We funded watching the number. We did not fund defining it.
Ironic subject line on file: “Category Raises Series D To Confirm The Dashboard Is Still Wrong, Faster”
Data observability raised a fortune to tell you the instant a number breaks. It is genuinely useful, and it is also a confession: we will invest heavily to monitor a figure we never agreed on. One floor down, master data management has returned wearing an AI badge, because models need the single definition of "customer" that MDM always promised and rarely delivered. Put the two together and the week's lesson is plain — money flows readily to the instruments that watch the work, and reluctantly to the boring meeting where the work is actually decided.
Data observability raised a fortune to watch the number. Defining the number raised nothing.
You can monitor a metric to the second and still not know what it counts.
Master data management returns wearing an AI badge. The job description has not changed.
The models needed one definition of "customer." That was always the assignment.
A perfectly monitored metric you cannot define is a smoke detector wired to a room with no address.