http://www.softwarehall.com/big-data-analytics-tools-comparison/
Consumers create a wealth of data about their behaviors, preferences and experiences that companies can utilize to improve their products and services to match customer demands. The appropriate analytics tool is vital to reaching business goals such as increased engagement, higher sales and more efficient operations.
To select a tool, begin by determining the types of data you want to integrate and how to integrate it. Some tools are made to provide traditional enterprise reporting, whereas others are designed to help you perform advanced mathematical analyses or track sensitive data like healthcare data. It is important to consider the way that the analytics tool you’re considering will fit into your current workflow and data architecture.
Certain tools provide an iterative experience for data scientists and advanced users, whereas others are primarily designed to allow nontechnical or casual users to perform point-and-click analysis. It is also important to take a closer look at the options for data visualization and features offered by each tool. Certain tools are made to create visual charts while others require SQL or third-party software to create models of the data prior to it being able to be analyzed.
After narrowing your choices down, consider the cost as well as whether the platform relies on subscription fees or software licenses. Some tools are free, while others require an upfront investment as well as regular maintenance charges. Be sure to compare these costs to the potential profit from the insight and efficiencies that can be gained from using the analytics tool.
