Any business has to choose the data analytics tool they will make use of. The right tool will enable you to make use of analytics, which in turn can boost business performance. However, the wrong tool can slow progress. This article compares the 15 most popular data analytics tools to help companies select the right tool for their requirements.

A comprehensive solution for product analytics offers a range of options, from data collection and integration to unifying reporting and analysis. It is also able to support mobile and web-based platforms. It could even have advanced functionality like cohort analysis as well as the ability to track and monitor metrics such as feature usage, retention and churn.

It offers a simple and intuitive interface that is suitable for both experienced and non-technical data analysts. It is compatible with many popular data sources and several popular algorithms, including k-nearest neighbors random forests, non-naive Bayes classification and support vector machines.

Microsoft Excel is another popular choice for data manipulation and reporting. It has a user-friendly, color-coordinated interfaces to manipulate data and display. It is a good alternative to more sophisticated software, such as Python or SQL, which is typically used to perform machine learning and data modeling.

When choosing a data analysis tool, be aware of the magnitude of your organization’s requirements for analytics and the likelihood of its future growth. The time and money savings by choosing a flexible program that can adapt to the changing needs of your business’s needs for data and insights will save you both time and money. It is also a good idea to choose a software that allows for a free trial or a flex license period so you can test the capabilities of the software and determine whether it is suited to your company’s requirements prior to making a purchase commitment.