I got the data. What does it mean...?
Incentivizing the data is going to be tricky on both sides. For example, offering a discount in exchange for certain behaviors may turn out to be spurious at best. Often times, the IoT or M2M data stream will be a first look at a process and that look may well be a surprise! The initial scarcity of data, where the experiment sample size approaches N=1 will make opting in to a data stream an act of philosophy rather than science.
Eventually, the data becomes aggregated with enough samples that conclusions, discounts, and penalties can be applied. Behaviors and process will be shaped when that data is dense enough to see the special cause when it shows up.