Consumers create a wealth of data about their preferences, experiences and other activities that businesses can use to enhance their products and services to match consumer demands. Selecting the right analytics software to analyze and collect this data is a crucial step to achieving the business objectives for higher engagement, greater sales and more efficient operations.
To select a tool, begin by determining what kinds of data you want to integrate and data analytics tools comparison the best way to accomplish it. Some tools are geared toward traditional enterprise reporting while others are designed to help you do more advanced mathematical analysis or monitor sensitive information like healthcare data. It is also important to think about what analytics tools you’re considering can be integrated into your existing workflow systems and data architecture.
Some tools offer an iterative experience for data scientists and advanced users, while others are designed to enable non-technical or novice users to perform point-and-click analysis. It is also important to take a closer look at the features and capabilities for data visualization offered by each tool. Some tools are specifically designed to create visual charts, while others require SQL or third-party applications to create models of the data before it can be analysed.
Once you’ve narrowed your choices down, you should consider the price and also whether the software relies on subscription fees or software licenses. Certain tools are free while others require an upfront investment as well as regular maintenance charges. Be sure to evaluate these costs to the potential return from the insight and efficiencies obtained by using the analytics tool.
