lies, damned lies, and sabermetrics

Data Management in Sports Analytics

For most of the teams that I have spoken with, data sits in a variety of places. This may include a centralized database that has even a good percentage of the team’s data in it, but there are still multiple data silos within the organization. They have their geek box who keeps reams of useful data on excel spreadsheets, they have a trainer who has a ton of health/training related data on their computer, a psychologist who has a host of data (both quantitative and qualitative) on their computer, the cap manager may have their detailed league wide cap model on their computer, and none of this data is collected and processed together. For a decision maker to truly consider all of the different sources of data that they ALREADY USE, even if they have access to it all from their computer, would likely have to have seven or eight windows open, and then scroll from window to window trying to connect the dots between the various data sources. This is a major time waster for people that place a premium on time.

Good data management which includes data structuring, processing, and front end information systems could easily save a group of top level decision makers for a sports team multiple hours a day.  Any analytical professional that can demonstrate to a team that they can pull all the various pieces of information within an organization together, and turn it into information that a decision maker can access from one open window, or one app on their phone, would enable that decision maker to spend more time actually strategizing,  processing information, and making the team better, instead of having to find and synthesize the data.

via Analytic Football