Automate Marketing Initiatives with Salesforce Marketing Cloud Learn More

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 AWS, 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 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.

A place for big ideas.

Reimagine organizational performance while delivering a delightful experience through optimized operations.


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.

Top Stories

Enhancing GraphQL with Roles and Permissions
Enhancing GraphQL with Roles and Permissions
GraphQL has gained popularity due to its flexibility and efficiency in fetching data from the server. However, with great power comes great responsibility, especially when it comes to managing access to sensitive data. In this article, we'll explore how to implement roles and permissions in GraphQL APIs to ensure that
Exploring GraphQL with FastAPI A Practical Guide to begin with
Exploring GraphQL with FastAPI: A Practical Guide to begin with
GraphQL serves as a language for asking questions to APIs and as a tool for getting answers from existing data. It's like a translator that helps your application talk to databases and other systems. When you use GraphQL, you're like a detective asking for specific clues – you only get
Train tensorflow object detection model with custom data
Train Tensorflow Object Detection Model With Custom Data
In this article, we'll show you how to make your own tool that can recognize things in pictures. It's called an object detection model, and we'll use TensorFlow to teach it. We'll explain each step clearly, from gathering pictures, preparing data to telling the model what to look for in
Software Development Team
How to deploy chat completion model over EC2?
The Chat Completion model revolutionizes conversational experiences by proficiently generating responses derived from given contexts and inquiries. This innovative system harnesses the power of the Mistral-7B-Instruct-v0.2 model, renowned for its sophisticated natural language processing capabilities. The model can be accessed via Hugging Face at – on a dedicated GPU server g4dn.2xlarge,
How to deploy multilingual embedding model over EC2
How to deploy multilingual embedding model over EC2?
The multilingual embedding model represents a state-of-the-art solution designed to produce embeddings tailored explicitly for chat responses. By aligning paragraph embeddings, it ensures that the resulting replies are not only contextually relevant but also coherent. This is achieved through leveraging the advanced capabilities of the BAAI/bge-m3 model, widely recognized for
Tracking and Analyzing E commerce Performance with Odoo Analytics
Tracking and Analyzing E-commerce Performance with Odoo Analytics
Odoo is famous for its customizable nature. Businesses from around the world choose Odoo because of its scalability and modality. Regardless of the business size, Odoo can cater to the unique and diverse needs of any company. Odoo has proven its capacity and robust quality in terms of helping businesses


          Keep an eye on your inbox for the PDF, it's on its way!

          If you don't see it in your inbox, don't forget to give your junk folder a quick peek. Just in case.

              You have successfully subscribed to the newsletter

              There was an error while trying to send your request. Please try again.

              Zehntech will use the information you provide on this form to be in touch with you and to provide updates and marketing.