Since military units cannot maintain 100 percent readiness at all times, they must be able to forecast readiness levels with a moment’s notice in order to make strategic decisions. Current decision-support systems—those relying exclusively on descriptive data—often make it a challenge to derive fast, insightful assessments.
“The data is there, the data that’s required to assess readiness and determine the readiness of the force,” says Ken Mills, Senior Vice President and Lead, Readiness in Booz Allen Hamilton’s Defense & Intelligence Group. “I think the issue is the amount of data.”
Almost every area of the Department of Defense impacts readiness, Mills says, and making sense of all that data is a real feat for defense organizations. Ultimately, decision makers must seek analytical tools and leverage a combination of data science and domain expertise to develop more sophisticated and accurate readiness assessments.
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