Data Analytics Tools Comparison

Consumers produce a vast amount of data on their habits, preferences, and experiences that companies can utilize to improve their products and services to match consumer demands. The right analytics tool is crucial to reaching business goals such as greater engagement, more sales and more efficient operations.

When choosing a tool, begin by determining the types of data you’d like to incorporate and how you intend to do it. Some tools are specifically designed for traditional enterprise reporting while others are designed to help you conduct advanced mathematical analyses or track sensitive information like health data. It is also important to consider what analytics tools you’re looking at will fit into your current workflow systems and data architecture.

Some tools offer an iterative experience for data scientists as well as advanced users, whereas others are primarily designed to enable non-technical or casual users to perform point-and-click analysis. Be aware of the capabilities and features of each tool, specifically those that relate to data visualization. Certain tools are designed to create visual charts, while others require SQL or third-party applications to model the data prior to it being able to be analysed.

Once you’ve narrowed down your choices, you should be aware of the cost and whether the platform is cloud-based or dependent on software licenses and subscription fees. Certain tools are free while others require an upfront investment as well as regular maintenance charges. Be sure to compare these costs to the potential benefit from the insights and efficiencies generated by the analytics tool.






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