Data Analytics Tools Comparison

Consumers create a wealth of data about their habits, preferences, and experiences that businesses can analyze to improve their products and services to match consumer demands. The right tool to gather and analyze this data is a crucial step in meeting business goals to increase engagement, better sales and more efficient operations.

Start by deciding what data types you want to integrate and how you plan to achieve this. Some tools are specifically designed for traditional enterprise reporting while others are made to help you do advanced mathematical analyses or track sensitive data, such as healthcare data. It is also important to consider the ways that the analytics tools you’re looking at will integrate into your existing workflow systems and data architecture.

Certain tools provide an iterative experience for data scientists and sophisticated users, while others are specifically designed to allow non-technical or novice users to perform point-and-click analysis. Consider the features and capabilities of each tool, particularly those that relate to visualization of data. Some are built to support the creation of visual charts whereas others rely on SQL or other tools from third parties to model your data prior to when you can examine it.

Once you’ve narrowed down your options, be aware of the cost and whether the platform is cloud-based or built on software licenses and subscription fees. Some tools are free, but others require a significant upfront investment to begin and ongoing maintenance costs. Make sure you consider these costs in relation to the potential ROI from the information and efficiency gained using an analytics tool.