Harvard Business School gives NFL an "F"

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https://finance.yahoo.com/news/why-...de-at-harvard-business-school-184219499.html#

If the NFL were run like Google (GOOGL) or Amazon (AMZN), “Deflategate” probably never would have happened.

That’s the implication of a new case study instructors at Harvard Business School have developed to help teach students about the importance of analytics. Most football fans view Deflategate through their personal opinion of the New England Patriots: If you hate the Pats, they were guilty of cheating to gain an unfair on-field advantage. If you’re a fan, the whole affair was a non-event ginned up by a lesser team to overshadow a humiliating defeat. But the controversy over deflated footballs, it turns out, may also contain lessons about what makes organizations succeed or fail, and how to thrive as a business leader.

Deflategate, for football apostates and those with amnesia, occurred (or didn’t) during last season’s AFC championship game between the Patriots and the Indianapolis Colts, on Jan. 18, 2015. The Colts suspected going into the game that the Patriots routinely deflated the 12 game balls under their control, to make them grippier. After intercepting a New England pass in the second quarter, the Colts tested the ball and found the air pressure to be lower than the minimum allowed in the NFL rulebook. The Colts alerted league officials, and the game referees tested the 11 remaining New England balls at halftime, plus 4 Colts balls. The Colts’ balls were basically fine, but the New England balls were all considerably underinflated.

Nearly four months later, an official NFL investigation meant to put the matter to rest instead helped immortalize Deflategate as one of the NFL’s most embarrassing episodes. The so-called Wells Report, written by attorney Ted Wells, found it was “more probable than not” that the Patriots and their star quarterback, Tom Brady, broke the rules and deliberately deflated the footballs. That wishy-washy conclusion was just incriminating enough to force the NFL to do something. So it suspended Brady for the first four games of the 2015 season. Yet the same wishy-washiness led a judge to toss the suspension after Brady appealed. Brady skated, while the NFL became, well, a case study in self-administered infamy.

The HBS case study points out that the NFL has been slow to adopt the sophisticated data crunching that has transformed other professional sports, as famously depicted in the book and film “Moneyball.” League officials say pro football, with 22 men on the field for every play, is more intricate than other sports and harder to analyze with raw numbers. Plus, most teams have been family-owned for decades, with little incentive to adopt modern management practices.

Such industrial-era management set the stage for Deflategate, then stoked the controversy instead of extinguishing it. Until the Colts-Patriots game, for instance, the NFL knew little about the dynamics of air pressure in a football and had ad hoc procedures, at best, for investigating an allegation such as the Colts raised.

“The NFL has very poorly designed processes for really understanding data,” says HBS professor Marco Iansiti, who co-authored the Deflategate case study along with researcher Christine Snively. “It’s pretty clear the refs, as representatives of the NFL more broadly, had no idea what the football pressure was supposed to be on the field."

The league only tested one-third of the Colts balls because the hurried referees had to get back on the field for the start of the second half. So there was never an even-steven comparison between all the Patriots’ and Colts' balls before the refs reinflated all of them.

The refs used two different types of gauges to measure air pressure, with neither designated the standard. And Wells himself said league officials had “no appreciation” for the significant effects temperature, humidity, spiking the ball after a touchdown, and other factors can have on the air pressure inside a football. The Wells Report concluded (if you can call it that) that external factors probably explained some, but not all, of the deflation in the Patriots’ footballs.

What the NFL is missing
When HBS students discussed the case this fall in a core class called Technology and Operations Management, they started like a group of raucous fans in a bar: The Patriots were either guilty or innocent, based on whether you were a fan. But Iansiti and other instructors steered the discussion toward the value of strong analytics and good data, in any organization -- which, the students concluded, the NFL lacks.

In business these days, this would be the equivalent of flying blind, without basic information on market prices, competitors’ products or consumer behavior in the real world, outside a lab. That’s why HBS teaches Deflategate in conjunction with another case -- Procter & Gamble’s (PG) longstanding effort to build a world-class system of analytics on every product in its huge portfolio. P&G managers at virtually any level can call up detailed metrics on market share, price changes, competitor moves and many other things, in real-time, in 180 different countries.

Digital firms such as Amazon, Google, Facebook (FB), and many others have the added benefit of user transactions right on their sites, allowing them to grab valued data and use it to forecast what consumers might do next. “How would a Google or Amazon have handled Deflategate?" Iansiti asks. “The NFL is missing out on very basic sources of data. That just wouldn’t happen in a real company.”

The NFL, of course, isn’t an ordinary business, but a unique “trade association” with 32 member teams. Still, it pulls in more than $10 billion in revenue each year, which would make it one of the 300 biggest companies in America, similar in size to Corning or H.J. Heinz. The upcoming Super Bowl 50 may be the most-watched TV show ever, as the Big Game has been many times before. And embattled NFL Commissioner Roger Goodell would surely benefit if his league became an example of how to do things right, rather than wrong. Maybe a future NFL commissioner is at Harvard right now, learning how to do just that.
 
While interesting and all would love to know what they're saying maybe franchise law and business comes next semester :shrug_n:

~Dee~
 
The HBS case study points out that the NFL has been slow to adopt the sophisticated data crunching that has transformed other professional sports, as famously depicted in the book and film “Moneyball.” League officials say pro football, with 22 men on the field for every play, is more intricate than other sports and harder to analyze with raw numbers. Plus, most teams have been family-owned for decades, with little incentive to adopt modern management practices.​

Anybody else think this limitation doesn't apply to the Pats?
 
The HBS case study points out that the NFL has been slow to adopt the sophisticated data crunching that has transformed other professional sports, as famously depicted in the book and film “Moneyball.” League officials say pro football, with 22 men on the field for every play, is more intricate than other sports and harder to analyze with raw numbers. Plus, most teams have been family-owned for decades, with little incentive to adopt modern management practices.​
Anybody else think this limitation doesn't apply to the Pats?

I thought that as soon as I read it.
 
Ok, multiple issues here.

First, even if the nfl does need to do better with analytics and "data-crunching", what does that have to do with deflategate? If anything, deflategate showed they need better gameday procedures...maybe some analytics is involved here, but thats more a secondary issue. The primary issue is gameday procedures...

Second, the moneyball issue is complex. In order to do moneyball-style analytics, you have to watch film to create accurate statistics.

For example, lets say we want to use a qb's passing stats to help determine what his value is. You would need to watch each of his passes on film and then categorize them. You could break them down into excellent passes, sufficient passes, and insufficient passes. You would have to judge the qb based on the quality of his throws and not on completions. This is because completions are dependent upon the passer *and* the receiver.

What if you have a good passer but crap receivers with brickhands? You are trying to determine what value individual players bring to the table, and so you need to look at the components of a play they are responsible for and filter out the components of a play they are not responsible for.
 
Ok, multiple issues here.

First, even if the nfl does need to do better with analytics and "data-crunching", what does that have to do with deflategate? If anything, deflategate showed they need better gameday procedures...maybe some analytics is involved here, but thats more a secondary issue. The primary issue is gameday procedures...

Yes, but one way you determine how well you are controlling gameday procedures is to analyze the data over multiple games, over multiple weeks, with multiple crews under multiple weather conditions.

Such an analysis could reveal whether one particular crew is using a gauge that typically reads PSI values that are lower than the true values, whether one particular QB likes his balls firmer or softer, and most importantly, how the difference between a particular ball's PSI and the mean PSI for all teams compares to the variance of all PSI levels.

For example, suppose the mean PSI for all balls for all games for all teams is measured at 13.0 PSI, but suppose the standard deviation for those measurements is 1.0 PSI. If I pulled out a ball at random from the Patriots' bin and tested it to be 12.0 PSI, even though that is technically 0.5 PSI below the 12.5 PSI lower limit, I wouldn't call that by itself evidence of cheating, because it's within one standard deviation of the overall mean.

In fact, if the standard deviation is in fact 1.0 PSI, well, that's the same as the width of the allowed PSI range (12.5 to 13.5 PSI). Such numbers would be an indication that (a) PSI measurements are too loose, (b) the specification is too tight, or (c) both.
 
Harvard MILF:

freshman_proctor_paf.jpg
 
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