Indirect measurements have proven to be very powerful: Professor Rachael Noyes of INSEAD, a business school, did research on the prognosis of GDP rebound after COVID-19.* As a fast indicator for the GDP she used measurements of the pollution in China. The underlying assumption is that pollution correlates with factory output and individual commute making it a relative indicator to what degree business has come back to pre-COVID-19 state.
What does this have to do with buildings? Actually, a lot!
Security systems collect a wealth of data about a facility, however, large part of data remain unused. Opportunities for indirect measurements are: the access system knows how many people enter a campus or a building and sometimes even a room; the management station knows how well the security policy is enforced and which regular false alarms compromise the attention and efficiency of the security team. Also, data on the most frequent threads are usually not used to enhance physical security.
Let data talk!
We launched Siveillance Analytics to turn data from the security systems into actionable information to support the business running the real estate. Siveillance Analytics measures the utilization of room and campuses based on the data from the access system. Thus, it focuses on helping estimate the real estate efficiency:
Providing and maintaining real estate contributes significantly to the cost-of-doing-business for many enterprises. This holds not only true in central locations like New York, London and Hong-Kong.
Do our customers know if they really need all the office space they pay for?
This has already been a tricky question but with the COVID-19 situation and the “new normal” the answer to that question becomes fluid with a need for constant monitoring: how many people choose the workplace over home-office? Do we really need three meeting rooms when people convene in virtual spaces? Siveillance Analytics uses the data from the access system to answer these questions. For more sophisticated occupancy solutions available from Siemens SI have a look here.
Siveillance Analytics also helps identify doors that have an excess of alarms and devices that register zero traffic. Such outliers indicate malfunctions that lead to enhanced workload and complacency of the operator and potentially down-time of the security concept. Servicing these outliers means enhancing the operational efficiency and thus saving cost.
New look & feel:
Siveillance Analytics is available as a subscription. It is going to be an integral part of the Smart Buildings offering that focuses on visualizing actionable information. Through agile development we came from idea to product in only four months. Now we keep that speed to add further functionality very close to our customer´s needs.
Wrapped-up, Siveillance Analytics is a powerful tool to help our customers be better informed, increase the safety of their assets, and ultimately save money.
Get back to me if you want to know how Siveillance Analytics can help you improve your business.