Siveillance Analytics – Let data talk
Security systems produce vast amounts of data that hold a wealth of information about a facility. However, in most buildings, data goes unused. Siveillance Analytics can bring value to that data, for example to enhance physical security or system uptime. And it may also be employed to create feature-rich displays and provide actionable information for security operators.
Ingenuity blog on security analytics
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Use casesSuppose a door shows an excess of alarms or access-denied events, or it is in an area of low utilization. Security analytics flags these cases, thereby drawing operator attention to possible malfunctions. If not addressed, they could lead to an unexpected increased workload, or even to downtime in a security concept and interruption to business continuity. Plus, if confronted with too many false alarms, operators may also become complacent. By identifying these outliers early on, service technicians can address anomalies, enhance operational efficiency, and reduce costs.
Site entry points
Facility managers are constantly on the lookout for ways to make better use of their real estate and facility assets. Security analytics by Siveillance Analytics offers insights at the click of a button. The software provides the facility manager with a visualization of traffic and access events in the parts of the building in question. The information is easy to understand, as it is displayed in a modern bar chart.
The number of access-granted events from an access control reader is taken as a proxy for the utilization of a room, part of a building, or an entire building itself. A Siveillance Analytics user may select the time span of interest: individual days or a certain time period. A list displays the 50 readers with the highest or lowest traffic, depending on the selected sorting order. These outliers indicate the highest and lowest room utilizations and occupancies.
Doors that have an excess of alarms indicate malfunctions that may potentially lead to increased workload and downtime in a security concept. Furthermore, security operators may also become complacent with frequent alarms. Security analytics by Siveillance Analytics spots these outliers. By addressing them, operational efficiency is enhanced and money is saved.
Siveillance Analytics directs you to outliers in terms of underutilization. Furthermore, components that have not communicated for a long time may be underutilized or even malfunctioning. The table shows the last date on which the access control server communicated to the respective component, and how many days this date lies in the past. The list is presorted so that the user can get the relevant information at a glance.