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WORKFORCE


DATA TELL A (PARTIAL) STORY


These graphs are a snapshot of three different groups in the Army Acquisition Workforce—the AAW as a whole, the contracting workforce and the engineer- ing community—specifically, their years of experience. What does the data show? That, for example, engineers tend to stay in their jobs longer, and that many are eligi- ble for retirement or nearing it. But it’s equally important to see what the data does not show—local trends, for example, or competencies—and pursue better data to support talent management. (Graphic by U.S. Army Acquisition Support Center)


they get their experience and they have the same amount of time and training, they both get the same certification in contracting.


Currently an organization or potential employer can’t see the differences without culling resumes and conducting interviews. Tere’s no big pool within a management information system that says, “Oh, here are the people who know how to do this, have a particular competency or possess a specific skill set.”


Tere are a number of places where we need to drill down and get that second-level, third-level and fourth-level information.


THINK GLOBALLY, ACT LOCALLY What’s the old adage? You can use data to tell any story you want.


If we look at the workforce in the aggregate, it might seem to have unique characteristics. But if we drill down and only look at the engineering community, for example, we might find something very different. For example, take a look at Figure 1. It shows the aggregate AAW with respect to years of experience. Ten look at Figure 2, which shows the years of experience for the contract- ing community. It generally looks the same as Figure 1. Figure 3 shows the engineering community. Engineers tend to stay in


https://asc.ar my.mil 135


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