What Types of Data Analysis Software Are Available?
Data analysis software is used to access large stores of data and make sense of it, allowing you to derive insights and decide on the best path to take. It’s different from tools for business intelligence because it’s typically able to take in and run complex formulas quicker, which means you can get the most from your data.
Excel, Python R, Looker RapidMiner and Chartio are among the most popular software programs to analyze data. These platforms enable you to visualize data, by creating charts graphs, maps, and applications to help you understand data. These platforms are also excellent for making analytics more accessible, since they are accessible to everyone on the team regardless of their skills.
Python is an open-source program that is free that’s popular for analyzing data. It is renowned for its readability and versatility which makes it an excellent option for data analysis due to its many libraries of resources. Python can also be used in conjunction with a wide range of other programming languages making it an ideal option for teams with varying levels of experience.
MATLAB is a renowned engineering analysis software and for good reason. It’s a versatile tool that has a wide range of analytical capability for any engineering task, and is able to work with both structured and unstructured data. It can also support mathematical modeling and machine learning.
Tableau is the top-rated analytics software, with a score of 4.5 stars on Capterra and 4.2 on G2Crowd. It’s a nimble platform, which can handle any amount of data and allow the creation of customizable, real-time dashboards. It’s also suitable for a range of industries and has self-service and enterprise options.