice President and Principal Analyst Doug Henschen looks at Tableau’s intelligent data prep, automated data discovery, recommendations, and natural language investments.
View our webinar with Doug Henschen of Constellation Research and members of our natural language, data prep, and artificial intelligence engineering teams. Learn more about emerging smart technologies in analytics and how Tableau is helping to drive these features forward.
Insight to action—even faster
Doug Henschen (Constellation Research) and Francois Ajenstat (Tableau) 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.Watch now
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.
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.
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.
Natural language generation
Bring natural language generation capabilities to your dashboards through our NLG partners including Narrative Science and Automated Insights. Leveraging Tableau's APIs, these technologies automatically generate text-based descriptions of visualizations to help customers extract more meaning from their data.
Natural language processing
With our acquisition of ClearGraph, our work in the areas of smart data discovery, semantics, and data analysis will enable users to ask simple questions of their data with natural language, discovering new insights faster.
Learn faster at Tableau Conference
Attend Tableau Conference 2018 in New Orleans this fall to learn more about our investments in machine learning, natural language processing, and more—and hear from our customers on how smart analytics are transforming their business.Join us at Tableau Conference