The old way of working no longer sufficed
Woonstichting ’thuis works LEAN: continuously improving processes and measuring whether those improvements work. But the standard reports from sector suppliers didn’t match their own KPIs and processes. Reports that stalled, long recovery times when errors occurred and a small internal team to do something about it.
The consequence was clear: process owners got their numbers too late or too slowly, improvement initiatives stalled, and trust in the data crumbled. Every time a dashboard didn’t work, time went into firefighting instead of the real work.
“We want to spend our time on our tenants and our homes, not on reports that don’t do what they should.”
Yres: reports that move with your process
After comparing other sector parties, Woonstichting ’thuis chose Yres, part of Plainwater. Not the safe, familiar choice within the housing sector, but the choice that fit best on substance.
No standard reports that force your process into a straitjacket, but dashboards and reports that match the way your organization works. Thanks to three-week sprints, Woonstichting ’thuis knew exactly which functionality would be delivered and how the project was progressing. At the same time, Yres reduced the complexity toward Power BI, which cut down administration tasks and makes any errors faster to trace.
Reliable data you can steer on
The difference is noticeable. Reports refresh faster, errors are found and fixed earlier, and the data is up to date. As a result, trust in the numbers grows and process owners can steer on relevant data again. For Toin that means more grip and predictability: every sprint delivers what was agreed, sometimes more.
And that is exactly where the gain lies. The time no longer spent checking and repairing reports goes to the work that counts: the tenants, the homes, the neighbourhood.
“We can finally measure whether our improvements actually have an effect. There hasn’t been a single sprint that disappointed me.”
AI can only mean something once your data is in order
Everyone talks about AI, and at Woonstichting ’thuis it is on the agenda too. But Toin is down-to-earth about it: ‘AI only makes sense if your data is right. A model running on shaky numbers gives shaky answers.’
The data maturity this organization is now building with reliable, transparent and up-to-date data is exactly the basis on which AI can add value later. Opportunities arise to flag maintenance earlier, better predict where liveability will come under pressure and reduce manual work. The biggest challenge for the coming years is therefore not AI itself, but getting your data in such good order that AI can actually do something.
“Without reliable data, AI is pointless. We are laying that foundation now.”
That may well be the core of our collaboration. Better reports are not a goal in themselves. They give a social landlord back two things that are scarce: reliable numbers to steer on, and time for the work that really matters.
