Big Data says Kevin Spacey is a beloved and crowd-favorite actor. Netflix reaches out to Spacey for their original show “House of Cards.” House of Cards’ pilot rated well by a wide demographic spread. Citing that big drama thrillers involving murder and mystery score high with many people.
For Netflix’s next hit, they go back to Big Data, and find that Kevin Spacey is still beloved and a crowd-favorite. Spacey is locked in for their next hit in 2018’s “Embassy Detective.” He plays a tough-nosed international detective solving crimes ripped from today’s Buzzfeed headlines. Jennifer Lawrence guest-stars as a season one mastermind villain because statistics show that Jennifer Lawrence rates highly when she’s plays tough-nosed characters.
For Netflix’s next show, Big Data says that people enjoy surprises like when Jennifer Lawrence guest stars in shows like 2018’s hit “Embassy Detective.” So Netflix’s next show is a gritty sketch show with an ensemble cast. (Stats show that people are fatigued from drama thrillers, but still love grittiness.) Every episode features a surprise guest ranging from well-loved Andy Samberg, recent host of the Emmy’s, and crowd-favorite Kevin Spacey (slated to be next year’s host of the Emmy’s.)
“If I had asked people what they wanted, they would have said faster horses.”
—Henry Ford
The greatest and easiest danger in applying deep trend analysis to creative categories will always be forgetting to be creative in asking questions in the first place. Always asking the same questions will lead to repetitive and imagination-poor answers.
So the challenge to data scientists in creative fields will be how imaginative can they ask their questions?
As opposed to asking who will be a popular actor for a particular show, maybe ask if an episode needs to be 23 minutes?
What are audience tolerances for 90 minutes (films), 12 minutes (Adult Swim cartoons), 30 seconds (Vine)?
What sort of trend analysis could have predicted the seven millions views for the 11 minute “Too Many Chefs?” How can you slice the data in unorthodox ways to frame experiences that audiences will find refreshing or novel or just plain interesting?
The ease of tools doesn’t magically make a sculpture better by virtue of it existing. It still requires work and content to be invested into the artifact regardless.