11 Apr Data Analytics Tools Comparison
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Businesses can use the data collected by consumers to enhance their products and services in order to meet the needs of customers. Choosing the right analytics tool to capture and analyze this data is a crucial step in meeting business goals to improve engagement, increase sales, and more efficient operations.
Decide on which data types you’d like to integrate, and how you intend to achieve this. Certain tools are more geared towards traditional enterprise reporting while others are designed to help you perform more sophisticated mathematical analysis or track sensitive information such as healthcare data. You should also think about how the analytics tool you are considering will fit into your existing workflow and data structure.
Some tools provide an iterative experience for data scientists and advanced users, while others are primarily designed to enable non-technical or people who are not experts in data to perform point-and click analysis. You should also examine the features and capabilities for data visualization provided by each tool. Some tools are designed to create visual charts while others require SQL or third-party software to model the data prior to it being able to be analysed.
Once you’ve narrowed your choices down, think about the cost and whether the software relies on software licenses or subscription fees. Some tools are completely free, while others require a substantial upfront investment to begin and ongoing maintenance costs. Be sure to evaluate these costs against the potential ROI from the insights and efficiencies gained through using the analytics tool.
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