The clearest gains so far are in time and confidence. The daily order statistics used to cost Lene about 15 minutes every morning, pulling and assembling numbers by hand; that work now runs automatically. Monthly statistics – including reporting to industry organisations across Denmark, Germany, the UK, and the rest of Europe – once took around an hour.
"What used to take me an hour now takes about fifteen minutes," says Lene Stensig Ballebye.
Because the figures come straight from the system rather than from one spreadsheet copied into another, there is far less room for error – and far less of the "are you sure those are the right numbers?" back-and-forth that used to come with it.
The reporting has also become self-service. Instead of pushing spreadsheets out by email and interrupting people's work, colleagues open Power BI when it suits them:
"Now they can go in and look whenever they want," Lene notes – daily, or just on a Monday, depending on the role.
For the business as a whole, the shift is from reacting to anticipating: purchasing can see what is about to run short, internal sales can flag orders at risk of slipping, and decisions rest on numbers that are easy to reach rather than on gut feel.
It is worth being clear about what cannot yet be measured. HWAM is currently in its low season, so the full effect on delivery performance will only show once the high season returns – and the team is deliberately not claiming that result before they can see it.