Data Analytics Tools Comparison

The consumer generates a lot of data on their behaviors, preferences and experiences that companies can utilize to improve their products and services to meet customer demands. The proper analytics tool is essential to reaching business goals such as increased engagement, higher sales, and more efficient operations.

Decide on which data types you want to integrate and how you plan to do so. Some tools are designed for traditional enterprise reporting while others are made to help you perform advanced mathematical analyses or track sensitive data, such as healthcare data. You also need to consider how the analytics tools you’re looking at can be integrated into your existing workflow systems and data architecture.

Some tools are designed for advanced users and data scientists, whereas others allow non-technical users to do analysis using a point-and-click interface. You should also take a close look at the options for data visualization and features provided by each tool. Some are built to support the creation of visual charts, while others rely on SQL or other tools from third parties to analyze your data before you can examine it.

Once you’ve narrowed down your options, pay attention to the cost and whether the platform is cloud-based or built on software licenses and subscription fees. Some tools are free, while others require an upfront investment and ongoing maintenance costs. Be sure to compare these costs with the potential return on investment from insights and efficiencies gained using the analytics tool.