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Author: Hugh Molyneux

Global Warming and Real Estate – It’s long overdue for us to lead the way!

The Real Estate sector forms one of the bedrocks of society. In 2016 Fortune Magazine estimated the value of all residential, commercial, forest and agricultural land to be $217 trillion dollars. By way of comparison, the total value of all the gold ever mined from prehistory to present is approximately $6 trillion. This, in my view makes Real Estate the pre-eminent global asset class that has the most power to impact national and international economies.… [ read full ]

Data Intelligence for the Real Estate Sector: Freeing humans from the equation

The hype around data intelligence is huge. If you listen to the experts it will: Allow you to see the future from patterns of data from the past Create breakthroughs in business productivity by exposing hidden opportunities Allow machine learning to take over from human thinking to make better decisions In the real estate sector, we deal with massive amounts of data. Buildings are complex entities that spew forth literally millions of data points, from… [ read full ]

How to choose your EMS Sustainability Software Carefully

I have made mistakes over the last 20 years building and implementing Environmental Management System-level Sustainability, Environmental and OHS software solutions.In spite of these mistakes (maybe even because of them) we have built a successful company with happy customers. A lot of our learning involves avoiding four pitfalls in selecting and implementing an EMS Sustainability software solution. Some of the pitfalls are obvious and others maybe not so much. Here is what I think really works:KISS… [ read full ]

How Big Data Analytics Can Lead to Better Outcomes for Organizations

The cure for cancer may already be in our hands. It’s possible that somewhere in the zettabytes of data amassed and archived around the world hides a key sequence of events and outcomes relating to malignant cell growth. That critical insight, however, may be unlinked and out of context, beyond the grasp of the hundreds of thousands of researchers looking for it. Welcome to the era of big data, in which everything we know is… [ read full ]