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ARMY AL&T


AIMING AT ACCURACY


Data cleansing efforts at AMCOM will ultimately ensure aviation and missile data accuracy, enabling Soldier readiness. Carlos Gonzalez- Perez, a logistics management specialist at ALC, helped develop DQAT—a data cleansing tool that officially went live in December 2019. (Photo by Regina Baltrusch, AMCOM Public Affairs)


making sure the data they enter for the very first time is correct, because all the other decisions and moves and readiness … depend on it.” Pieper said. “We have an appreciation for what it is Dr. Jette needs.”


THE DATA QUALITY ASSESSMENT TOOL Provisioning—for those not familiar with supply lingo—is the process of determining and acquiring the variety and quantity of support items necessary to operate and maintain a system or item for a certain period of time, according to “Army Regulation 700-18, Provisioning of U.S. Army Equipment.” Provisioning data is the data received from the original equipment manufac- turers on the items they provided.


Before the development of DQAT, provisioners—people who manage the provisioning data—used to review data by eye, Carlos Gonzalez-Perez explained. Gonzalez-Perez, a logistics manage- ment specialist at ALC, developed DQAT with a coding language called Statistical Analysis System, or SAS. He taught himself this entirely new programming language on nights and weekends to expand the parameters of the tool. Te SAS language allows data to be read from common databases or spreadsheets and generates results in the form of graphs, tables, PDF documents, the HTML web programming language and rich text format.


“It [the data] could easily average about 30,000 lines of infor- mation or more, and the problem with that was, by contract, the Army has to provide feedback in 30 or 45 days to the OEM


https://asc.ar my.mil


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