Introduction
In this blog, we will discuss about Data Visualisation using Tableau. I certainly hope you enjoy learning about Tableau through this blog’s Tableau Tutorial. Tableau is the first term that comes to mind when you discuss data visualisation. This is what I’m saying because you may be reading this Tableau tutorial because you are already aware of its benefits. Due to Tableau’s growing market usage, there is a surge in demand for certification training in this software.
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Data visualization’s Value
The most crucial aspect of data analysis is data visualisation. It has always been crucial to show the facts in a way that is both comprehensible and visually appealing. One of the skills data scientists require to develop is data visualisation in order to communicate with users more effectively.
Data scientists can communicate with their end users by using data visualisation. People who do not work with data directly may not understand the results of data analysis right away. Data visualisation fills in the knowledge gap and helps people understand the potential of data analysis.
Data Visualization Tools
5 tools for data visualisation that are widely used in business intelligence:
- Tableau
- Qlikview
- Domo
- Microsoft power BI
- Excel
Tableau Online Course will enhance you in learning more concepts about Tableau.
Tableau:
The free Tableau data visualisation tool’s basic version can carry out typical activities like:
- analysis of sales data
- monitoring of user density
- customer segmentation
- budgeting expenditure tracking
- Data classification and results based
Excel:
Excel can be used to create scatter plots and cell “heat maps,” among other very advanced visualisations. The restricted default range of colours, lines, and styles make it challenging to produce images that could be used in a reputable journal or website, but as an entry-level tool it can be an excellent method to quickly explore data or generate visualisations for internal use.
Windows Power BI:
A complete overview of your most important data is provided by the cloud-based business intelligence and analytics application Microsoft Power BI.
With scalable dashboards, interactive reports, embedded visualisations, and more, Power BI makes data examination and sharing simple by connecting to all of your data sources.
Domo:
No of their level of technological expertise, all business users may use Domo to make better business decisions.
Business Cloud, the first open, self-service platform to manage a full enterprise, was just released by Domo. Users may get answers to important business questions and make quicker, more informed decisions to improve performance with the help of the Business Cloud, which brings together the data, the people, and the insights they need.
Qlikview:
One of the few visual analytics tools provided by Qlik is the QlikView business discovery platform. Although QlikView can’t produce the same exquisite graphics as the other tools, its dynamic architecture allows for rapid analysis of your data across various dimensions. Also, QlikView may operate using data stored in memory rather than on a disc, enabling real-time operational BI systems (like monitoring financial transactions).
SAP, Oracle, Salesforce.com, and other old data files like Excel spreadsheets are just a few of the many data sources that QlikView can interact with. Also, QlikView can merge these several data sources into a single dashboard or visualisation.
Conclusion
So far, we have enhanced about Data Visualisation using Tableau.
This is how Tableau assisted Datamatics and numerous other businesses around the world.
You should have had fun reading this blog, I hope. I’ll be writing more posts on Tableau in the upcoming days. You will learn how to create accurate dashboards, contribute graphics, and many other things.
To learn more about Tableau concepts, join Tableau Training in Chennai for the best training and 100% placement assistance.