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Top 10 Reasons Why Tableau is a necessity for Business

4 Mins read

Why Tableau is a necessity for Business? Due to the proliferation of the internet, data is increasing day by day. Thanks to the advent of Business Intelligence tools that help to manage vast amounts of data. One of the most popular tools that fall under this category is Tableau. Learn about the Introduction of Tableau Software

Why Tableau is a necessity for Business Intelligence

Tableau is the best visualization tool used by Business Intelligence Analysts to preform Analytics. It helps in simplifying the raw data and turns it into powerful business insights. It is the best tool for analytics and has made its mark in Gartner’s Magic Quadrant by continuously leading BI tools for 7 years.

Why Tableau is a Necessity for Business

Let us discuss why Tableau is a necessity for business?

  • Best for Data Science

The primary process of simplifying the raw data for which the data scientists spend 80% of the time, is performed by Tableau within minutes. In this world of Big data, Data scientists are always in need of the best tool for their analysis purposes. Very few tools have the capability of handling vast amounts of data. It can handle massive amounts of Data and can simplify raw data to build meaningful and interactive visualizations. Check out 101 Tableau Interview Questions and Answers.

  • Easy to learn

Tableau has a Drag and Drop interface. Anyone, without the knowledge of coding, can build interactive Dashboards. Most of the work of simplification of raw data, pulling data from different data sources, auto-updating of data and a lot more process is taken care of automatically by them. Thus, It is very easy to learn and adopt in use.

  • Applications to all Business

The need to run a successful business is different for every organization. It can alter the process of analytics and answer the Business questions curated for each organization. It provides multiple options for many types of business. Data can be pulled from any source and can be shared on any platform with the help of Tableau. It can be used by students, organizations, and any professional for analysis.

  • Do not need Coding

If you do not have any coding knowledge, still you can use Tableau with ease. It supports drag and drops functionality, which helps in performing all the tasks very quickly. It supports the programming languages like R or Python for data scientists. It possesses many built-in tables to perform calculations within a few clicks rather than lengthy and time-consuming calculations.

  • Explanation of Data is Easy

Data can be anything – from numeric to alphanumeric to alphabetic. It is the skill of a data analyst to draw powerful insights from data. Once the language of data is known to a person, it is easy for him to draw insights from it. But when it comes to explaining that the data is speaking, it is often very problematic as you cannot just show the alphanumeric data and claim your insights. To rescue you at these times, software like It build compelling and interactive visuals like graphs or charts to make people understand the language of data.

  • Interactive Visualizations

Tableau can build stunning and interactive visualization from the data by a simple drag and drop functionality. You can apply ordinary filters and turn your best and outstanding visuals into an interactive one that depicts real-time data insights. Tableau can be connected to around 40+ data sources and is capable of auto-reloading the data on a timely basis. This feature provides you with updated visuals every time.

  • Handle Huge amount of Data

Tableau is capable of handling massive amounts of data like millions of rows without affecting its speed of performance. It can be said that Tableau has no storage limit – it can feel any amount of data. This capability of handling vast amounts of data makes Tableau one of the best Business Intelligence tools. With this vast amount of data, it can prepare interactive dashboards.

  • Integrates with Scripting Language

Most of the operations in Tableau are done by itself or just by few clicks. It helps in simplifying the raw data which helps in data preparing and blending, drag and drop feature for creating visualizations, calculation tables are pre-defined to perform calculations within few seconds on the data; but still, if all this is insufficient and you want to perform some complex calculations on the data Tableau is well integrated with scripting languages such as R and Python that helps in performing any complex type of calculations without any difficulty.

  • Mobile-Friendly Dashboard

Tableau dashboards can be shared with various devices such as mobiles, laptops, tablets, and more. You just have to possess Tableau Reader installed along with your login credentials to have access to the dashboards. You do not need to follow additional steps to make your Tableau Mobile friendly and thus you can easily analyze and view your workbooks and dashboards from anywhere at any time with the help of Tableau.

  • Fast Analytics

When working with other tools than Tableau, you spend hours to make it interactive by loading and preloading the data every time, but with Tableau what matters the most is its speed by which it performs analytics on the raw data and building powerful and interactive visuals.

  • Real-Time Data Exploration

It can easily be connected to over 40+ data sources. The data is pulled from all these data sources and combined in Tableau continuously. Once a visual is created with a particular amount of data you do not have to rebuild it whenever the new data arrives. Thus, real-time exploration of data is possible with Tableau as it adjusts its visual every time by auto-updating the data.

  • Data Connections

Tableau provides easy to connect with any type of Data sources from files to databases to big data warehouses. You can perform multiple operations on them to get your data into the desired form. It can connect to over 40+ data sources. The following are some examples:

    • File-based data sources like text, spatial and Excel
    • Frameworks of Big Data like Spark & Hadoop
    • Web applications like Google Analytics
    • Relational Databases like SQL
    • Cloud-based data warehouses like Amazon
    • Web data connectors like data warehouses

Read more: Different Data Types in Tableau

  • The Community

Millions of people contribute to the community. The Tableau community is a vast platform for people to help their learnings and experiences. Like-minded people come together for a cause of the betterment of the learning experience of Tableau. Many people ask questions if they are facing any difficulty, and if the fellow member can solve the problem, he answers that. In this way, the process of healthy learning helps to build Tableau better.

The above stated points reasonably justify why Tableau is a must and why it should be included for organizations.

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