If we assume for a moment that more data is a good thing, then having the ability to create more data must also be good right? "What gets measured gets managed" goes to mantra. But assuming just having measurements will impact on productivity might be a little naïve. Perhaps it's what we do with those measurements that is more important.
Given that real estate is the most valuable asset class on Earth, one would assume we would swimming in data and insight about how buildings perform - how else can we decide to build them, rent them or value them? But sadly, the actual use of buildings is a mystery. Apart from fairly simplistic headcount information not much is known about how a building is used, but this is something that IoT has the potential to change. New devices that allow building occupiers, owners, funders and designers to look inside their buildings and understand the true demand for space of different types in real time can help make better, faster real estate decisions.
For the occupier it might help answer whether they have too much space. Real time demand data.
For the owner it might help answer whether the configuration of space is optimal. Real time use pattern data.
For the funder it might help answer whether their investment is in demand on a daily basis. Real time asset performance data.
For the designer, it might help to answer what there next building should include more or less of. Real time design feedback data.
In each of these cases, the core data is the same, but how it is analysed and interpreted can make it useful in many ways.
So, as always with data analysis, start by working out your role and your important question. Start with the outputs. There is a way to get the data you need to answer it. That's the power IoT provides today.