Data Analytics Tools Comparison

The consumer generates a lot of information about their preferences, experiences and activities that companies can utilize to improve their products and services to meet the demands of their customers. The right tool to gather and analyze the data is an essential step towards achieving business goals to increase engagement, better sales, and more efficient operations.

To select a tool, start by determining what types of data you’d like to integrate and how to integrate it. Some tools are specifically designed for traditional enterprise reporting while others are designed to assist you carry out advanced mathematical analysis or track sensitive data, such as health data. It is also important to consider what analytics tools you’re considering will integrate into your existing workflow systems and data architecture.

Some tools offer an iterative experience for data scientists and sophisticated users, whereas others are designed to allow non-technical or casual users to perform point-and-click analysis. You should also be aware of the options for data visualization and features provided by each tool. Certain tools are designed to aid in the visualization of charts while others rely on SQL or other third-party tools to model your data before you can analyze it.

After you’ve narrowed your options, take note of the cost and whether the platform is cloud-based or built on software licenses and subscription fees. Some tools are free, while others require a substantial upfront investment to get started and ongoing maintenance costs. Be sure to evaluate these costs against the potential profit from the knowledge and efficiency generated by the analytics tool.

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