Prepare upcoming travels through data-driven conclusions

In the second part of the series, Diana was on location in Libya for her work and experienced a few minor risk situations that required assistance. This third and final part of the series emphasizes actions that support the implementation of Duty of Care upon returning home from a business trip.

Overview

Diana’s business trip to Tripoli, Libya, is completed. She uses the check-in feature on the Safeture mobile application to notify security manager John that she is back home. In addition to John’s preparatory work and the work he did during Diana’s trip, John is responsible for ensuring that Umbrella Ltd’s Duty of Care also extends to the post-travel phase. Thus, an evaluation of Diana’s trip and an overall situational analysis of the company’s People Risk Management lies before him. 

Introduction

Part of John’s standard procedure after completed business travels is to conduct an evaluation of the company’s People Risk Management. This can elicit important lessons that can be useful for future business travels. John wants to create improvements for the employees’ safety continuously. Consequently, he does not want to jump to conclusions but rather drive data-driven decisions. He has an eye for detail, an analytical mindset and strives toward implementing as many proactive initiatives as possible. Hence, he will focus on data analysis during the post-travel phase.

The problem

During Diana’s trip to Libya, a high-risk destination, two minor incidents occurred: 

  • Civil unrest disturbances in Tripoli’s center while Diana is in a meeting on the city’s outskirts. 
  • The potential risk of carjacking when Diana and her Security Detail are in the car on the way to another meeting location. 

The incidents are a testament that, despite extensive preparations before Diana even entered the country, risk-filled situations can still arise. With that being said, John identifies a gap between the proactive and reactive work that needs to be bridged through data.

Solution

John opens the Web Portal and goes to the Analytics Module. He downloads data sheets for all four analytics categories: 

  • Alerts 
  • Assistance 
  • Travel 
  • Usage
The overview of the four categories in the Analytics Module.

He begins reviewing the Alerts data. He studies the information and takes notice of the chart ‘User Alerts by Category’ under the User Alerts Overview tab. It tells him that civil unrest, which Diana was alerted about in Libya, is one of the alert categories at Umbrella Ltd with the highest number of alerts. John remembers that there is an email subscription available called ‘Personnel in incident region’, which he immediately activates. Furthermore, when looking at the ‘User Alerts Timeline’ chart, he also pinpoints a trend of an increasing number of total alerts sent to users during the last six months.

John continues his analysis by studying the Assistance data. He enters the Emergencies tab, which among other things, informs him that the ‘average resolve time’ for emergencies is currently at 1011 minutes. Pleased to know for sure that Diana’s potential carjacking was resolved more quickly, he notes that he would like to lower this KPI (Key Performance Indicator).

Assistance data; KPIs in the Emergencies tab.

He moves on to the Travel data, under the PNR Overview tab, where one of the most noticeable sections is the ‘Users With App’. Apparently, only 67% of employees at Umbrella Ltd have the Safeture App, with Diana at least being one of them. Moreover, under the Time Spent Abroad tab, he reviews the chart ‘Time Spent Abroad’, which includes a forecast for the six coming months. Considering that the total number of alerts has increased during the last six months, the forecast indicates that lowering the amount of authorized travel in the near future could be a solution to the potential risks that Umbrella Ltd’s traveling employees otherwise may face. 

Finally, John analyzes the Usage data. One aspect he notices under the Current App Users With App and Location Settings tab, is the spread of location settings among the employees. Diana is among those that have the “exact location” setting, which served them both well during her trip to Libya. However, the percentage is only 78,7%, implying there is room for improvement. 

Chart of Time Spent Abroad, including the six month forecast.

Outcome

Through John’s analysis, he has identified several areas of improvement. Based on the data accessible in the Analytics Module, he will focus on the following actions: 

  • Produce a detailed action plan for civil unrest alerts with a ‘High’ risk level.
  • Implement stricter travel authorization for employees, considering the increasing frequency of alerts.
  • Initiate discussions with assistance providers on how to lower the average resolve time for emergencies. 
  • Run an in-house campaign to increase the total amount of users at Umbrella Ltd using the Safeture app. Simultaneously encourage them to select exact location in ‘Privacy Settings’.  

Conclusion

The series about Diana, her trip to Libya and the work of Security Officer John highlights how Umbrella Ltd is improving their People Risk Management. Thanks to solid preparatory work before the trip, well-functioning reactive processes during the trip, and finally thorough evaluation after the trip, Diana can feel safe during future business trips. Through the Safeture Platform, people can get immediate help in critical situations, which ultimately supports employers’ Duty of Care.


Have you missed part 1 and 2 of the series about Diana and John? Read them now:

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