Netflix has been the poster child of combining data-driven growth with creative choices. At its core, the Netflix big data approach to media has resulted in more personalized entertainment experiences for subscribers and better creative decision making.
Grubhub – the leading online and mobile food-ordering company, with 8.2million active diners and 50,000 restaurants in its network across 1,100 cities – is redefining the way people order food. Insights from significant amount of data generated is helping the company refine the food-discovery process for its diners, i.e. right food at the right time at the right price. On the other hand, the restaurants are able to optimize their delivery footprints, pricing and online profiles. Let’s see how Grubhub does all of this.
Netflix is a best-in-class example of the use of data in the media industry.
This post discusses Netflix’s reliance on network effects, and risks and benefits of their current model to attract users and content owners to their platform.
Data is creating value at Hulu through its selection of content to invest in, its search recommendation engine, and its advertisers.
Netflix exhibits both direct and indirect network effects through its recommendation engine, content acquisition process, and enabling devices.