Consumers create a wealth of data on their preferences, experiences and activities that businesses can analyze to improve their products and services to meet the needs of customers. Finding the right analytics tool to capture and analyze this data is a crucial step in meeting business goals for increased engagement, higher 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 made for traditional enterprise reporting while others are designed to help you conduct advanced mathematical analyses or track sensitive information like health data. It is important to consider how the analytics tool you are considering will fit into your current workflow and data structure.
Certain tools are specifically designed for sophisticated users and data scientists, whereas others let non-technical users analyze data using a point-and click interface. Consider the capabilities and features of each tool, focusing on those that relate to visualization of data. Some tools are specifically designed to create visual charts, while others require SQL or third-party tools to create models mac file sharing not working of the data prior to it being able to be analysed.
Once you’ve narrowed your choices down, you should consider the price and also whether the platform is dependent on subscription fees or software licenses. Some tools are free, whereas others require a substantial upfront investment to get started and ongoing maintenance costs. Make sure to weigh these costs against the potential ROI from the insights and efficiency gained using an analytics tool.