Watching the Big Game This Weekend? Think About This.
By Phil Fiero
The one way you can predict if the Patriots or the Falcons will win the Super Bowl is with advanced analytics. Everyone from sports experts to data geeks, like myself, are making predictions around who will win Super Bowl LI– although I have a personal bias to the Patriots being based in Boston. Leveraging available data like number of rushing yards per player, wins/losses for each team, changes to the lineup, and weather forecast, can help predict the winner. And, thanks to technology like sensors on pads and helmets that show where and how players move, even more data is available at the individual player level that can ultimately determine the outcome of games.
As you make Super Bowl bets based on data-driven predictions, think about how analytics can be applied to the work you are doing around population health. How much do you pre-game with your health and well-being programs? Probably not enough if you are only using limited data sets. The current healthcare system typically looks at consumers from a clinical perspective, which is a very small percentage at about 10% of the total data available about each of us as individuals. This includes diagnosis codes, claims history, biometric information, etc. While this data is important and insightful, it’s not enough, because consumers are only episodically in the sickcare system. Consumer data, like family status, income, education, spending habits, etc., are much more insightful and help provide a complete picture of the playing field. A wider view of the consumer can boost your prediction capabilities, helping you to forecast behavior, impactability, and ultimately drive engagement with personalized guidance to each of your consumers.
Advanced analytics is the best way to reveal risk, receptivity and impactability for your population, as well as your football team. Otherwise, it is like making a call without seeing all the players on the field.
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