Tableau Business Intelligence and Analytics tool

Tableau is a Business Intelligence tool for visually analyzing the data. As a leading data visualization tool, it has many desirable and unique features.

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Introduction – Tableau is a Business Intelligence (BI) tool for visually analyzing the data. It is positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant. Users can create and distribute interactive and shareable dashboards which depict the trends, variations and density of the data in form of graphs and charts. Tableau can connect to files, relational and Big data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is highly used by businesses, academic researchers and many governments to do visual data analysis.

Tableau Introduction
Tableau Introduction

Tableau provides solutions for all kinds of industries, departments, and data environments. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau’s drag and drop interface to visualize any data, explore different views, and even combine multiple databases easily. It does not need any complex scripting. Anyone who understands the business problems can address it with visualization of the relevant data. After analysis, sharing with others is as easy as publishing to Tableau Server.

Tableau Features

As a leading data visualization tool, Tableau has many desirable and unique features. Following are some unique features which enable Tableau to handle diverse scenarios.

  1. Architecture Agnostic: Tableau works in all kinds of devices where data flows. Hence, the user need not worry about specific hardware or software requirements to use Tableau.
  2. Centralized Data: Tableau server provides a centralized place to manage all the organization’s published data sources. You can delete, change permissions, add tags, and manage schedules in one convenient location. It’s easy to schedule extract refreshes and manage them in the data server. Administrators can centrally define a schedule for extracts on the server for both incremental and full refreshes.
  3. Self-Reliant: It does not need a complex software setup. The desktop version which is used by most users is easily installed and has all the features needed to start and complete data analysis.
  4. Speed of Analysis: Any user with access to data can start using it to derive value from the data and it does not need high level of programming expertise.
  5. Real-Time Collaboration: Tableau can filter, sort, and discuss data on the fly and embed a live dashboard in portals like SharePoint site or Salesforce. You can save your view of data and allow colleagues to subscribe to your interactive dashboards so they see the latest data just by refreshing their web browser.
  6. Blend Diverse Data Sets: It allows you to blend different relational, semi-structured and raw data sources in real-time, without expensive up-front integration costs. The users don’t need to know the details of how data is stored.
  7. Visual Discovery: The user explores and analyzes the data by using visual tools like colors, trend lines, charts, and graphs. There is very little script to be written as nearly everything is done by drag and drop.

With this, we finish our basic introduction to Tableau – Business Intelligence and Analytics tool.

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