WEBVTT

1
00:00:02.066 --> 00:00:03.632
Embedded analytics

2
00:00:06.466 --> 00:00:07.805
In this video

3
00:00:07.806 --> 00:00:11.935
We will explain where to find embedded analytics in the admin web UI

4
00:00:11.935 --> 00:00:15.203
We will show the different types of analytics reports that you can do

5
00:00:17.366 --> 00:00:19.995
Door Tablet offers embedded analytics

6
00:00:19.996 --> 00:00:22.349
this means you do not need to configure anything

7
00:00:22.349 --> 00:00:24.965
to analyse transactions on the Door Tablet system

8
00:00:25.466 --> 00:00:27.759
We will show how this works

9
00:00:27.760 --> 00:00:30.333
First, we log into the admin web UI

10
00:00:32.433 --> 00:00:35.033
On the menu we navigate to ‘Bookings’

11
00:00:36.900 --> 00:00:39.767
and we will see ‘Embedded Analytics’

12
00:00:39.767 --> 00:00:44.593
Just to note, Door Tablet has always offered integration with Google Universal Analytics

13
00:00:44.594 --> 00:00:48.199
but moving forward we are putting our attention on embedded analytics

14
00:00:48.700 --> 00:00:51.400
Google Universal Analytics requires configuration

15
00:00:51.733 --> 00:00:53.033
but with embedded analytics

16
00:00:53.333 --> 00:00:57.527
we just go into the reports and view what we need without any need for configuration

17
00:00:57.766 --> 00:01:00.466
Let’s click on ‘Utilisation’

18
00:01:03.566 --> 00:01:05.832
Here we select the type of report we would like

19
00:01:06.900 --> 00:01:08.333
the area we want to cover

20
00:01:09.233 --> 00:01:10.766
and the time period to be checked

21
00:01:11.566 --> 00:01:14.432
Door Tablet will remember your settings from session to session

22
00:01:14.933 --> 00:01:17.366
We are going to look at workspace utilisation

23
00:01:17.733 --> 00:01:19.666
For our area called Office 365

24
00:01:19.966 --> 00:01:23.132
For August 1 to August 29, 2022

25
00:01:23.666 --> 00:01:26.482
Please note that if you have only recently deployed this version

26
00:01:26.483 --> 00:01:28.484
your data may have not been collected

27
00:01:28.484 --> 00:01:31.665
Door Tablet shows here when the collection of your data began

28
00:01:31.666 --> 00:01:33.366
Let’s click ‘Chart’

29
00:01:35.200 --> 00:01:40.169
We can see the percentage of utilisation of our workspaces across this period

30
00:01:40.169 --> 00:01:43.803
This percentage is based on how many hours the space can be booked for

31
00:01:43.804 --> 00:01:49.676
By default, Door Tablet spaces are booked from 8am until 6pm which is 10 hours

32
00:01:49.676 --> 00:01:52.252
This can be changed on a space-by-space basis

33
00:01:52.766 --> 00:01:56.766
This level of utilisation is not likely to be the kind you see in your system

34
00:01:57.233 --> 00:02:01.799
Test data is contributing to these statistics and real life is likely to be different

35
00:02:02.266 --> 00:02:06.266
You may also see blank data on weekends if no meetings are being booked

36
00:02:06.700 --> 00:02:10.300
We can refine what we are looking at by selecting a specific workspace

37
00:02:11.633 --> 00:02:13.366
and clicking ‘Chart’ again

38
00:02:15.700 --> 00:02:21.319
Door Tablet highlights which days the percentage of utilisation was below 40%

39
00:02:21.319 --> 00:02:24.248
This percentage is built into the analytics system

40
00:02:24.249 --> 00:02:27.236
but if you decide that you would like 20% to be the threshold

41
00:02:27.236 --> 00:02:29.232
you don’t have to pay attention to our threshold

42
00:02:29.800 --> 00:02:35.100
But we believe 40% is a good marker for the minimum utilisation that should be reached

43
00:02:35.733 --> 00:02:38.283
Let’s look at some other reports

44
00:02:38.283 --> 00:02:42.166
We can look at the total duration of meetings taking place for this resource

45
00:02:42.600 --> 00:02:45.300
So, we change the type to ‘Durations’

46
00:02:47.600 --> 00:02:48.900
and click ‘Chart’ again

47
00:02:51.133 --> 00:02:53.699
This shows in hours how much the resource was used

48
00:02:54.500 --> 00:02:56.133
Let’s change the type to ‘Events’

49
00:02:59.233 --> 00:03:00.199
and click ‘Chart’

50
00:03:03.700 --> 00:03:07.252
In this case we are seeing what kind of reservations have taken place

51
00:03:07.252 --> 00:03:08.799
and how many no shows we had

52
00:03:09.233 --> 00:03:10.833
If we hover our mouse on the legend

53
00:03:11.866 --> 00:03:13.332
we will only see that item

54
00:03:19.700 --> 00:03:21.566
Let’s look again at the date selection

55
00:03:22.300 --> 00:03:23.733
When we click on this field

56
00:03:24.533 --> 00:03:26.466
we can pick several fixed time ranges

57
00:03:26.866 --> 00:03:29.404
but we can also use a custom range

58
00:03:29.405 --> 00:03:33.066
To use a custom range, you select the start date and the end date

59
00:03:35.066 --> 00:03:36.099
and click ‘Apply’

60
00:03:38.433 --> 00:03:39.599
and then ‘Chart’

61
00:03:40.966 --> 00:03:43.044
Door Tablet will remember this selection

62
00:03:43.045 --> 00:03:46.596
so next time this is opened we will see the same period

63
00:03:46.597 --> 00:03:48.532
Now we will click on ‘No Shows’

64
00:03:50.900 --> 00:03:53.000
Again, we select the type of report we want

65
00:03:55.866 --> 00:03:57.399
the area we want to focus on

66
00:04:00.366 --> 00:04:01.432
and the time period

67
00:04:12.066 --> 00:04:13.366
and then ‘Chart’

68
00:04:15.400 --> 00:04:18.340
This is showing just the no shows for this area

69
00:04:18.340 --> 00:04:22.465
if we want to focus on a specific space we can do so

70
00:04:22.465 --> 00:04:24.932
Now we can look at weekdays to see which days of the week

71
00:04:24.932 --> 00:04:26.799
are more susceptible to no shows

72
00:04:29.466 --> 00:04:35.434
We can see here that Wednesdays get 17.8% of all no shows in this system

73
00:04:35.435 --> 00:04:39.533
When we move the mouse over the matrix it highlights the percentage for that day

74
00:04:49.366 --> 00:04:52.366
We also have an option to look at air quality analytics

75
00:04:54.333 --> 00:04:58.022
but this depends on your deployment of air quality sensors

76
00:04:58.022 --> 00:05:02.332
In this case air quality sensors are not deployed on this system

77
00:05:02.333 --> 00:05:06.152
If they are deployed, we can analyse CO2 levels

78
00:05:06.153 --> 00:05:09.782
internal air quality and temperature

79
00:05:09.782 --> 00:05:13.932
These again can be assessed by area or by looking at a specific resource

80
00:05:15.566 --> 00:05:16.899
Thank you for watching