When it came to the creation of dashboards, Microsoft Excel was formerly the go-to application for most companies all over the globe.
Tableau has emerged as the industry standard for creating dashboards and doing data visualization activities, surpassing the capabilities of Microsoft Excel in the process.
This is due to the present situation of the business. Let’s look at some of the factors for this change in preference.
Humans come into contact with data in numbers that are measured in zettabytes and yottabytes on a daily basis! It is not possible to get rid of such a massive volume of data.
Tableau is used by companies to glean valuable data insights and concealed trends in order to improve the efficiency of their business operations.
Data analysis and visualization are two processes that need to be carried out before useful insights can be gleaned from data and interesting perspectives can be discovered.
Introduction to Tableau
Tableau is a data visualization tool that sees widespread adoption and use. It lends a hand in transforming data that is not organized into a manner that can be readily comprehended by the user.
With Tableau’s assistance, visualization may be accomplished in a prompt and effective manner thanks to the program’s ability to provide representations in the form of dashboards and spreadsheets.
The role of tableau bi developer is quickly becoming one of the most sought-after job titles in the modern economy as a result of the potential and appeal of the position.
Tableau visualizes your data. It seems straightforward. However, this does not always prevent the riskiest things from becoming. Additionally, it gives you the ability to search, underline, filter, and dig down into your data using a dashboard that is user-friendly and dynamic.
If you organize your dashboard in such a way that it is easy to read at a glance, you will be able to see possibilities, alter your strategy, and determine the underlying reason for prospective problems.
- Attaches to Numerous data sources
When it comes to connecting to various sources of data, Tableau is an extremely powerful tool. It may establish connections to a diverse range of data sources, including SQL databases, Excel files, delimited text files, and so on.
Not only that, but it is able to access numerous sources concurrently, and it can also generate joined tables from the individual tables based on what the end-user requires. This capacity is light years ahead of everything MS Excel offers its end users in terms of functionality.
- Analytical transparency
Dashboards built using Tableau will connect to your data and show it using features such as maps, graphs, and charts. You’ll be able to evaluate enormous volumes of data while warding off data overload with the assistance of this.
- Interact data
Users of Tableau are able to graphically engage with data in order to identify insights more quickly and make important choices that help them serve customers more effectively, develop products, or even save lives.
Watch the video that is above to get an idea of what some of our clients are doing using Tableau and Excel, as well as how this potent combination is affecting the way their organizations operate.
Tableau bi developer responsibilities and roles
A Tableau Developer is primarily responsible for the following duties and responsibilities:
- Tableau was used to assist in the process of creating graphics for the data that was extracted.
- The process of examining data in order to search for trends and draw conclusions from it.
- Designing dashboards
- Tableau Server Administration
- Managing massive data
- Altering SQL queries in order to get better performance
- Identifying problems in operational procedures and developing solutions to fix them
- Locating the most important areas of automation in order to ensure seamless operation of the business processes
- Creating supplementary papers or reports for the completed project as a reference.
- Gather, clean, and organize the data in preparation for analysis and visualization
- Tableau is a platform that you need to manage and use so that you can get useful insights from it.
- Prepare reports by using a variety of approaches to visualization and data modeling