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Every business must decide on which data analytics tool to use. The right tool makes it easier to use analytics, which, in turn can drive business success. The wrong tool can hinder progress. This article compares 15 of the top tools for data analytics available to aid organizations in finding the best solution.

A robust product analytics program can offer a variety of options ranging from data collection, integration and reporting, to unification of analysis and reports. It can also support both mobile and web-based platforms. It could also include advanced features like cohort analysis, and the ability to monitor and track metrics such as feature usage, retention, and churn.

It has a simple and intuitive interface, suitable for both technical and experienced data analysts. It is compatible with many popular data sources as well as a number of mainstream algorithms, such as knearest neighbors random forests, the naive Bayes classification, and support vector machines.

Microsoft Excel is another popular option for data manipulation and reporting. It offers a user-friendly, color-coordinated interfaces for data manipulation and visualisation. It can be a good alternative to more complex software programs, such as Python and SQL which are usually used for data modeling and machine learning.

When selecting a data analytics tool, consider the scale of your organization’s requirements for analytics as well as its current and projected growth. A flexible plan that is able to meet your organization’s ever-changing needs for data and insights will save time and cost over the long haul. You should also consider the option with an able trial or free period to try out the tool and determine if it is suitable for your company’s needs before you commit.