Data analysis tools are designed to speed up the process of converting raw data into useful, high-quality information in just a few clicks. However, the market is flooded with data analysis tools which makes it difficult to choose from. Thus, it is important to look for a few things in the right tool such as its performance, learning curve, TCO, etc.
So, to make the selection process easier for you, we have handpicked and listed some of the best analysis tools, complete with features. It is a combination of open source and paid versions that give you more options.
Microsoft Excel needs no special introduction, as it is still one of the most popular analytical tools. It is widely used in all industries, as well as for personal purposes. You may be a pro at using advanced tools like Tableau or SAS, but you will need Excel. This is extremely important when you analyze important and highly confidential data for your customers.
SAS, the bearer of data analyticssciencece is for all data scientists, business analysts, or forecasters to help them discover, analyze, and represent data. It works on Ingenious and reliable technology by converting raw data into smart data. Move it across multiple computing environments and it still works the same on all platforms.
Data analysis tools help you collect large data sets from various sources and combine them into databases. Data analytics tools can be a specialty software solution meant for data scientists. But many data platforms are easy enough for anyone to use.
It is an open-source and general-purpose programming language dedicated to the coding world. Python contributes to object-based programming, structures and functional programming, Also recently, it offers an advanced API for AI and machine learning. It makes arithmetic operation and expression formulas simple by allowing the + , - , * and / operation to function naturally function naturally. Allows parentheses () to be used for grouping.
R Programming is again a free data analysis tool ideal for statistical tasks, graphic visualization, and reporting. It is based on a compiled computer language that allows branches, loops, and modular programming with functions. It also integrates seamlessly with code written in C, C++, .Net, Python, or FORTRAN.
Power BI is Microsoft’s powerful tool that makes it possible to discover useful information and supports professional decision-making after data collection and analysis Power Bi is a powerful tool that can be combined with other tools such as Microsoft Excel so that you can integrate different solutions to get the speed and accurate conclusions to achieve all your goals.
If you are looking for a big data analysis tool, Apache Spark is the best choice. This opensource software is specially designed for developers and supports SQL, stream, and batch processing. It is an easy-to-use integrated analysis tool that is quickly built-in and can transform large chunks of data.