BP Daily: What's wrong with Rollins?The Phillies star can pull out of his statistical slide. Here's how.
By Marc Normandin and John Perrotto
Baseball Prospectus
Many people thought Jimmy Rollins' 2008 season was disappointing. Little did they know he was capable of falling even further from the production levels he had set during his peak years. Now Rollins is hitting all of .232/.276/.345 this year, a far cry from last season's "disappointing" .277/.349/.437. What exactly has caused the 30-year-old Rollins to experience such a massive dip in production two years in a row?
Performance Analysis
As you can see, it has a button for "Performance Analysis." In our Introduction to Performance Measurement classes I often comment how much of what we do can be found in other industries. This was the first time I saw such a clear connection from the world of sports, however.
Performance analysis is important anywhere where performance counts. Granted, our industry may have taken it to levels that other industries can't possibly dream of, but it's still not unique.
By the way, the site address for the story is http://insider.espn.go.com/mlb/insider/news/story?id=4221330&action=login&appRedirect=http%3a%2f%2finsider.espn.go.com%2fmlb%2finsider%2fnews%2fstory%3fid%3d4221330
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Dave, congrats on launching the "Blog", hope it goes well.
ReplyDeleteAs you said, performance analysis is nothing new (we do it naturally - split times in a race, marks for sections in an exam etc), and in our industry we have developed this to quite a degree.
On the other hand I would say that there are also many things that we can learn from other industries in taking this data and then presenting it as useful information - that we often ignore (e.g. true Management Information, good visual representation, proper trend analysis etc) or do not find the time to do.
It is times like this that Analysts can differentiate themselves from (just as important) Process teams, by getting ahead of the curve with presenting pertinent information rather than just producing data.
Over the last few years we have spent much time developing ways of producing data; hopefully we will now start doing the "added value" bit of turning it into useful information.