Data analysis software is used to access massive quantities of data and analyze it, enabling you to gain insights and decide on the most appropriate course of action. It’s different from business intelligence tools as it’s able to process and run complex formulas quicker, ensuring that you get the most out of the data you have.
The most widely used software used to analyze data includes Excel, Python, R, Looker, RapidMiner, and Chartio. These platforms let you visualize data by creating charts, graphs and maps. They also aid in the interpretation of information. These platforms are also great for democratizing analytics, as they allow access to all team members regardless of their skills.
Another popular tool for analyzing data is the free, open-source software Python. It is renowned for its readability, versatility and ability to analyze data. Python can also be used with a wide range of other programming languages which makes it a great option for teams with varying level of experience.
MATLAB is among the most popular engineering analysis software and it’s not without reason. It’s a versatile platform that offers a lot of analytical capabilities for any engineering task, and is capable of working with structured as well as unstructured data. It can also assist with top business development consulting firms mathematical modeling and machine learning.
Tableau is the most highly-rated analytics software, with a score of 4.5 stars on Capterra and 4.2 on G2Crowd. It’s a very intuitive platform that can handle all sizes of data, and can create custom dashboards in real-time. It’s also suitable for a range of industries and offers enterprise and self-service options.