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10 Important Features of Tableau
By Manav Kher | March 30, 2022

Businesses deal with a lot of data, and analyzing it in its raw form is frequently difficult. The quality and accuracy of the datasets you’re working with increase when you present them in attractive graphs, charts, shapes, and plots. Tableau is the most extensively used data visualization application.

Tableau is a data visualization program that allows you to generate basic oriented graph-like data representations by querying cloud databases, spreadsheets, machine learning algorithms, social databases, and other database improvements. So, in this blog, we’ll highlight the 10 most important features of Tableau that help businesses in visualizing better.

1. Informative Dashboards

Tableau Dashboards combine images, visual objects, text, and other components to present a comprehensive view of your data. Dashboards are extremely useful because they may provide data in the form of stories, allow for the inclusion of various views and objects, offer a range of layouts and styles, and allow users to apply appropriate filters. You may even effortlessly duplicate a dashboard or its individual features from one worksheet to another.

2. Supports numerous data sources

You may connect to and fetch data from a variety of data sources using Tableau. Tableau supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data. Any of Tableau’s data sources may be readily connected and combined with data from other sources to generate a combinatorial perspective of data in the form of visuals. Tableau also supports a variety of data connections, including Presto, MemSQL, Google Analytics, Google Sheets, Cloudera, Hadoop, Amazon Athena, Salesforce, SQL Server, Dropbox, and a number of others.

3. Connectivity with Live and In-Memory Data

Tableau offers in-memory data connection to both live and external data sources. This allows the user to freely combine data from several types of data sources. By creating live data connections, you may consume data straight from the data source or maintain data in memory by extracting data from a data source as needed. Tableau offers additional data connections capabilities including automated extract refreshes, notification of a live connection failure, and so forth.

4. Provides Great Security

Tableau takes extra precautions to protect data and users. For data connections and user access, it features a fail-safe security system based on authentication and authorization mechanisms. Tableau also allows you to connect to other security protocols like Active Directory and Kerberos. Tableau employs row-level filtering, which aids in the security of the data.

5. Easy Collaboration & Sharing

Tableau provides easy ways for users to communicate with one another and exchange data in real-time in the form of visualizations, sheets, dashboards, and so on. It enables you to securely communicate data from a variety of data sources, including on-premise, cloud, hybrid, and so on. Instant and simple cooperation and data sharing aid in obtaining immediate assessments or input on data, resulting in a more comprehensive study.

6. Provides a Mobile Version

Tableau recognizes the importance of mobile phones in today’s society and offers a mobile version of the app. Dashboards and reports may be created in a mobile-friendly format. Tableau allows you to adjust mobile layouts for your dashboard based on your mobile device. Customization allows you to add new phone layouts, interactive offline previews, and more. As a result, the mobile view provides Tableau users with a great deal of flexibility and convenience while working with their data on the move.

7. Advanced Visualization Capabilities

Tableau’s wide range of visualizations is one of the primary elements that has contributed to its success. Tableau allows you to create visualizations as simple as a bar chart or a pie chart, as well as more complex ones like a histogram, Gantt chart, Bullet chart, Motion chart, Treemap, Boxplot, and many others. By selecting the visualization type from the Show Me menu, you can simply pick and create any form of visualization.

8. Availability of Maps

The map is yet another key aspect of Tableau. Tableau comes with a lot of pre-installed map data, including cities, postal codes, administrative borders, and so on. As a result, Tableau’s maps are extremely comprehensive and insightful. You may customize the geological layers on the map to meet your needs, and use Tableau to generate meaningful maps with your data. Heat maps, Flow maps, Choropleth maps, Point distribution maps, and more types of maps are accessible in Tableau.

9. The Ask DataTool

Tableau’s Ask data tool has increased its popularity among users all around the world. This tool simplifies data manipulation by allowing us to conduct basic Google searches. Tableau will give you the most relevant replies if you just enter a question about your data in natural language. The responses are presented not just as text but also as graphics. For example, if what you’re looking for is already in a bar graph, the Ask data option will search for it and open it for you right now. Users may simply go deep into data and uncover new insights and patterns thanks to capabilities like these.

10. Trend Lines& Predictive Analysis

The use of time series and forecasting by Tableau is another really useful feature. Creating trend lines and forecasts is straightforward with Tableau’s powerful backend and dynamic front end. To acquire data predictions such as a forecast or a trend line, just pick particular parameters and drag-and-drop operations employing your concerned fields.


Tableau is an excellent program to simplify all your data visualization activities and provide better and more accurate analysis if you’ve ever tried data visualization and found it tough to grasp or too complex.

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The official gear-head of fusionSpan. Manav has over 14 years of enterprise software development experience. Previously he spent 7 years in various lead development and architect roles at the National Cancer Institute (NCI). Notably, he contributed to the architecture and development of some of the core components of the caBIG infrastructure, for which he received the NCI caBIG Outstanding Achievement Award.