Data and Data Management
Data and Data Management
This chapter discusses how sports teams can improve data management throughout the organization. It identifies three principles: standardization, centralization, and integration. These three principles build on one another to create efficiencies and consistencies within the organization that allow for easier and more timely access to information. The first step in helping the decision maker work more efficiently is to standardize the data within the organization. Standardizing data and data creation and storage within an organization requires identifying, locating, and describing all the data sources in order to establish the organization's data inventory. After an organization's data inventory is created and the data are standardized, then a centralization of the data can occur. This makes the data more efficiently accessible to decision makers. Once the data has been standardized and centralized, it can be fully integrated. The integration of data across functions within the organization allows for seamless access to every department's data. Scouting and medical reports are linked to play-by-play data, which are linked to video files, and the connections go on. On its own, each type of data is valuable, but when integrated, there are synergies created among the different data sources that cannot occur when the data are segregated.
Keywords: sports teams, sports analytics, data management, standardization, centralization, integration
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