The Analytics Module provides you with data to give your organization a better understanding of your historical threat exposure, emergency response, platform usage, and travel patterns. Note that the data is anonymized, meaning that you can not see data for specific individuals.
The data in the Analytics Module is divided into the following categories:
The data displayed in the Analytics Module has varying starting points depending on the type of data presented. You can generally find data from around three years back in time. This assumes that you have been using Safeture for that long.
All data in the Analytics Module is updated once a day, starting at 5:00 am (CET) to keep it accurate so that you can take actionable measures from it. Note that the update might take a while.
Account and Group Filtering Menus
The account and group filtering menus are located at the top-left corner of each data view, across the Analytics Module. These filtering menus let you filter out certain accounts and groups of users and display data specifically from those users in the charts.
The account and group filters are connected to each data view, which means that if you choose to view information for a specific account in one of the analytics pages, and switch to another page, the filter settings will not apply in the new view.
The account-filter is only visible for administrators with multi-account access. The filter is based on which accounts the user has access to in the platform. Note that when a user is given access to a new account, it can take up to 24 hours before the account is selectable (and the corresponding data) shows up in the Analytics module.
The download buttons are also located on all data views across the Analytics Module. When clicking on any of the download buttons, you will export the data displayed, either in a PDF or CSV file format, depending on your preference and need.
Note: the downloads do not reflect the settings made in the filtering menus. Instead, you will get the complete set of data when downloading any of the analytics views.
The first analytics category is Alerts and displays data about the alerts affecting your people and/or facilities. The alerts category contains two tabs: User Alerts Overview and Facility Alerts Overview. Read more about them below.
User Alerts Overview
The User Alerts Overview provides you with data to help you understand your organization’s threat exposure better by looking at data on when, where, and for what type of categories any user within the selected account or group have received alerts.
Note: only alerts relevant to your organization are displayed here, including those where you have had any user located within the alert’s impact radius.
The filtering menus of the User Alerts Overview tab lets you customize the display of data based on the following parameters:
You can filter the display of alerts based on the severity degree of the alert. Severity reflects the estimated risk related to the event that the alert presents. Click here to read more about the underlying risk assessment methodology that the severity level is based upon. You can filter out so that you show low, medium or high-risk alerts.
The alerts are given a location that reflects where the incident took place. With the continent filtering menu, you can customize the display of alerts so that it only shows alert within Europe, Asia, North America, South America, Africa or Oceania.
With this filter, you filter out alert data for all users with a specific location method/ positioning method. A positioning method is the way the user’s location has been identified, and it can be any of the following:
Users with app (positioning via Safeture’s mobile application).
Users with static facility location (Static locations of your buildings where facility contacts are positioned through the facility address).
Users with travel booking (will use the airport location of the destination of the trip will be used to position users).
The time scale filtering menu lets you control the display of alert data in the “User Alert Timeline” chart. You choose to show alert data based on the following parameters: daily, weekly, monthly, quarterly, or yearly.
Here you can select the starting point of the time interval you are interested in displaying alert information.
Select the endpoint of the time interval you are interested in displaying alert information from.
User Alerts Overview – KPIs
At the top part of most data views, you find different KPIs. For the User Alerts Overview, you will see the following statistics:
This KPI shows you the total number of alerts that has been sent to any of the users connected to the selected account. This means that if the same alert is sent to five users, the number five will show here.
The logic behind which end-user receives what alerts is influenced by their location as well as their privacy settings.
Unique Alerts give you insights about the unique number of alerts sent to any of the selected users. So, if the same alert is sent to five users, the number will only show one here.
The Users KPI reflects the number of users that have received at least one unique alert.
The number of countries with users that have received a unique alert.
Categories give you data on the number of unique alert categories that the published alerts were assigned.
User Alerts Overview – Charts
User Alerts per Country
This chart displays the total number of alerts where you had any potentially affected users for a specific country. By hovering over the bar in the chart for a particular country, you can see the number of total alerts, unique alerts, and unique users who have received an alert in that country. This data aims to provide an overview of which countries your organization has been exposed to the most threat, seen to alerts.
Note: this chart follows a logarithmic scale.
User Alerts by Category
This chart displays the total number of alerts with any potentially affected users published for different alert categories. When hovering over an alert category, you will see the total number of total alerts, unique alerts, and unique users for that category.
With this information, you can see which type of threats that your organization has been the most exposed to, and take preventive measures based on those insights.
Note: this chart follows a logarithmic scale.
User Alerts Timeline
This diagram displays your organization’s alert data on a monthly timeline to visually display the changes in alert exposure for your organization over time. This information lets you detect any potential seasonal trends for alert publication.
Hover over a bar to see the data for total User Alerts, unique alerts and unique users.
Facility Alerts Overview
The Facility Alerts Overview presents you with similar information as the User Alert Overview except that the information is for alerts that have impacted your facilities.
Note that this tab is displayed even if the admin does not have access to Facilities in the platform.
The filtering menus of the Facility Alerts Overview tab lets you customize the display of data based a list of parameters. Many of the filtering menus is the same as in the User Alerts Overview tab explained above. Please read the information presented about those above.
Below, the unique filtering menus for the Facilities Overview tab are listed:
In this menu you can tick the boxes of the specific facilities you wish to display data from.
The Facility Region filtering menu lets you filter out facilities based on location.
This filtering menu enable you to include or exclude regionwide alerts – i.e. alerts whose impact area goes is set to cover a whole region. The options you can select is yes or no and lets you include or exclude such alerts in the data.
Facility Alerts Overview – KPIs
Please read the explanations of the different KPIs under the User Alerts Overview – KPIs heading.
The second analytics category is called Assistance and contains information on the handling of emergencies and communication with users. The statistics and charts of this analytics category help you to analyze past emergencies in terms of amplitude but also the resolve time, emergency locations, etcetera. With this data, we hope to give you insights into what areas within emergency response that you have the most potential to improve.
The Emergencies tab contains information on the number and location of emergencies that have occurred for your organization. This information lets you detect any up- or downward trends for your emergency exposure and management.
Many filtering menus are the same as those of the other data views. Please read the information presented about those above. Below, the unique filtering menus for the Emergencies tab are listed:
Minutes to Resolve
With this filtering menu you can select a timespan of which you wish to see emergency data for. The timespan is for the minutes it took from an emergency was created until it was marked as resolved in the platform.
Emergencies – KPIs
This number reflects the number of times that any of the selected users have pressed the emergency button in the Safeture mobile application and thereby initiated emergency mode.
Average Resolve Time (min)
Average time (in minutes) from when an emergency is initiated in the Safeture app to it being marked as resolved by an Admin user in the Safeture Web Portal.
Maximum Resolve Time (min)
The longest time it has taken to resolve an emergency for the selected time period.
Emergencies per 1,000 PNRs
Total number of emergencies per 1000 PNRs (Passenger name records). When hovering over the number, you can see the number of PNRs as well as the number of emergencies.
Call Outs to Local Emergency
This number shows you how many times any of the users have called the local emergency number through the Safeture app, such as 112, 911, etcetera.
Note: These call outs are excluded from all other emergency KPIs.
Emergencies – Charts
Emergencies Over Time
The Emergencies Over Time chart displays the total number of emergencies that have happened for the selected time scale (filtering menu). This data aims to provide you with an overview of the changes and trends in emergency occurrences.
This map view displays the geographical position of the emergencies for the selected users. When hovering over a chosen emergency, you will find information on the date and time, when the emergency was resolved as well as the total time it took from emergency initiation to it begin marked as resolved.
This graphical presentation of your organization’s emergencies intends to give insights into where, geographically, your risk prevention measures are of most need.
The Messages tab of the assistance category presents you with information on the frequency and type of communication sent through the Safeture Platform.
Many filtering menus are the same as those of the other data views. Please read the information presented about those above. Below, the unique filtering menus for the Messages tab are listed:
The Delivery Status Filtering Option lets you filter out messages that was either successfully delivered or not.
With this filter you can separate messages that has been send by an Admin User using the Communication Module from those automatically sent by the system. System-triggered messages might be pre-trip information, personnel in incident region messages, etcetera.
Messages – KPIs
App Push Messages
Number of app Push Messages sent to users. These notifications are automatically triggered by the system when the user needs to be notified of something in the app, for example an alert about an incident happening nearby.
Number of emails sent via the platform by an Admin user, or automatically triggered emails, such as pre-trip emails with information about a country that a user is traveling to, etcetera.
Number of SMS sent via the platform by an Admin user, or automatically triggered SMS. When hovering over this KPI you can also see the number of Welcome to … SMS, i.e. the SMS a user get when entering a new country.
Messages – Charts
Messages Over Time
On the left-hand side of the Messages tab, you will find this chart displaying the number of messages that were successfully and unsuccessfully delivered over time for each message type.
The graph displays data on the share of successfully vs failed message deliveries for the following types of messages:
- App Push Messages
- E-mail Sent
- SMS Sent
See definitions of these message types above under the heading “Messages – KPIs”.
Note: If you click on the text presenting the message type, for example “App push messages”, a list icon appears. When clicking on that icon, you will see the data in a list view that you also can choose to download.
Message Types Over Time
This chart shows trends and changes in your messaging frequency for various types of messages and through different channels. The pink share of the bars represents the share of Admin-generated messages, i.e. those sent to users via the Communication Module. The green share of the bars shows data on the number of System-generated messages, i.e. messages triggered automatically by some event in the platform. This can, for example, be welcome messages when a user travels to a new country.
Travels is the third analytics category, and it contains data about your organization’s travel patterns and the time spent abroad by the users.
The first tab within the travels category is called PNR Overview and contains data of the number and location of your organization’s travel segments.
What is a segment?
A segment is an itinerary item within a PNR. A segment might include a flight, car rental, hotel booking, train journey or other parts related to the passenger journey. For flights, a segment is the operation of a flight with a single flight number between then point where passengers first board an aircraft and their destination. Since a PNR might contain many different segments, data on the number of segments is needed to get a complete picture of an organization’s travel habits and frequency.
Many filtering menus are the same as those of the other data views. Please read the information presented about those above. Below, the unique filtering menus for the PNR Overview tab are listed:
Country Risk Exposure
The Country Risk Exposure lets you filter out travel data based on the overall country risk level of the destination. You can choose to filter out either all, negligible, low, medium, high, or critical risk.
Domestic / International
With this filter you can choose to only see travel data for either domestic or international trips.
The segment type filtering menu include the following options: car, flight, hotel, train, or all at once. By selecting one of them, you will have the data reflect that specific segment type.
With this filter you can choose to view data for either cancelled or actual bookings/ departures.
PNR Overview – KPIs
At the top-right corner of the interface, you will find the KPIs of the PNR Overview:
Here you see the total number of segments for the chosen segment type(s) and time period. A segment might include flights, car rental bookings, hotel bookings, train journeys and other parts related to the passenger journey.
The number of unique users traveling during the selected time period.
Percentage of total PNRs (Passenger name records) that are group PNRs, I.e., itinerary details for passengers traveling together as a collective unit.
Travel Time (days)
Here you see the total days that the selected users have traveled.
Number of unique Passenger Name Records.
The flight emission calculator estimates the quantity of CO2 emissions (in tonnes) that all airplane flights emit. The calculation is based on average consumption of data for typical short-haul and long-haul airplanes.
Users With App
Percentage of users using the Safeture app out of the total number of users. The total number of users also include users with a travel booking, but no app.
Distance traveled (km)
The total number of kilometers traveled.
PNR Overview – Charts
Segments Over Time
The Segments Over Time chart display data on the number of booking and departures in two separate bar charts.
Booking: The top chart of the Segments Over Time present data on the number of segments booked during a specific month.
Departure: The chart below contains data on the number of segments departing during the selected month.
The bars illustrate the share of actual (blue) and cancelled (orange) bookings/departures.
Segments Per Destination
This data view gives you a geographical overview of all your organization’s segments and quickly lets you identify what destinations in the world you have the most people traveling to. By clicking on any of the blue dots, the statistics and chart data on the page will reflect your choice of country.
The Travel Details page consists of a spreadsheet view with data on all your organization’s trips.
Many filtering menus are the same as those of the other data views. Please read the information presented about those above. Below, the unique filtering menus for the Travel Details tab are listed:
The country that the trip is departing from.
The country that a user is traveling to.
Travel Details Sheet
The travel details sheet contains the following columns of information for a travel segment:
- Departure Date: The date of the departure for the segment.
- Departure Country: The country that the trip is departing from.
- Arrival Country: The country that a user is traveling to.
- Arrival Date: The date when the traveling user will arrive at the destination.
- Segment Type: Refer to the type of booking that has been done. Might be flight, train, rental car or hotel.
- Country Risk at Destination: The country risk exposure column presents the risk level of the destination. This can be either negligible, low, medium, high or critical.
- Travelers: The number of users traveling for a specific segment.
- Distance Travelled (km): The number of kilometers traveled for a specific segment.
Arrival Destinations (PNRs) – Pie chart
This pie chart illustrates the share of all PNRs that has a particular country as the arrival destination. With this information, you can quickly identify where your organization travels the most. When hovering over a slice in the chart, you will see the exact number of PNRs in that country and what percentage that number represents out of the total number of PNRs. Below, you also find the destination rank for that country out of the total number of countries to which you have had any PNRs. The country with the most PNRs is ranked one.
Next to the pie chart, you find a list of the top three destinations. These are the three countries where your organization have traveled to the most, measured by the number of PNRs.
Time spent Abroad
The third tab of the travels category is called Time Spent Abroad. The data on this page is intended to give you a better understanding of both where in the world your organization spends the most time during travels but also the total time you spend abroad for a selected time period. The data is based on both historic app position data and travel booking data.
With this information, you can identify which countries you should focus your efforts around in regards to travel risk management.
Time Spent Abroad – KPIs
Number of countries visited by the selected users and time period.
Time spent abroad (days)
Total number of days spent abroad, i.e. time spent outside registered home region.
Time Spent Abroad – Charts
Countries Spent Time in
With this view, you can quickly see which countries the people at your organization, or your client’s organization, spend the most time during travels. A darker color on the map indicates more days spent in that country. Hover over a country to see more detailed statistics, such as the total days spent there, the average days spent there, the number of segments and the number of users. You can also view that data for different regions within that country when hovering.
Time spent abroad (incl. 6 months forecast)
With this graph, you can see trends and patterns of how much time your organization spend abroad over a specific time period. Also, it includes a forecast, i.e., predictions of how much time your organization expect to spend abroad the coming six months.
This forecast is done using the number of hours from the time when the user left the home region/s. So, the total number of hours abroad is then divided by the number of users and region.
The fourth analytics category is called Usage and contains data on the frequency and type of platform usage among users of both the Safeture Mobile Application and Web Portal.
The App Usage tab contains data on what app content is the most relevant to users and how much they use the Safeture Mobile Application overall.
App Usage – KPIs
The App Usage data view contains the following KPIs to give you a complete picture of how and to what extent the end-users are using the Safeture mobile application:
Number of sessions with the app. A session is defined as the series of actions performed in a row during a log in. If the user is inactive for over 10 minutes, the session is seen as over.
Number of unique users that have been using the app for the selected time period. Multiple sessions by the same user will still only show the number 1 here.
Number of interactions in the app. An interaction might be a button being clicked, alert being read, etcetera.
The number of times that users have marked for an alert that they are OK.
Actions per Session
Average number of actions per session.
The number of times that alerts have been read.
Average Session Duration (sec)
The average amount of time, measured in seconds, spent interacting with the app per session.
Manually Reported Locations
Number of times that users have pressed the check-in button in the app.
App Usage – Charts
Average Usage by Day
The average app usage by day consists of two charts:
Average Sessions: The green bar chart at the top presents the average number of sessions that has been performed for the selected time interval and users. Each bar reflects a weekday. You can hover over a bar to see the trends in usage.
Average Unique Users: The blue chart below shows you the average number unique number of users per weekday. If a user logs in to the platform multiple times during a day, they will only be registered once in the statistics of unique users. Just like the chart for average sessions, you can see the absolute number of sessions per day and trend when hovering over a bar.
Clicks per Type
Clicks per Type is a chart whose purpose is to give you a better understanding for what kind of content is used in the Safeture app. The bars represent a content category and when hovering over one of them you can see the exact number of clicks for that content category.
If the frequency and type of usage of the mobile app are not aligned with what you intend for your organization, you can detect that with this graph and take action to encourage a different usage.
Sessions per Location
This map view illustrates where the users are located when using the Safeture app. Hover over a country to see the total number of app sessions performed in that country for the selected time interval.
App Installations is the second tab of the Usage Analytics category and it shows you to what extent your people have downloaded the Safeture app. With these insights, you can take action to motivate a higher degree of app activation and see the result of such measures.
App Installations – KPI
Users with Installed App
The number of users who have installed the Safeture mobile application and have activated the service.
App Installations – Charts
The Installation History consists of three different charts:
- Installations: The green chart at the top contains data on the number of app installations performed by your users. When hovering over a bar you will se data for all three charts for that specific quarter.
- Deletions: The bars in the red bar chart represent the number of deletions, i.e., the number of actions where a user has deleted the Safeture app or deletions due to inactivity.
- Net Installations: The orange bar chart shows the net installations, i.e. the total number of installations minus the deletions.
Installations by Country
This map view shows the same type of data as in the Installation history chart but adds the geographical element to the data as well. It lets you see how the installation rates vary for different countries.
Number of Apps
This chart is located at the bottom-right corner of the interface and illustrates the changes in the total number of active apps. When hovering over a bar in the chart you will see the exact number for that month.
User App Devices
The User App Devices page contains data about what kind of device type and operating system version people are using.
With this filter, you can choose to view data specifically for deleted or active apps.
User App Devices – KPIs
The KPIs of the App User Devices lets you quickly detect how many of the selected users with the Safeture app are using iPhone compared to Android.
User App Devices – Charts
Device Type by Country
This chart shows the share of iPhone users compared to Android users for a specific country. All countries where you have any user with an active app will be included in this chart. Hover to see the exact percentage for a specific country.
Device Type OS Versions
This chart specifies which operating system version that the users are currently using.
The minimum required version of the operating system for the Safeture app to work are version 9 for iOS and version 5.0 for Android. With the data provided in this chart it is possible to detect if there is a need for the users to update their OS version in order for the Safeture app to work properly.
Current Users with App and Location Settings
This tab lets you identify the number of users with the Safeture mobile application as well as the share of users who have chosen a specific privacy setting – which further decides their location accuracy. This information is also plotted out on a map to show the information in a geographical context.
Current Users with App and Location Settings – KPIs
Users with privacy settings or location data that only provides information on the country of the location. See both the total number, and percentage, of users with this privacy setting.
Users with privacy settings or location data that provides information on the region or state of the location. See both the total number, and percentage, of users with this privacy setting.
Users with privacy settings or location data that only provides information on city of the location. See both the total number, and percentage, of users with this privacy setting.
Users with privacy settings or location data that provides the exact location. See both the total number, and percentage, of users with this privacy setting.
Note: There are many benefits for both the end-user and the Admin when an end-user have exact location activated in the app. With an exact location, the end-user will get more relevant alerts based on where they are located, and the Admin user can prioritize better and focus on the right users exposed to actual risks. With the data in this part of the Analytics Module you can see the share of users who are sending their exact location to the system and analyze if there is a need for measures to increase the share.
Users with Installed App
Total number of users with the Safeture app installed on their phone.
Latest Reported Location
Here you will find details about the number of unique users located in a specific country. The user location represents the latest reported location.
If you click on a country in the map, the KPIs at the top will reflect that choice and only show data for that country. By doing so, you can see what privacy settings the users have chosen in the Safeture app, for that selected country.
The last tab of the Usage category of the Analytics Module, you find usage data specifically for Admin sessions within the Safeture Web Portal.
Admin Sessions – KPIs
The total number of sessions. A session in the Web Portal is a series of actions performed during the same login. If there has been no activity during 10 minutes the session is defined as ended.
The number of unique Admin users that have used the Web Portal during the selected time period.
Admin Sessions Over Time
This chart displays the total number of Web Portal sessions on a monthly basis. Hovering over a bar will give you information on the number of unique Admin users and ultimately the average number of sessions per user on a monthly basis. Identify changes or trends in the usage patterns among Admin users.