11 Abr Data Analytics Tools Comparison
Consumers generate a huge amount of information about their preferences, experiences and activities that companies can utilize to improve their products and services to match consumer demands. The right tool to collect and analyze this data is a crucial step towards achieving business goals to increase engagement, better sales and more efficient operations.
Start by deciding which data types you want to integrate and how you plan to do so. Some tools are specifically designed to provide traditional enterprise reporting, whereas others are designed to assist you do advanced mathematical analyses or track sensitive information like health data. You should also think about how the analytics tool you are looking at will integrate with your current workflow and data architecture.
Some tools are designed to cater to advanced users and data scientists, whereas others allow non-technical users to perform analysis with a point-and-click interface. Consider the capabilities and features of each tool, focusing on those related to data visualization. Some are built to support the creation of visual charts whereas others rely on SQL or other third-party tools to analyze your data before you can analyze it.
After you’ve narrowed your options, take note of the cost and whether the platform is cloud-based or dependent on software licenses and subscription fees. Some tools are completely free, whereas others require an upfront investment as well as ongoing maintenance fees. Be sure to weigh these costs to the potential benefit from the knowledge and efficiency obtained by using the analytics tool.