Advanced Analytic Views

The Purrmetrix web service supports a full range of analytics designed to help you fully understand the performance of your building: for operations, maintenance, post occupancy evaluation, commissioning, space utilisation studies, service level agreements, help desk support and more.

Each analytical view can take as many data points as you are interested in* from wherever you have sensors installed. Simply drag in the sensors you want to look at and refine your analysis using date range and the settings tools. Our range of analyses is being constantly extended and if you need help we are happy to create bespoke analytics for customers – simply get in touch and let us know  your challenges.

Below is the complete range of analytics available to Pro subscribers.


Heat maps allow you to see a lot of data in context. The heatmap provides a natural summary of all the data, whilst the graph offers a drill down. The view can be used to show historical data, current data and live updates. Many sensors can be included in a single graph and data from months of data can be viewed quickly. Selecting sensors, singularly and in groups, allows their traces to be highlighted.


Bar charts are a popular option to look at small numbers of sensors and compare their behaviour over time. Like all Purrmetrix visualisations they can be used to display values from any parameter – for example temperature, humidity, CO2, humidity. If a user selects a long time period the bar chart will down sample and provide average values for each period. In settings, you can add an extra column to each period to show average, max or minimum values observed in that period.


This view is a particularly good presentation of how a measurement changes over days and weeks. Repeating events appear as vertical bars in the chart with highs and lows standing out clearly.
Waterfall views can be configured to show a period of up to a month, and the mapping of colour to value may be altered. If more than one sensor is included in the view then the values from each of the sensors will be combined. Users can choose to combine using the average, the minimum or maximum value.


A quick and simple way of getting a real time average value for a group of sensors. Particularly good for checking on the performance of assets that are meant to work in a co-ordinated way, for example radiators on the same circuit.


A quick and simple way to understand extremes of environment in the past day, which is especially useful for any equipment or processes that are sensitive to environment. In settings this can be gated to apply only to working hours.


Alerts can be set up for one or a group of sensors. They can be triggered by a simple threshold, or by a rate of change, on any environmental metric, and they can be gated to only apply during operational hours.

Once triggered they will deliver an email or web call which can be used to integrate the data into a simple control function. The alert will disarm to prevent multiple alerts on the same event.


Measures compliance with a Service Level Agreement. Set up the view to reflect the service band your agreement applies to, and drop in sensors from the relevant area.

The measurement can be run for any time period and will report on excursions outside the SLA during that time period.


Goldilocks gives a quick way to measure the overall performance of a building in maintaining a stable environment. When set up with target performance boundaries, it reports the percentage of time the sensors in the building spend in those boundaries.

This gives a simple KPI for any building that can be used to rank performance and highlight areas that need improvement.


This view provides insights into much variation each sensor experiences from a target point over the time period selected. It is helpful for identifying long term performance of particular areas, including the highest level of fluctuation and whether specific areas are over or under targets


If you want to identify which parts of a building have persistent problems this tool allows you to rank the performance over time. When set up with target performance boundaries, it will report how much time each sensor has spent in the required condition and allow you to rank the best and worst performing parts of your building.


For temperature and humidity sensors, the Comfort view provides real time indications of a range of comfort indices. Including humidex, heat index, dew point and wet bulb measurements.


For any single temperature and humidity sensor, this view provides detailed insights into the conditions that drive damp and condensation problems. It provides three historic graphs – the top graph shows the actual temperature recorded against the dew point temperature (the temperature at which condensation would occur).

The second graph shows the saturated water vapour concentration (the amount of water the air could support at that temperature) and the actual water vapour concentration (the amount of water actually in the air at that time).

The third graph shows relative humidity for the same time.


Score groups allow you to put sensors into subgroups. It also calculates overall value for all of the subgroups.

This is useful for situations where you want to understand the overall performance of a building and also the performance of specific areas at the same time.

Score groups support not only the basic measurements of temperature, humidity, CO2 etc but also derived measurements such as dew point and vapour concentration.


Using data from motion sensors, this view shows the level of utilisation in a space. For every 10 minutes, it shows the percentage of sensors that have seen movement. This is reported as a percentage utilisation.


Using data from motion sensors, this view shows the highest utilisation seen in a space for any time period selected. This is based on a calculation made 10 minutes that shows the percentage of sensors that have seen movement.

The peak occupancy view also shows the average level of utilisation seen during the time period selected.


Using data from motion sensors located under desks, this view shows both the occupancy of rooms and their utilisation. Utilisation means that the room is occupied – it is a simple ‘yes/no’ metric. Occupancy means a count of how many seats in the room are occupied, and gives an indication of whether meeting rooms etc are at the right size to support the types of activity they are needed for.

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