The Analytics Dashboards consist of six standard dashboards that are rolled out to all customers that provide the necessary RMS data (or CAD history).
Getting to the Dashboard
Access the Analytics Dashboards
by selecting the Analytics App.
- If you just logged in and are in the
Portal, select Analytics in the upper
- If you are in the Maps app, select
the using the menu item in the lowest
- Select the Dashboard to view.
- Print Dashboard - Print the current
dashboard. A Visualization Overview
and list of Applied Filters is added as a
- Export Data - Export all records for
Incidents and/or Units as a csv file for
the date range currently
- Always look at the default date of the
filters. Most default to most Recent Year
– which is the last full calendar year.
Users can change the date range as
desired. There are several built in
options, however the option of “Custom” is
available, allowing the user to set any
date range desired.
- Remember, after selecting your filter
options you must hit APPLY for the filters
to be applied to the dashboards.
- Each dashboard has a default set of
filters based on the data that is
interrogated by the dashboard. As a
result, not all options are available on
all dashboards. Additionally, Intterra can
integrate up to 5 shape files that can be
used to filter incidents by coordinated,
to return only those incidents which
occurred in the specified shape.
- Info - Select for a description of the
chart and what its based on.
- Download - Select to
- Print - Prints current chart and legend. Note: Not available for
- Download Chart - Downloads an image file
(png) for adding to docs and
- Export - Exports the aggregated data used
to create the chart. This is useful
for creating your own version using Excel
Charts or other application.
The YTD Summary dashboard provides summary
information of basic volume and types of
responses for the given agency YTD. This
dashboard is always run year to date, thus
does not have any date selection parameters.
The question this dashboard is attempting to
answer is: What is the volume of incidents for
my agency this year.
- Quarterly Incident Counts – provides the
total number of incidents that occurred
within that quarter for the current year.
Future quarters will report 0 incidents.
- Yearly Incident Counts – provides the
total number of incidents for up to the
last 5 full years that data is available
(never the current year).
- Dispatched As – breaks year to date
incidents down by the Initial NFIRS type. NOTE: Not all RMS systems capture
Initial NFIRS – when that data is not
available, this pie chart is not
- Closed As – breaks year to date incident
down by the Final NFIRS type.
- Total Incident Count – provides a total
count of incidents year to date as well as
details out any canceled incidents that
are included in that number.
- Hour of Day Counts – Breaks the year to
date incidents into the hourly increments
in which they occurred.
- Day of Week Counts – breaks the year to
date incidents into the day of week on
which they occurred.
Quarterly Performance Overview
The Quartrly Performance Overview dashboard provides
quick comparisons of how the selected quarter compares to the 3 prior quarters,
as well as how the selected quarter compares to the same quarter in the prior year.
Final Situation Found
The Final Situation Found dashboard provides
similar metrics as the YTD Summary dashboard –
except the date parameters can be changed and
run for any desired time period. The question
this dashboard is attempting to answer is:
What is the volume of the incidents for my
agency in the specified date range.
- The Situation Found table provides the
same breakdown of incidents based on their
Initial NFIRS and Final NFIRS codes as the
Dispatched As and Closed As pie charts on
the YTD Summary dashboard. NOTE:
Not all RMS systems capture Initial NFIRS
– when that data is not available, this
table still displays but the Dispatched As
columns are empty.
- Hour of Day Counts, Day of Week Counts and
Total Incident Count – provide the same
details as the YTD Summary dashboard, but
for the date selection provided on this
- Total Fire Dispatches, Total EMS Motor
Vehicle (MV) Dispatches and Total EMS –
Non Motor Vehicle (MV) – provide a
breakdown of incidents by Final NFIRS
category, listing up to the top 10
categories for each pie chart.
First Arriver Performance
For each KPI the dashboard provides the same
set of visuals:
- The Charts illustrate visually how many
incident responses fall into each time
interval. Turnout starts at < 00:20
(mm:ss), and then the next time bucket is
00:20-00:40, and then 00:41-01:00 etc. The
light blue bar visually depicts the number
of incidents in each bucket. The count of
incidents displays at the top of the bar.
The medium blue line illustrate the
cumulative percentage….so in this example,
at <00:20, represents about 3% of all
the first arriver turnouts logged. Then at
the next time bucket the total incidents
responses are now about 6%, and then at
the 01:00 bucket, the total responses
represent about 12% of responses. This
line will always trend in an upward
The orange horizontal line draws a
baseline mark at the 50th percentile so
the user can visually see where about ½ of
the responses fall. The darkest blue
horizontal line draws a baseline mark at
the 90th percentile, so the user can see
the NFPA standard they are striving for.
- Below the chart, the same data is
presented in tabular format. This is
provided for those to allow users to
quickly see how many incidents fall into
each interval – some users find the
tabular view easier to read than the chart
- and 4. These block calculate out the
precise 50th percentile and 90th
percentile based on the filters applied.
The Unit Performance dashboard reports out the
Turnout and Travel durations for all units
that responded to incidents – not just the
first arriver. The question this dashboard is
attempting to answer is: How well do specific
Weekly Unit Response Summary
The Weekly Unit Response Summary provides a snapshot of the unit activity for the last full week and compares it to the average of the prior 3 weeks. The question this dashboard is
attempting to answer is: How busy were we last week relative to the prior weeks?