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Data Analytics Tools Comparison

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The consumer generates a lot of data about their preferences, experiences and activities that companies can utilize to improve their products and services to match the needs of customers. The proper analytics tool is essential to achieving business goals like greater engagement, more sales and more efficient operations.

To select a tool, begin by determining the types of data you want to integrate and how to accomplish it. Certain tools are more geared toward traditional enterprise reporting, while others are designed to help you conduct more sophisticated mathematical analysis or monitor sensitive information such as healthcare data. You should also think about the way that the analytics tool you’re looking at will integrate with your existing workflow and data architecture.

Some tools provide an iterative experience for data scientists and sophisticated users, while others are primarily designed to enable non-technical or novice users to perform point-and-click analysis. It is also important to take a close look at the data visualization capabilities and features that each tool offers. Certain tools are made to create visual charts, while others require SQL or third-party tools in order to model the data before it can be analyzed.

After narrowing your choices down, consider the cost and whether the software relies on software licenses or subscription fees. Some tools are free, while others require an upfront investment as well as ongoing maintenance costs. Make sure to compare these costs with the potential return on investment from insights and efficiencies gained using an analytics tool.


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