Explaining the Business of Entertainment
Last week, Bob Iger said in an interview with Barron’s that Disney had no plans to start releasing new Star Wars films—by which he means the ones that will come after Episode 9, releasing later this year—on Disney Plus, their soon-to-be streaming service. I agreed with this move. Some didn’t.
Here are some fun stats. What do they tell us? – Netflix over the summer had 80 million customer accounts watch one of their Netflix Original Romantic Comedies. – Netflix had 20 million streams for The Christmas Chronicles over the last weekend. – Amazon Prime/Video/Studios had 14.7 million total customers
If you own a retail company, you know what you should do? Enter the TV business. In the glorious tradition of electric companies and liquor salesmen, now the big box and online retailers are entering the biz. Here come the retailers! Other Contender for Most Important Story of the Week
The last two weeks have featured key new moves in the multi-dimensional chess match that is the future of TV viewing. (For some of my thoughts in general, check out my NBA-to-entertainment translator where I throw a lot of fun analogies out about old and new media.) Most Important Story
Was there a big awards show last week? There was! I should write a lot about that, right? Nope. My most important story of the week isn’t the Emmy, though it’s a story that is a few weeks old, so the “this week” part seems not quite right. But it’s
Hope you enjoyed a lot of discussion on M&A in entertainment & media, with more to come next week. Here’s my weekly call for the “most important story of the week” and some other good reads or listens. Most Important Story of the Last Two Weeks – Comcast/Disney/Fox battle for
A few weeks back, I explained why “small sample size” dooms any effort to use big data to predict box office performance of feature films. But what about TV shows? What about streaming services? Can’t they use advanced algorithms to predict success there? Nope. As “No, Seriously, Why Don’t You
No. That’s a quick article! Just one word and you can continue on to elsewhere in your internet with too many articles to read. Oh, you’re still here. Well, I do have some more thoughts, so let’s keep going. Since this website is still gaining steam, I haven’t had time
If you want to know the “holy grail” for data scientists, I’ll tell you: Predicting box office performance of movie scripts. Here’s how it goes. An aspiring data scientist—ranging from bright undergraduate in computer science to a Ph.D. candidate in statistics to even tenured professors—looks for a new topic. They’re