As the possibilities at the intersect of M2M+Big Data gets unlocked its very important to examine the economics underlying the use cases
So the core questions becomes
"What is the economic value of correct prediction in the M2M Big Data world ?"
- How can we monetize on device predictions ?
- Is the effort taken disproportionately large compared to benefits unclocked in predicting outcome ?
- Is the cost of incrementing additional sensors points to collect data worth the returns ?
In this blog Flutura would share 3 real world examples of the economic value power of prediction in the M2M Big data world