Data Analytics Tools Comparison

Consumers generate a huge amount of data about their preferences, experiences and activities that businesses can analyze to improve their products and services to match the demands of their customers. The proper analytics tool is essential to reaching business goals such as increased engagement, greater sales and more efficient operations.

To select a tool, first determine the type of data you want to incorporate and how you intend to integrate it. Some tools are geared toward traditional enterprise reporting while others are designed to assist you do more advanced mathematical analysis or to track sensitive data like healthcare information. You should also think about how the analytics tool you’re looking at will integrate with your current workflow and data architecture.

Certain tools are designed for sophisticated users and data scientists, whereas others let non-technical users perform analysis with a point-and-click interface. Consider the features and capabilities of each tool, particularly those related to data visualization. Some tools are designed to create visual charts, while others require SQL or third-party tools to model the data before it can be analyzed.

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

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