Consumers generate a huge amount of data on their preferences, experiences and other activities that companies can utilize to improve their products and services to meet consumer demands. The appropriate analytics tool is vital to achieving business goals such as increased engagement, higher sales and more efficient operations.
When choosing a tool, begin by determining the types of data you want to integrate and the best way to integrate it. Some tools are made to provide traditional enterprise reporting, whereas others are designed to assist you do advanced mathematical analyses or track sensitive data such as healthcare data. You also need to consider the way that the analytics tools you’re looking at will fit into your current workflow systems and data architecture.
Certain tools provide an iterative experience for data scientists as well as advanced users, while others are specifically designed to allow non-technical or casual users to perform point-and-click analysis. It is also important to be aware of the options for data visualization and features offered by each tool. Some tools are designed to create visual charts, while others require SQL or third-party tools to model the data before it can be analysed.
After narrowing your options down, you should consider the price as well as whether the software relies on subscription fees or software licenses. Some tools are completely free, while others require a significant upfront investment to get started and ongoing maintenance costs. Make sure http://www.softwarehall.com/big-data-analytics-tools-comparison/ you weigh these costs against the potential ROI from the insights and efficiencies gained through using an analytics tool.