My reaction to that analytics post was less disagreement than frustration at how much it skimmed. It introduced genuinely interesting territory and then rarely stayed long enough to do anything with it. There were references to measurement maturity, predictive thinking, strategic data use, but so much of it stayed at summary level. I wanted depth, examples, tension. Instead many sections felt like they were naming important things rather than examining them. The biggest miss for me was how little it dealt with interpretation. Analytics is not just collecting signals. It is deciding which signals distort, which matter, and how organizations misuse them. That complexity barely showed up. The article also seemed very tool-centric at moments, as if analytics success follows from sophistication alone. Often it depends far more on judgment and organizational behavior. That was almost missing. It was readable, even polished, but it felt like a strong outline waiting to become a stronger article. Sometimes overview writing is useful, but this felt positioned as insight and delivered mostly orientation. For a subject that rich, that gap was hard not to notice.Expected more depth from that analytics post honestly
