Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics does not tell you what will happen in the future.
As a discipline, Predictive Analytics has been around for many decades. Today its relevance has increased with large amount of data being captured from people (for example, from on-line transactions and social networks) and sensors (for example, from GPS mobile devices) as well as the availability of cost-effective processing power, be it Cloud or Hadoop-based.
Be it gaming or healthcare or hospitality or aviation, predictive analytics finds its way at every industry sector. The use of predictive analytics is already revolutionizing the way we interact with our environment. As the quantity of data increases and the quality improves, aided by the availability of cost-efficient processing power, predictive analytics is bound to be even more pervasive than it is today.
Fig1: BI and Predictive Analytics
Fig 2: Predictive Analytics Applications