Hacker News new | past | comments | ask | show | jobs | submit login

The "ingredients" in this analogy are mostly human capital/contractors and locations used in pre/production/post. For example, Netflix doesn't really have the ability to see how much the choice of caterer on set influences their churn.

That's contrived, but I hope it illustrates the point. There are dozens to hundreds of these contractors who work on serious productions, and some studios are more integrated than others when it comes to hiring them for different phases of the process. And the sheer amount of real estate and personnel involved in these ecosystems is beyond what Netflix is capable of exploiting today.

And while Netflix is uniquely capable of collecting some extremely useful data (which they guard like the crown jewels), I'm not aware of them getting granular with production pipelines to see how changes influence their revenue. And if they were, I'd be skeptical given the amount of variance, since every production is different despite massive efforts to standardize the process. It's a very human problem domain.




Netflix is in fact getting quite granular with production pipelines, as evidenced by this blog post - https://medium.com/netflix-techblog/studio-production-data-s...




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: