The journey of sensors and alerts goes well beyond solving immediate problems or short-term potential issues. Here at dnEnviro, we have a team dedicated to using data collected from our sensors for long term benefit.
Business Intelligence, Smart analytics, Predictive analysis and Data Science are some of the other terms associated with our analytics department. The department strives to provide our customers with better understanding and deeper value for their investment in the sensor technology dnEnviro offers.
Whether looking for better people flow, better environmental controls, better wellbeing, each of our customers circumstances will be different, but the data science remains the same. Exposing models, ideas and solutions that normal data views hide.
dnEnviro has various methods of using the data collected from our (and 3rd party) sensors. We split the use into three distinct areas as each has its own tools and techniques that facilitate better and more detailed data analysis.
With ALERT REPORTING, the data is monitored in real-time, looking for data variations. These variations are specified by the customer and are very customisable. They are generally where a sensor is reporting results out of the expected norm. For example, where the temperature is too high or low, where water is detected, or the room occupancy is too high. In these scenarios, our solution will report alerts back to specified users. Usually sent via email or SMS, these alerts can be set to multiple users (or systems) to escalate or, if the same alert is reported for 5 minutes, more people are notified. The solution also accommodates compound alerting so that the results from multiple sensors are combined before alerts are triggered. For example, someone is in a room and the temperature is too high.
TREND ANALYSIS within our platform allows authorised users to look at the performance of sensors. These reports can be viewed within the platform and exported for further analysis or sharing with colleagues. They show the performance of one or more sensors (overlay on top of each other if required) over time. This is useful to check on expected performance, looking for spikes or ascertaining what the sensors were reporting at a particular time.
ANALYTICS ... The real power of sensor data is the ability to look for data anomalies or data trends that are not visible to the human eye. The human ability to look over large amounts of data and see patterns is extremely limited, but for the computer, this is an area it excels in. We fundamentally believe the true power of deploying sensors and collecting the data is to understand that small changes can have a significant impact.