This has been an age-old promise, but I see two primary bottlenecks that keep surfacing. First, non-IT experts don't understand the trade-offs involved in thei

This has been an age-old promise, but I see two primary bottlenecks that keep surfacing. First, non-IT experts don't understand the trade-offs involved in their decisions. They may make a barely "good-enough" decision to get started via trial-and-error, but it often doesn't take into account a lot of implications because they don't know what questions to ask themselves and others. Second is that existing data is not very malleable. Once production data is created, it sets conventions in stone that are not easy to change. You cannot change your data structures and relationships without a lot of manual re-translation of the data itself. Therefore, early decisions make a big impact, bringing us back to the first bottleneck. A better use of resources is perhaps to make IT professionals faster rather than try to make non-IT people into instant IT professionals.