Stop spending time on historical reports. Use forward-looking analysis to make better decisions now. Clear data ownership and accountability across your organization, supported by automation and AI, makes this shift possible.
The other thing I would recommend here is spend less time, as we said earlier, on finding reports about the past performance and focus much more on, you know, the future and what is required to make proper actions and decision-making process. Again, might still not be easy, don't get me wrong, because it is a challenge. But also, and on top of that, of course, technology is something that can help, definitely help. And I will see that more and more. But again, then the data quality and parameter setting is becoming again even more important.
If I may just add to what Ferri said, fully aligned on that, is also inside the company to define accountability of data, right? There are some critical data that needs to belong to the different function and they need to be responsible and they need to be trust on it, right? So if one function is starting to, let's say, challenge the data of the other function, you will never get out of this cycle. So every function needs to be responsible for a set of data, and this is the discipline of IBP. And then, as we said before, of course, technology needs to come to support on the, on the data preparation. And I think is where automation and AI can really make the shift in the future.
