Consumers produce a vast amount of information about their preferences, experiences and other activities that businesses can use to enhance their products and services to meet customer demands. The proper analytics tool is essential to reaching business goals such as greater engagement, more sales, and more efficient operations.
Start by deciding what data types you want to integrate and how you plan to achieve this. Some tools are designed for traditional enterprise reporting while others are made to help you perform advanced mathematical analyses or track sensitive data like healthcare data. You also need to consider what analytics tools you’re looking at will fit into your current workflow systems and data architecture.
Some tools are made to cater to advanced users and data scientists, whereas others let non-technical users analyze data using a point-and click interface. Be aware of the features and capabilities of each tool, focusing on those that relate to data visualization. Some tools are designed to create visual charts, while others require SQL or third-party applications to create models of the data before it can be analyzed.
After narrowing your choices down, take a look at the cost and whether the platform is dependent on subscription fees or software licenses. Some tools are completely free, whereas others require an upfront investment and regular maintenance charges. Be sure to evaluate these costs with the potential profit from the insights and efficiencies obtained by using the analytics tool.