Poker, Predictive Analytics, and Big Data

It is a great metaphor for business. In each, we rarely can rely upon perfect information.

Introduction

I’ve been playing poker ever since I was a kid. Since that time, I’ve become pretty good at it. I moved to Las Vegas about 18 months ago and, in that time, I’ve won more than I’ve lost. I’m just lucky, right?

Probably not. Many people fail to understand that the odds in a casino vary tremendously. It all depends on what you’re playing. Some games represent much better bets than others. Let’s say that you play blackjack by the rules (read: not hitting on 18 when the dealer is showing a six). In this scenario, the house still holds an eight percent advantage. In roulette, if you bet on black or read, you have a 47.3 percent chance of winning (18/38). (You’ll never find favorable odds in a casino, at least by “legal” means.)

Playing the Odds

Now, poker is not roulette. The latter is pure luck; there’s no “strategy” here. By contrast, poker is as much about skill as it is luck, and people much better than I will tell you the same thing. Pros like Johnny Chan don’t get dealt pocket aces more often than your average player. They succeed because they play different types of hands, mix up their strategies, know when to lay down their cards, and, most important, routinely pick up valuable information about other players at the table. And, more often than not, it’s this valuable data that helps them win tournaments.

Poker is not roulette.

Now, even perfect information will not guarantee a favorable result. For instance, in Texas Hold’em, let’s say that I’m holding pocket Kings (aka, “cowboys”) and I correctly surmise that my opponent is holding Jacks (“hooks”). He goes all-in and I quickly—and properly—call. I have an 81 percent chance of winning the hand. That is, four out of five times, I’ll win that showdown. Of course, 20 percent of the time I’ll lose. (Over the years, I’ve been “rivered” more times than I can count.)

Simon Says: Embrace the Poker Metaphor

The lesson here for mid-market organizations is that, while information inheres tremendous value, it guarantees nothing. In poker, even the worst hand in Hold’em (deuce-seven off-suit) can still “crack” the best hand (Aces—aka, “rockets”). However, over time, if you consistently play “premium” hands properly, you stand a much better chance of winning than if you play marginal hands in a sloppy manner—or worse, go on tilt.

Organizations that use Big Data well are tantamount to the Johnny Chans of the world. No, they won’t always win, but I’ll bet on these progressive companies every day of the week.

Feedback

What say you?


I wrote this post as part of the IBM for Midsize Business program, which provides midsize businesses with the tools, expertise, and solutions they need to become engines of a smarter planet.

philanimated

Navigation

BACKRANDOMNEXT

Filed Under



Enjoy this post? Click here to subscribe to this RSS feed or here to sign up for my bi-monthly newsletter.


Trackbacks/Pingbacks

  1. Phil Simon: The New Microsoft: A Plank in Other Platforms - […] to popular belief, though, not all games of chance are created equal. For instance, poker is fundamentally different than roulette.…
  2. Hold or Fold - Playing Your Big Data Hand to Win | Analytics Insight - […] data-driven formula will usually win out in the end. As Phil Simon says in his blog Poker, Predictive Analysis and…
  3. Phil Simon: Why I Often Answer Analytics Students' Questions with Questions - […] written before about the parallels among poker, analytics, and Big Data. Brass tacks: To be successful at poker on…

Submit a Comment

Your email address will not be published. Required fields are marked *