The first thing I’d note when comparing data analytics software is the job functions that the team typically engages in, like reporting, creating dashboards, data cleaning, forecasting, or visualization. Next, evaluate each possibility according to how easy it is to use, what integrations it offers, scalability, security, and overall costs. Additionally, it’s worth considering the amount of training it takes to master the platform for employees. Real-world limitations can be discovered during a short trial with your own data that can not be demonstrated in a product trial. If you’re still not quite sure, a firm such as Datalance can do the evaluation and recommend a sensible way of going and not over-complicate the setup.