Data Analytics Tools Comparison

Consumers generate a huge amount of information about their behaviors, preferences and experiences that businesses can use to optimize their products and services to meet the needs of customers. The appropriate analytics tool is vital to achieving business goals such as increased engagement, greater sales, and more efficient operations.

When choosing a tool, begin by determining the types of data you’d like to integrate and the best way to do it. Some tools are specifically designed to provide traditional enterprise reporting, whereas others are designed to help you carry out advanced mathematical analysis or track sensitive data, such as healthcare data. You also need to consider the ways that the analytics tools you’re considering will fit into your current workflow systems and data architecture.

Certain tools are designed to cater to advanced users and data scientists, while others allow non-technical users to perform analysis with a point-and-click interface. Take note of the capabilities and features of each tool, particularly those that relate to visualization of data. Certain tools are made to create visual charts while others require SQL or third-party applications to model the data before it can be analysed.

After narrowing your options down, take a look at the cost as well as whether the software relies on software licenses or subscription fees. Some tools are free, but others require a substantial upfront investment to get started and ongoing maintenance costs. Be sure to consider these costs in relation to the potential ROI from the insights and efficiencies gained through using the analytics tool.