Delivering actionable insights in real time by moving from batch to stream processing: a digital media case study
In early 2016 one of our online media customers came to us with a problem. Our customer, a media giant, hosts articles from its newspapers and magazines on its websites. Each of the articles’ web pages has three ad blocks, and the customer buys paid redirects to the article pages. They then analyze how much is spent on the redirects and how much it will earned from the ads. If an ad campaign proves to be profitable, the company may spend more money on it in order to earn more. It also uses analytics to determine its most popular journalists, most popular articles, and trends in what people are reading.