Fine-grained measurement is useful when you have options for fine-grained action.
You don't need a chip to tell you that the soil is dry, but if you can use that chip to regulate drip irrigation that can apply substantially different flow to different plants, then you can get a not-too-much, not-too-little watering even if you have a big variation in conditions.
You don't need a big analysis to acknowledge that everybody knows that a particular competitor has lower or higher prices and adjust your pricing; but doing that continuously on a per-product basis does require data and analysis.
Agreed. But how many executives will agree to take these fine-grained actions to achieve value from the data? How many data teams are able to build up a strong-enough argument to convince them?
I've worked on many product-led-growth initiatives in the software industry. The software industry is probably the biggest 'believer in data' there is -- many scientific-forward minds who understand the value. However, even in the software industry, it's really hard to convince folks that if you make 5 improvements that net 1% conversion gain each, you can dramatically improve revenue.
You don't need a chip to tell you that the soil is dry, but if you can use that chip to regulate drip irrigation that can apply substantially different flow to different plants, then you can get a not-too-much, not-too-little watering even if you have a big variation in conditions.
You don't need a big analysis to acknowledge that everybody knows that a particular competitor has lower or higher prices and adjust your pricing; but doing that continuously on a per-product basis does require data and analysis.