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Consumers produce a vast amount of data about their behaviors, preferences and experiences that businesses can analyze to improve their products and services to match customer demands. The appropriate analytics tool is vital to achieving business goals such as increased engagement, greater sales and more efficient operations.
To select a tool, begin by determining the types of data you want to incorporate and how you intend to implement it. Certain tools are designed for traditional enterprise reporting while others read review are made to help you carry out advanced mathematical analysis or track sensitive information like health data. You should also think about the way that the analytics tool you’re looking at will integrate with your current workflow and data structure.
Certain tools provide an iterative experience for data scientists and advanced users, while others are primarily made to permit non-technical and casual users to perform point-and-click analysis. Take note of the features and capabilities of each tool, focusing on those that relate to data visualization. Certain tools are designed to create visual charts, while others require SQL or third-party tools to model the data prior to it being able to be analyzed.
After you’ve narrowed your options, be aware of the cost and whether the platform is cloud-based or dependent on software licenses and subscription fees. Some tools are free, while others require an upfront investment as well as ongoing maintenance fees. Make sure you compare these costs to the potential benefit from the insight and efficiencies gained by using the analytics tool.
