Top 05 Uses of Tableau

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What is Tableau?

Tableau is a powerful Data Visualization tool, sometimes known as Data Analytics or Business Intelligence (BI) software. Tableau has a variety of functions and includes a variety of activities such as data visualization, exploration, and analysis. Please see the sections below for examples of where Tableau has been utilized extensively and effectively. FITA Academy offers the best Tableau Training in Chennai with Placement Assistance.

  1. It satisfies and caters for a variety of organizational needs.

Tableau can meet a variety of organizational demands and requirements by thoroughly analyzing its data. An organization's demand might be based on the client's requirement and the product, programme, or application's applications.

  1. Data may be easily comprehended and evaluated in a meaningful way.

Data from many data sources may be simply evaluated, and reports can be generated that are simple to understand at first glance. Extraction, loading, and transformation will be used to analyze the data in various ways. The data can be processed and analyzed using a variety of methods, procedures, and processes.

  1. Tableau makes it simple to create more visual dashboards.

Another type of method in which Tableau is used to undertake data analysis by reducing or summarizing the content or major and key important aspects of data sets into non-redundant data. Tableau's visual dashboards can present data in a variety of ways, including pictorial representations, pie charts, bar graphs, tabular or graphical representations.

  1. Supports a wide range of data sources

Different types of data, such as structured, unstructured, and semi-structured data, are available from various data sources. Different types of databases, such as Oracle, MySQL, MS SQL, MongoDB, Cassandra, Virtual databases, IBM DB2, and so on, can be used as data sources.

  1. Supports a wide range of database features

Tableau supports a variety of database features, including RDBMS, No SQL Databases, Object-oriented Databases, and so on, with structured data in Relational Database Management Systems and semi-structured and unstructured data in No SQL and object-oriented databases, such as JSON, text or document files, and so on.

Conclusion:

In this article, we've looked at the various areas and multiple areas of applications in the field of Data Analytics and Business Intelligence, as well as the use of Data Visualization tools, with Tableau being the most widely used and a major player among the top Data Visualization or Analytics tools. Tableau Training in Bangalore at FITA Academy will enhance your technical skills.