This case study shows how a European shipping company used simple data analysis to figure out why their security officers were often absent. By understanding the real reasons, they made changes to the jobs themselves, which led to fewer absences and saved money.
The shipping company had a big problem with security officers not showing up for work, even though they paid them well. This meant they had to rely a lot on temporary staff, which was expensive and probably made things less consistent. They couldn't figure out why people weren't engaged and attendance was low.
The HR team didn't use fancy software; they went back to basics. They carefully looked at what the security officers actually did in their jobs and talked to them in group discussions to hear their experiences. They also tracked absence numbers using a simple spreadsheet. This helped them see that the jobs felt very routine, there wasn't much teamwork, and people didn't feel their work had much meaning. So, HR redesigned the roles to make responsibilities clearer, encourage more teamwork, and help officers feel their work was important.
After making these changes, the company saw a significant improvement. Absences dropped by 6% within a few months, and they saved 350,000 Euros because they didn't need as many temporary workers. Beyond the numbers, the teams felt better about their jobs and worked together more effectively, which is a great human outcome from a data-driven change.
If you are thinking about solving an HR problem, don't assume you need complex technology; sometimes simple conversations and basic data tracking can uncover the real issue. One thing to watch out for is that high pay doesn't always solve engagement problems; people also need to feel their work is meaningful and they are part of a team. The biggest lesson here is that understanding the root cause of an issue, even if it's not what you initially expect, allows you to make targeted changes that have a real impact on both people and the company's finances.
This case study was automatically discovered and curated by the Lumi Intelligence Agent from aihr.com.
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