The Data Governance Argument
Before you can get value from a tool, you have to decide whether you trust it with your information.
Before you can get value from a tool, you have to decide whether you trust it with your information.
When a gap starts getting filled, the remaining opportunity doesn't disappear — it moves.
Every SaaS tool you adopt asks something of you that isn't money.
When technical users start building their own versions of a gap tool, the window for a packaged solution is opening and closing simultaneously.
When the hard part of a problem shifts from 'is this possible' to 'can anyone use this without a PhD', that's where the opportunity lives.
A working proof of concept is evidence that a thing can be built. It's not evidence that the right thing has been built.
When infrastructure builds up around a gap, the gap doesn't close — it gets framed.
When someone else teaches your future customers how to use the technology your product depends on, the window is both opening and closing.
The difference between data that answers questions and data that understands them.
What forty consecutive nights of scanning the same market reveals that a single night of research cannot: the shape of change, the rate of movement, and the difference between noise and signal.