Analytics for Meeting Rooms

Surprised by the title of the blog? What does it mean? Read on…:-)

As you know energy saving/go-green is the mantra these days. Not only from environment perspective but also from the organizations’ bottom-line perspective/expenditures on energy usage. I was consulting for a Silicon Valley startup few years back which was into energy domain allowing organizations to save energy expenditure in the office premises using their unique device and system built around it. This was built around sensors generating different types of real-time data and driving automatic control of energy usage in various parts of office premises, thereby effectively reducing energy consumption. This is not new, we know this.

What is new now is that, there is so much data generated by building automation systems. People are thinking about how can we use this data to get insights or even build new kind of applications to solve problems. In that context, we began working on building analytics applications capitalizing the data generated by this system. It all began with simple way to find out which of meeting rooms are available for just in time usage. I call this Meeting Room Analytics. Many of us can appreciate that, this is the need of the hour. How many times we struggle to find a room for ourselves to get into for a quick meeting on something urgent? In modern offices and organizations around the world, it is common to book a room automatically when you schedule meetings via your email or calendar application such as MS-Outlook/MS-Exchange Sever. The meeting rooms are integrated as resources in systems such as MS-Exchange Server. But how many times we block them but don’t use them nor do we relinquish them back to the pool for others to use?

How about a system, available at our finger tips, which would gather data on meeting room usage patterns, its occupancy information at any given point of time and tell us which of the rooms could be available for a quick meeting at hand, just in time and how long? The system can also recommend rooms which are most unlikely to be occupied despite bookings based on historical usage patterns.

What do you think? What other interesting, new-age applications you think one can build in this new category Energy Efficiency as a Service(EEaaS)?


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