https://twitter.com/JoeBuscaglia/status/...2976665600
"...it's a good tool. It's a good system of checks and balances."
"It's not going to dictate decisions, but it's going to help us go to the right decision."
I love to hear this. This type of analysis and decision making has been used in business for years, but is somewhat "new" to the NFL (particularly for scouting.) What's reassuring is that his is the right approach (using it as a tool or aid and not more than that.)
There are many people and organizations who do not completely grasp that and lead themselves to poor decisions based on incorrect application of such tools. They hear the "analytics" buzzword and jump in expecting the technology to do the job for them, not knowing how to correctly implement such a tool.
I thought it was a nice little insight.
Data analytics is just another tool in the toolbox.
Fluff piece without any direct results.
Quote:Fluff piece without any direct results.
I'm curious. How exactly is this a "fluff piece" in your eyes? Is it because you don't understand analytics, or the point of how they're using this data?
Cleveland uses analytics. Perhaps their calculating instrument is a little outdated.
I'm sorry, but what the hell does this sentence mean?
"It's not going to dictate decisions, but it's going to help us go to the right decision."
So, if it helps you go to the right decisions, which means avoiding the wrong ones, how is that not dictating decisions?
It's just something to keep the owners son busy and involved. Remember Gabbert only needs 2.1 seconds longer to pass! Lol
Quote:I'm sorry, but what the hell does this sentence mean?
"It's not going to dictate decisions, but it's going to help us go to the right decision."
So, if it helps you go to the right decisions, which means avoiding the wrong ones, how is that not dictating decisions?
Seems pretty obvious to me. The numbers aren't the only consideration when selecting.
Quote:I'm sorry, but what the hell does this sentence mean?
"It's not going to dictate decisions, but it's going to help us go to the right decision."
So, if it helps you go to the right decisions, which means avoiding the wrong ones, how is that not dictating decisions?
In other words, it's not a "kill switch" for any player, but it does provide perspective. The classic example is the
26-27-60 rule. While it is by no means the end all, be all of evaluating a QB, it can lend a point of view to a player.
Put more succinctly; "it's guidance, not gospel."
Quote:I'm sorry, but what the hell does this sentence mean?
"It's not going to dictate decisions, but it's going to help us go to the right decision."
So, if it helps you go to the right decisions, which means avoiding the wrong ones, how is that not dictating decisions?
Meaning they won't make a decision they don't want to make just because of analytics.
Quote:Meaning they won't make a decision they don't want to make just because of analytics.
Then what's the point? It either helps in making decisions or it doesn't. So if I'm understanding this correctly, if analytics supports the position on a player, great, we're more confident now. If not, well it's not really that big of a deal anyway.
Quote:Then what's the point? It either helps in making decisions or it doesn't. So if I'm understanding this correctly, if analytics supports the position on a player, great, we're more confident now. If not, well it's not really that big of a deal anyway.
I think of it as something similar to references for a job requirement. You'll probably get all the information you need and want from a resume, interview, and background check. However, if one of the references doesn't exist or has a horror story about the candidate, it gives you an opportunity to do a little more digging.
So pretty much I see it as covering all your bases.
Quote:Then what's the point? It either helps in making decisions or it doesn't. So if I'm understanding this correctly, if analytics supports the position on a player, great, we're more confident now. If not, well it's not really that big of a deal anyway.
I'd say it's more about taking grey area and making it more white or black. Helping make decisions is not the same as dictating a decision. The sheer amount of players and the all the endless variables involved would lead to a lot of grey area. But in your example they have a conviction of a decision they will make. Analytics will either confirm that conviction, or raise a red flag that more research should be done.