The selection of a data analytics tool is a critical decision for any company. The right tool makes it easier to leverage analytics and, in turn it can aid in achieving the success of your business. The wrong tool, however can hinder progress. This article reviews the 15 most popular data analytics tools to help organizations choose the right one for their requirements.
A comprehensive product analytics can provide a range of options that range from data collection, integration and reporting, to unification of analysis and reports. It also offers support for both mobile and web platforms. It may even offer advanced functions like cohort analysis and the capability to track and monitor metrics like use of features, retention and click the rate of churn.
It provides a simple and user-friendly interface suitable for both non-technical users and experienced data analysts. It is compatible with a variety of popular data sources, as well as a range of common algorithms like random forest, k-nearest neighbour, 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 interface for data manipulation and visualisation. It is a great alternative to more complex software programs like Python and SQL, which are typically used to model data and machine learning.
When choosing a data analysis tool, consider the scale of your company’s needs in analytics and the likelihood of its future growth. A flexible plan that can accommodate your company’s ever-changing requirements for data and analytics will save time and cost over the long haul. You should also choose one that has an able trial or free period to try the tool and determine if it’s a good fit for your company’s needs before you commit.