One way to view IoT analytics challenges is to consider a possible IoT deployment. Let’s take the following scenario. A huge industrial food storage warehouse and distribution center uses Internet-connected devices to maintain the temperature of specific zones, such as a refrigeration area for items that need ongoing, non-freezing cooling, and a freezer area for items that need to be consistently frozen. The data we have in 2021 shows an entirely different picture than the data from 2016. An IoT Analytics survey of ~100 senior IT and OT managers from the industrial sector (which is discussed in-depth as part of the predictive maintenance market report 2021) observed that predictive maintenance implementations yielded a positive ROI in 83% of the cases and that 45% of those reported amortization in less than a year. This data demonstrates how attractive the investment has become in recent years.