Data Science

Three Data Visualization Tools You Must Know

2 min read

Through Big data analytics, hidden patterns and correlations can be uncovered, which drives business growth and success. Therefore, all major corporations attempt to maintain their competitiveness through frequent and in-depth data analysis and visualization.

Data Analysts are in hot demand. To become an invaluable asset for employers, there are 3 data visualization tools you must know.  

1) SAS

SAS is a software suite for advanced analytics, business intelligence, and data management that is used by a variety of large enterprises. It makes analytics accessible to anyone seeking insights from data through a rich interface, and easily handles analytical problems of any size or complexity.

The downside of SAS, though, is that it is difficult to learn and has a deep learning curve. Also, think twice whether you are willing to invest your financial resources to purchase the pricey software before dedicating yourself to learning SAS.

2) Microsoft Power BI

Power BI is a cloud-based business analytics service, enabling anyone to visualize and analyze data with greater speed, efficiency, and understanding. With more than 20 built-in visual effects, Power BI is an effective tool to make rich visual charts. A personalized dashboard with a unique, 360-degree view of a business can be created to obtain insights throughout the organization.

The function of Mobile Alert allows immediate notification, so management can catch up with updates and make highly-informed decisions in time.

3) Tableau

Although Excel helps make sense of the data and allows for a quick table configuration, Powerpoint is usually used together to present the data in a more visual and understandable way.

With a direct connection to the database, Tableau can display data in a meaningful way through interactive data visualization. Tableau is user-friendly and has a relatively low start-up cost. With the affordable purchase of a license, you are good to go!

We are living in a new world of analytics. To stand out in the Big Data Labour market, having full knowledge of analytical software will certainly put you in a favorable position.


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