I'm a strategic minded person and I like to think big. For Nebraska football, I like to think how everything came together for this program and produced the dynasty we witnessed in the 90's. How do you take a program from a small population state in the middle of the country with little division 1 talent to greatness? There were a number of things that had to come together and a number of advantages we had to exploit to produce the run of 3 national championships in 4 years. The conventional wisdom is we had a unique set of advantages during the 90's and many think we will never see anything like it again. There were a number of things that gave us an edge over our opponents. We had a strength and conditioning program second to none. We had partial qualifiers. We had the walk-on program. We had Tommie Frazier. We had Tom Osborne. Many of those advantages no longer exist and we've fallen behind some other programs.
What if I told you we could have it all back? 90,000 fans in Memorial Stadium screaming for the top team in the country? Nebraska winning conference tiles and making it to the national title game?
For that to happen we need to create an advantage, and have something that no other program has. We can't do the same thing every other team does and expect that success will be guaranteed.
That thing we need, that something that can put us over the edge is Big Data. What is Big Data? It's using vast computing resources to discover hidden information that can be used to greatly improve ANY process or methodology. Big Data is huge and it's going to completely change every industry. Anybody who's not using it is going to be left behind.
So what can Big Data do for football? Well college football is all about data. Each year there are hundreds of recruits to evaluate and send offers to. Each player has size, weight, 40 times, bench press, etc. associated with them. Basic data analysis can give you a pretty good idea which of these players are going to be successful. This kind of data analysis can separate the 2 stars from the 3 stars from the 5 stars. But each year, a significant percentage of players, even 5 stars, end up being busts and hardly contributing to the team. But what if there was a way you could find out which of these players were going to be busts and which were going to be studs before they even stepped foot on campus? With Big Data, this could be possible. With Big Data, every tweet sent by every recruit could be analyzed. Every video clip of a recruit could be analyzed in extreme detail and could reveal any deficiencies or hidden abilities of the recruit. With Big Data, you could discover the hidden gems, the diamonds in the rough. You can discover the best pitch to use and the things a recruit responds well to before even talking to him.
Big Data would be invaluable on the field as well. Each play can be dissected in great detail. Each cut, each move analyzed. A player could watch video of themselves and optimize every step.
What if I told you we could have it all back? 90,000 fans in Memorial Stadium screaming for the top team in the country? Nebraska winning conference tiles and making it to the national title game?
For that to happen we need to create an advantage, and have something that no other program has. We can't do the same thing every other team does and expect that success will be guaranteed.
That thing we need, that something that can put us over the edge is Big Data. What is Big Data? It's using vast computing resources to discover hidden information that can be used to greatly improve ANY process or methodology. Big Data is huge and it's going to completely change every industry. Anybody who's not using it is going to be left behind.
So what can Big Data do for football? Well college football is all about data. Each year there are hundreds of recruits to evaluate and send offers to. Each player has size, weight, 40 times, bench press, etc. associated with them. Basic data analysis can give you a pretty good idea which of these players are going to be successful. This kind of data analysis can separate the 2 stars from the 3 stars from the 5 stars. But each year, a significant percentage of players, even 5 stars, end up being busts and hardly contributing to the team. But what if there was a way you could find out which of these players were going to be busts and which were going to be studs before they even stepped foot on campus? With Big Data, this could be possible. With Big Data, every tweet sent by every recruit could be analyzed. Every video clip of a recruit could be analyzed in extreme detail and could reveal any deficiencies or hidden abilities of the recruit. With Big Data, you could discover the hidden gems, the diamonds in the rough. You can discover the best pitch to use and the things a recruit responds well to before even talking to him.
Big Data would be invaluable on the field as well. Each play can be dissected in great detail. Each cut, each move analyzed. A player could watch video of themselves and optimize every step.