Analytics Magazine Analytics Magazine, March/April 2014 | Page 31

An example of information decay that marketers would recognize is the half-life associated with GRPs/TRPs or impressions to create a derived metric – ad-stock, used to quantify the impact of marketing. The delayed effects of marketing campaigns have been well understood and have been successfully leveraged to measure short- and long-term effects on revenue and brand equity. WHY DOES INFORMATION DECAY? Every information entity should have an attribute called “information decay” that describes how the value of this information decreases over time. but the rate of information accumulation is accelerating as well. Combine that with a highly dynamic business environment, and it starts becoming clear that the value of each information entity is decreasing at an ever-faster rate. There is no better example of information decay than that of the Oakland A’s from 1996-2004, famously storied in the book “Moneyball.” Starting in 1996, the team adopted a novel approach to scouting, driven by using an analytical, evidence-based (“sabermetric”) approach. The results were dramatic, as the A’s made it to the playoffs four straight years starting in 2000. Other teams then caught on, and the A’s lost their advantage rapidly – a case of rapid information decay. A NA L Y T I C S Information decays for several reasons, and, as is usually the case, more than one of the following reasons is typically at play: Information becomes outdated: In many situations, information has a temporal value that decays unless refreshed on a regular basis. Consumer credit scores, for instance, need to be continuously refreshed in order to retain their value, which is directly impacted by the refresh frequency. In a world where a combination of data a