Introduction to Uses of Tableau
Tableau is a powerful Data Visualization Tool which is often called as Data Analytics or Business intelligence (BI) Tool. Uses of Tableau contains a different set of processes such as visualization, exploration, and analysis of data and has different uses. Please find the below sections, where Tableau has been used widely and effectively.
Tableau
- Tableau is a Business Intelligence and Analytics Software which gives interactive data visualization views from the product. It was developed by a Software Development Company named Tableau where its’ headquarters is based in Seattle, Washington, United States. It was founded by Pat Hanrahan, Christian Chabot, Chris Stolte. It was founded in the year 2003.
- It is mainly focused on the purpose of Business Intelligence applications. Interactive dashboards can be created by users as per the required customized preference. Different kinds of data sources can be configured to this tool and can be connected. Real-time data can easily be analyzed using this tool. It has been in a top position in the area of Business Intelligence and Data Analytics stream.
Top Uses of Tableau
Below is the list of top uses of Tableau:
1. It provides and fulfills different requirements of the organizational needs
The different types of needs and requirements of the organizations can be fulfilled by Tableau by getting its data analyzed in very depth. The requirement of an organization can be based on the requirement of the client and applications of the product or program or an application.
2. Data can be understood and analyzed well meaningfully
The data from different data sources can easily be analyzed and report can be generated which can be easily understood at first sight. The data will be analyzed in different ways by extracting, loading and transforming. There are multiple methods, steps, and processes where the data can be processed and analyzed.
3. Tableau gives greater visual dashboards easily
The is another kind of process in which uses of Tableau performs the process of data analysis by reducing or summarizing the content or main and key important characteristics of the data sets into a non-redundant information. The visual dashboards in Tableau can give different kinds of representations such as Pictorial representations, Pie Charts, Bar Graphs, tabular or Graphical representations.
4. Supports many Data Sources
There are different kinds of data sources such as different types of data like Structured, Unstructured and Semi-Structured Data. The different data sources can be from multiple types of databases like Oracle, MySQL, IBM DB2, MS SQL, MongoDB, Cassandra, Virtual databases etc.,
5. Supports multiple Database features
Uses of Tableau supports multiple types of database features such as RDBMS, No SQL Databases, Object-oriented Databases, etc., where the data in Relational Database Management System has structured data and No SQL and object-oriented databases are having semi-structured and unstructured data such as JSON, text or document files, etc.,
6. It is easier to handle
The process of handling the different types of data is easier and customizing that data as per the requirement is easier. The process involved in Tableau tool does not involve any kind of programming or coding or designing and it just needs a kind of drag and drops or tool features which is easier to operate and that also involves less learning curve.
7. Has greater community support
Tableau has a lot of great professionals with tremendous knowledge having passionate to learn and work together in supporting the complex issues in case of handling and managing data. Its community forums have different types of user groups, communities, forums and user bases with different cross-functional and technical knowledge to help other users.
8. Best Visual Analysis
The visual analysis can be graphical or any kind of representation that will be easier to understand or that can be understood at first sight of look. This is how the visual analysis depends on the way of representation of data in visual form.
9. Flexible Data Pulling and Analysis
The process of pulling the data and analyze that data from different kinds of data sources is flexible by using the data source configuration feature by connecting to multiple data sources and pulling or crawling that data into the Tableau in order to start processing or analyzing the data.
10. Custom Data Reports Generation
The report generation process can be achieved in a customized way by manipulating the data representation as per the customer or client requirement that makes the life of the customer easier and beneficial in conducting their business applications.
Conclusion
In this uses of Tableau article, we have seen the different areas and multiples areas of applications in the field of Data Analytics and Business Intelligence and also the utilization of Data Visualization tools contain Tableau as the top utilized one which has become as a major one among the top Data Visualization or Analytics tool. This clearly seems that the greater utilization of Tableau tool exists in the area of Data Visualization where there are many numbers of tools available in the current market i.e., in the current era of the digital data world. The huge numbers of tools including third-party tools as well for the data visualization and reporting applications with different functionalities and options to handle the data sources in the Tableau tool. There are multiple data reporting and visualizing features to transform or map after loading the data into the Tableau tool.
The Tableau tool has extensive applications in the area of Data Analytics and Data Visualization which provides greater benefits like Data handling and reducing data redundancy in the shortest execution time dynamically. The day to day increase in the customers’ business needs or customers’ business handling requirements require some Software applications or tools to handle and manage their large-scale customer content data securely, the Tableau tool is the one among the best Business Intelligence and Data Visualization tools available in the market to provide highly complex business solutions easily in a short time without hassles to manage the data transformation functionalities. Also due to increase in the customer base and daily requirements or customer data handling related activities, the Tableau tool has been an ideal solution for many of the businesses in the latest arena of the digital world with a lot of innovations and technology breakthroughs for highly complex data visualization in data reporting.
Recommended Articles
This has a been a guide to the uses of Tableau. Here we have discussed the different uses of Tableau like Flexible Data Pulling and Analysis, Visual Analysis, Supports Data Sources, etc. You may also have a look at the following articles to learn more
