The choice of an analytics tool for data is a critical decision for any company. The right tool makes it easier to leverage analytics, which, in turn it can aid in achieving business success. A wrong tool, however can hinder progress. This article compares the best 15 data analytics tools to help businesses select the right tool for their needs.
A robust product analytics program can provide a variety of options ranging from data collection, integration and reporting, to unified analysis and reporting. It is also able to provide support for mobile and web-based platforms. It could even have advanced functionality like cohort analysis and the ability to monitor and track metrics such as feature usage, retention and the rate of churn.
It is a simple and intuitive interface, suitable for both novice and expert data analysts. It is compatible with many popular data sources as well as several popular algorithms, such as knearest neighbors random forests, the naive Bayes classification, and support vector machines.
Another popular choice is Microsoft Excel, which continues to be a highly-used software application for data manipulation and reporting. It offers a user-friendly and color-coordinated interfaces to manipulate data and display. It is a great alternative to more sophisticated softwarehall.com software programs such as Python and SQL that are commonly used for data modeling and machine learning.
Be aware of the current and future growth of your organization when selecting an analytical tool for data. A flexible plan that can accommodate your company’s ever-changing requirements for data and insights will save time and money in the long run. It is also recommended to choose the option with an able trial or free time to test the software and determine if it meets your business’s needs before you commit.