Why Data Visualization Is an Important Skill for a Data Analyst

From collecting data to etch out recognizable patterns and finding actionable insights the job of a data analyst has many facets to it. But all of it is done with one goal in mind that is reducing risk and enhancing profits. So, basically whatever the analyst does has to mature through the hands of the executives. This is what makes data visualization so important.

The fundamental purpose of data visualization

There two basic reasons why data visualization is absolutely necessary.

1. Without an untrammelled visual of the data it is impossible for the analyst to truly the judge the possibilities held by it. Suppose an analyst is handling the data regarding the performance of a product in the market during a certain span of time. It is only after laying down the data on a visualization platform that the analyst can realize the subtle nuances involved in the analysis.
2. As said earlier, the stake holder needs to understand and internalize your findings or else the analysis goes in vain. The best way to call the stakeholders to action is to present a great visualization. You must turn your findings into a story that everyone understands. Then only you can expect them to act upon it thus solidifying your position in the company.

It is what makes the difference

A good data analyst is not one who knows a lot of tools and technology it is one who can drive action and enhance profitability. Your visualization speaks for your performance. So, while learning the analytics tools like R, Hadoop, and SQL are important mastering data visualization skills is something you cannot live without.

Tableau can be the best weapon in your armoury

The business intelligence and analytics tool Tableau has helped thousands of analysts improve their game. It just allows you to do more and achieve more in less time. Let us look at a few pointers that tell us why Tableau is such a game changer.

• Tableau decreases the time spent in data preparation significantly thus affording you more time for analysis.
• The filters and segmentations afforded by Tableau are brilliantly suited for understanding data. The stakeholder can easily move through various data ranges – different timelines, places and departments – to get a better understanding of the report.
• You can shuffle through different chart types and graphs to get the most suitable representation with just a click.
• Tableau is a singular repository for all your data from different data sources. It is much like a one stop solution for your data analytics needs.

The advantages of using Tableau are quite obvious. Analysts and enterprise owners around the world have chosen Tableau as their favourite tool. Tableau training institutes in Bangalore have helped hundreds of aspiring analysts pursue their dream careers.

You cannot really stop talking about Tableau when it comes to data visualization. It is simply the best in the business as far as business intelligence and analytics is concerned.