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Data Quality Problems in Army Logistics: Classification, Examples, and Solutions [Paperback]

Lionel Galway (Author)


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Book Description

November 5, 1996
There is a widespread agreement that the data in Army logistics information systems have severe quality problems. This study develops a classification scheme for data quality problems and applies it to several problem logistics data elements, primarily the End Item Code (EIC), a key data element in the Central Demand Data Base.

Product Details

  • Paperback: 70 pages
  • Publisher: Rand Publishing (November 5, 1996)
  • Language: English
  • ISBN-10: 0833024175
  • ISBN-13: 978-0833024176
  • Product Dimensions: 9 x 6 x 0.2 inches
  • Shipping Weight: 4.8 ounces
  • Amazon Best Sellers Rank: #8,505,545 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
This report addresses problems in the quality of Army logistics data and information (we will make the distinction between these two shortly), the causes of those problems, and potential fixes. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
organizational data problems, operational data problems, wholesale logistics system, admin number, conceptual data problems, wholesale system, data burden, failure codes, logistics data, logistics information systems, maintenance transactions, enhancement system, end items, organizational fragmentation, wholesale level, maintenance requests, retail level, data elements
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fort Riley, Supply Bulletin, Data Quality Problems, Development Center Lee, End Item Code, Central Demand Data Base, Quality Steering Committee
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