6 Features You Should Know About Tableau

Learn Tableau features that will boost your productivity, enhance data governance, and make data insights more scalable across your organization.

Whether you’re a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z. Get a quick look at tools and techniques of this dynamic data visualization platform, and uncover tips, tricks, and strategies that will propel how you work with data to create impactful visualizations and make informed decisions.


Instant access to the best analytic solutions
Tableau Accelerators are ready-to-use dashboards that you can combine with your data and customize to fit your needs to help you get to data-driven insights faster. They allow you to accelerate time to value with ready-to-use and fully customizable dashboards for your unique use case, regardless of industry, department, or function. You can leverage our best practices to address 100+ use cases today. And that’s not all; you can also expand and extend accelerators with your own data sets and partner solutions.


Easily group data points to simplify analysis
Bins in Tableau group continuous data into discrete intervals, making it easier for you to visualize and analyze data through histograms and other distribution displays. They help transform complex datasets into easily interpretable patterns so you can intuitively create continuous measure groupings without writing lengthy IF statements. You can create histograms from binned dimensions to quickly see the distribution of data.


Enhanced data trust, visibility, and discoverability
Tableau Catalog automatically catalogs all your data assets and sources into one central list and provides metadata in context for fast data discovery. It also helps you understand data lineage and integrates features like lineage, impact analysis, data dictionary, data quality warnings, and search into your Tableau applications, helping solve these problems differently from a stand-alone catalog. Included with Data Management.

Data Stories

Natural language insights from your data
Data Stories is a really great tool that can help you save valuable time and resources by summarizing key insights in a clear and concise manner. With its advanced features, you can easily add automated plain-language explanations to your dashboards in just a few seconds. It was designed specifically for business users, so Data Stories provides an easy-to-understand experience that is tailored to your needs. It also proactively surfaces relevant insights that may have been overlooked, making sure that you always stay on top of your game. Whether you’re an analyst or a business owner, Data Stories is the perfect solution for anyone looking to streamline their workflow and gain valuable insights into their data. 

Explain Data

Discover the “why” in your data
Data exploration can be a complicated and time-consuming process, but Explain Data makes it easy to uncover and describe relationships in your data. By giving you the ability to inspect and locate key data points, you can quickly and seamlessly dive deeper into the marks in a visualization. With just a single click, Explain Data can provide AI-driven answers and easy-to-understand explanations for the value of any data point. Also, this tool offers interactive visualizations, which means you can explore your data in a more intuitive and engaging way.

Forecasting & Predictive Modeling

Improve decisions with predicted future trends
Tableau allows analysts to create predictive models native to the platform. With native predictive modeling, you can create a model that understands how your data is distributed around a trend line in your viz. In addition, analysts can leverage these functions within table calculations to gain deeper insights into their data. Using exponential smoothing, you can generate forecasts for any data set with date dimensions. You can also use our automatic model, specify an additive or multiplicative model, and use predictive modeling in table calculations.

Credit: Kuber Sharma, Director, Product Marketing, Tableau 4/22/2023