Institute of Information Science, Academia Sinica

Mobile apps have emerged as the mainstream in consumer software industry. Many developers take the "start from small" strategy to gradually acquire the early adopters from a very competitive market. However, to data analysts, this strategy leads to some misconception that the data behind some toy-like apps are of low information density and value. In this talk, I share my personal experience in dealing with the data behind some apps, and show that some of the data analysis tasks are actually very challenging and subject to the well-known "Variety" and "Veracity" barriers of big data processing. Our results show that innovative perspective/models are a key for driving unfair business advantage.