For me, I think it's not so much NIH syndrome but resentment at pricing among analytics products that seems calibrated to extract as much value from the custome

For me, I think it's not so much NIH syndrome but resentment at pricing among analytics products that seems calibrated to extract as much value from the customer as possible, which they can do because there is so little direct competition and because the ROI is usually still positive. It's a perfectly rational pricing strategy, of course, but it can sometimes feel like one of those economics experiments: "A colleague receives 100 dollars and is asked to split it between him and yourself. If you disagree with the split, neither of you gets anything. Your colleague proposes to give you 10 dollars and keep 90 himself. Do you choose to accept the 10 dollars, or would you prefer both of you get nothing?" Also, your examples are about ancillary utilities, but let's say you're a data scientist and you decide to build your own A/B testing system instead of using one of the existing services out there. If you add up all the dev time and maintenance time the homegrown system will probably be way more expensive, but on the other hand building it might teach you a bunch of intangible skills that make you a better experimenter and that could be worth the expense if the company expects employees to stick around for a while. Having said that, personally I still prefer to just pay for something. But I'm not at all stunned when other people do decide to roll their own tools.