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4 Reasons Why Tableau Is The Best Tool For Data Visualization

Data visualization tool Tableau is widely used by the Business Intelligence industry. Simple visualizations are provided by Tableau that makes raw data easier to understand. Therefore, in an organization, Tableau makes it easier for professionals at all levels to comprehend data.

Moreover, there’s no need to have technical skills or any coding knowledge to use Tableau. The tool has attracted interest from a range of sectors, including the business world, researchers, different industries, and so forth.

Why should you use Tableau?


Connecting and extracting data from many sources is what Tableau does. Further, there is no limit to how many platforms it can draw data from. There are a variety of ways to extract data with Tableau, including from a spreadsheet, a PDF, an Oracle database, a cloud database, including Amazon Web Services, Microsoft Azure SQL, or Google Cloud SQL.

These advantages are a few of the many advantages that Tableau provides to its users. Following are the game-changing advantages that have changed the dynamics of businesses by providing seamless and top-notch data visualization services.

The Ability To Experiment With New Features
Analysts often have difficulty experimenting with new features since they are left guessing exactly what is happening and what are they actually doing. Hence, any meaningful progress in the field requires a lengthy research process.

Your analysts will be able to test new concepts, drill into interesting topics, and update quickly using Tableau’s drag-and-drop functionality. Due to the fact that dashboards can be explored and visualized rapidly, they provide valuable and relevant information to the analyst and therefore the business. The Tableau intuitive interface allows analysts to focus their time looking for deeper meaning, rather than dealing with technical details.

Moreover, the addition of dimensions, measurement filters, and grouping of values, as well as drilling into outliers, are all easily performed using the drag and drop option on Tableau. It’s also easy to find patterns in your data by using advanced features such as clustering, trend analysis, and average lines.

Further, business needs may change quickly and frequently, so your report needs to be easily adaptable. With Tableau, reports are easily developed and elements can be changed according to requirements.

Finally, with visualization, insights can be obtained more quickly, and opportunities for improvement can be identified more easily. In addition to color-coding and clustering, Tableau supports a wide range of chart types and encodings as well which makes a more comprehensive dashboard experience.

Share Updated Dashboards
Typically, dashboards are sent as PDFs via email as static presentations. So, it can be difficult to find another dashboard or older version for comparison when all the emails or files are scattered in the inbox or on a computer.

Using Tableau Server, you can host your company’s dashboards in one location. In this tool, dashboards can be shared automatically with stakeholders, the views of stakeholders can be favorited and comments can be added, and dashboards can be formatted in the browser whenever needed.

Getting access to your company’s data sources is available right inside a Tableau dashboard. Your dashboard will then be updated on a constant basis with the most recent data uploaded over Tableau Server. So, using Tableau Server, dashboards are automated for you, so you don’t have to rebuild them each time.

Preparation Of Data Is Quicker and Easier
Reports that enable stakeholders to make timely and accurate decisions are the most useful reports. A good report creator should select and render accurate information so that stakeholders can have confidence in their results.

It is time-consuming and potentially error-prone to collect, prepare, and combine data manually. Data can be formatted quickly with Tableau, as it comes with built-in data connections.

The less time your analysts spend on data preparation, the more time they have to analyze data and come up with insights.

Tableau supports a wide range of data sources like Excel, Microsoft Access, databases, and online services such as Google Analytics and Salesforce.com. A combined data source can be created even when columns with the same name appear in multiple files. With the wide range of connections, multiple sources of data can automatically be brought together in one place.

By combining the data within Tableau, you can create a centralized view rather than having to search through multiple separate reports.

The calculation builder in Tableau makes it simple and fast for analysts to explore their data in new ways. To have new fields automatically added to every row, you don’t need IT or data engineering assistance. The friendly naming feature in Tableau lets you create an arbitrary value without having to change the underlying data. Whenever there is a common field between two data sources, Tableau will automatically link them together. Analysts may perform in-depth analyses with the help of these features.

When using Excel, large amounts of data can be difficult to manage. However, data can be brought in and analyzed using Tableau in millions of rows without a row limit. You also won’t have to worry about long processing times since it has been designed for large amounts of data. As a result, you’ll have a more comprehensive picture of your organization without having to spend too many resources on it.

A Large Online Community And Consistent Improvement
The Tableau community consists of passionate, enthusiastic individuals who want to impart their knowledge. This is why Tableau is continuously seeking innovative ways to satisfy the needs of its customers.

Conclusion
Data-driven businesses generate a great deal of data, but becoming successful requires a thorough understanding of that data and how to process it. Using Tableau Software for the visualization of data can help your business turn a massive stream of data into actionable information. You may be at a competitive disadvantage if you allow data to pass through without further analysis. Therefore, data visualization with Tableau becomes immensely important for your business to prosper.

Mitisha Agrawal

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Mitisha Agrawal

Mitisha Agrawal

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