Companies can use the information generated by customers to enhance their products and services to satisfy the needs of their customers. Choosing the right analytics software to analyze and collect this data is a crucial aspect in achieving business goals for higher engagement, greater sales and more efficient operations.

To choose a tool, begin by determining the types of data you’d like to integrate and how to integrate it. Certain tools are more geared towards traditional enterprise reporting while others are designed to help you perform more sophisticated mathematical analysis or to track sensitive data like healthcare information. You should also consider how the analytics tool you are looking at will integrate with your current workflow and data structure.

Some tools offer an iterative experience for data scientists and sophisticated users, while others are primarily designed to allow nontechnical or novice users to perform point-and-click analysis. Be aware of the capabilities and features of each tool, focusing on those related to visualization of data. Some are designed to allow the creation of visual charts, while others rely on SQL or other tools from third parties to analyze your data before you can analyze it.

After narrowing your options down, think about the cost and also whether the platform relies on software licenses or subscription fees. Some tools are completely free, while others require a substantial upfront investment to get started and ongoing maintenance costs. Be sure to evaluate these costs to the potential benefits from the insight and efficiencies that can be gained from using the analytics tool.

Data Analytics Tools Comparison

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