Capability
Data and automation
Removing manual work, and making the numbers trustworthy enough to decide on.
Two related problems. People doing by hand what a system should do, and reports nobody quite believes.
Both come from the same root: one real-world thing represented in several places, disagreeing.
The principle
One real-world concept has one canonical representation. Views are projections of that, never separate copies. Almost every reporting problem we have seen is a violation of this rule wearing a different hat.
Automation follows the same discipline. We map what actually happens, including the exceptions people handle quietly, before automating anything — because the exceptions are usually where the value is.
Where numbers inform decisions, we make the derivation visible. A figure nobody can trace is a figure nobody should act on.
We will not automate a process that is wrong. Making a bad process faster produces the wrong outcome more efficiently.