Consumers generate a huge amount of data on their preferences, experiences and other activities that businesses can use to optimize their products and services to match customer demands. The proper analytics tool is essential to achieving business goals like greater engagement, more sales, and more efficient operations.
To choose a tool, begin by determining what kinds of data you want to integrate and how to implement it. Some tools are geared towards traditional enterprise reporting while others are designed to help you perform more advanced mathematical analysis or monitor sensitive data like healthcare information. It is also important to consider the ways that the analytics tools you’re considering will fit into your current workflow systems and data architecture.
Some tools are made for sophisticated users and data scientists, whereas others let non-technical users perform analysis with a point-and-click interface. It is also important to take a closer look at the tools for data visualization and the features provided by each tool. Some tools are designed to create visual charts while others require SQL or third-party tools to create models of the data before it can be analyzed.
After you’ve narrowed your choices, you should be aware of the cost and whether the platform is cloud-based or built on software licenses and subscription fees. Some tools are free while others require an upfront investment and ongoing maintenance costs. Make sure to compare these costs with the potential return on investment from insights and efficiency gained using the analytics tool.
English 
తెలుగు