IOT Attendance Report
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Written by Kiren Dosanjh-Dixon
Updated over a week ago

Discover the power of the IOT attendance report! It effortlessly gathers data from your IoT sensors and presents it in a user-friendly view. This guide will navigate you through the essential information found in your attendance report.

The Attendance Report can help you answer questions such as:

  • What does attendance look like? Average and Peak?

  • How is my attendance trending?

  • Which days are the busiest?

  • Which times are the busiest?

  • Which are the busiest floors, zones and spaces?

  • What is the actual space utilisation percentage and how does that compare to “booked” data?

  • How many spaces are being utilised without bookings?

At the top of the report, you will see the available filters:

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  • Date - Choose a predefined filter such as "last 7 days" or choose your custom start and end date.

  • Day of the week - Choose which days to include/ exclude or select "matches" for advanced options.

  • Location Filter - You can add one or more locations and the report will provide all the data relating to your choice. This is a core filter and as such how all other filters act will depend on the selection here.

  • Floor name - Choose which floors to include/exclude or select with the help of advanced filters.

  • Location Group - Filters by location groups.

  • Space type - Select the type of spaces you want to include/exclude from your report.

Please note that whenever you change the filters you must select "Update" for the report to refresh.

Key Metrics of the IOT Attendance Report

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  • Capacity

The maximum capacity of your location/s.

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  • Max Location Count

The highest count of people captured.

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  • Peak Occupancy

The sum of people captured during the selected filters presented as a percentage. A high percentage represents a fuller occupancy of your space (100% is fully occupied).

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  • Max People Count (Floor)

The highest count of people by floor captured.

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  • Max People Count (Zone)

The highest count of people by zone captured. This metric can help you understand how busy some of your zones are.

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  • Max People Count (Space)

The highest count of people by space captured.

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  • Busiest Floors

This graph displays the max people count per floor so you can compare the usage of floors.

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  • When are people in the Location by Day of the Week?

Graph displaying the count of people by day of the week.

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  • When are people in the location by work hour?

Maximum location count and average location count by the hour for easy comparison.

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  • Peak Attendance Trend

Which were the busiest days for your select period? It provides you with a holistic view of your attendance. This graph can answer questions such as 'Have people come into the office more?', 'Are most people coming in on the same days?'.

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  • Busiest Zone

This graph displays the count of people by zone.

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  • Busiest Spaces

Get a top 10 of the busiest spaces according to the IoT sensors.

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  • Busiest Space Type

This displays the count of people by space type. This graph provides you with an overview of the spaces most used. Here, we can see the most used space type are meeting rooms, followed by desks.

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  • Supply vs Peak Demand

When people want a space, can they find one? This graph shows the ratio of offer/demand of your spaces at peak times.

In this example, users wanted individual space (1) but the demand was higher than the supply. On the contrary, space of a capacity of 18 had a higher supply than demand.

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