Every business must decide on which data analytics software to make use of. The right tool can aid in the use of analytics, which will help in achieving business success. A wrong tool, however, can impede progress. This article compares the 15 most popular data analytics tools to help organizations choose the best solution for their requirements.

A complete product analytics system offers a variety options ranging from data collection, integration and reporting, to unification of analysis and reporting. It can also provide support for both mobile and web platforms. It could also include advanced functions like cohort analysis and the capability to monitor and track metrics such as use of features, retention and the rate of churn.

It has a sleek and intuitive interface that is ideal for both non-technical users as well as experienced data analysts. It supports a variety of popular data sources and a number of mainstream algorithms, including k-nearest neighbors random forests, non-naive Bayes classification, and support vector machines.

Another popular option is Microsoft Excel, which continues to be a highly-used software program for data wrangling and reporting. It has a color-coordinated, user-friendly interface for data manipulation. It is a great alternative to more complicated software applications like Python and SQL that are commonly used to model data and machine learning.

When choosing a data analytics tool, take into account the size of your company’s needs in analytics and the likelihood of its future growth. Making savings in time and money by choosing a plan that can be adjusted to the changing needs of your business’s requirements for data and insights will save you time and money. You should also select an option that offers an open or trial period to try the tool and determine if it’s a good fit for your company’s needs before committing.