SKU: 69213711393

Data Quality Assessment

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Description

Data Quality AssessmentImagine a group of prehistoric hunters armed with stone tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and

Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies.


Quality data is the key to any advancement, whether it's from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organize, and utilize data about products, customers, competitors, and employees. Fortunately, improving your data quality doesn't have to be such a mammoth task.

DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors - the first step in any data quality program. Master techniques in:

  • Data profiling and gathering metadata
  • Identifying, designing, and implementing data quality rules
  • Organizing rule and error catalogues
  • Ensuring accuracy and completeness of the data quality assessment
  • Constructing the dimensional data quality scorecard
  • Executing a recurrent data quality assessment



Binding Type: Paperback
Publisher: Technics Publications
Published: 05/14/2007
ISBN: 9780977140022
Pages: 321
Weight: 1.30lbs
Size: 9.90h x 6.90w x 0.80d
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SKU: 69213711393

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Maribel de Oleo
Chelsea, US
★★★★★ 5
SNEAKERS OF THE GREAT MATERIAL
Size: 9, Color: White/Black/White
THE SNEAKERS ARE CONFORTABLE AND REALLY GOOD MATERIAL FOR THE ALL USE.
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Reviewed in the United States on February 25, 2026
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David Robles
Grantham, US
★★★★★ 5
Love them!!!
Size: 8, Color: Black/White/Black
Great!!!!
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Reviewed in the United States on May 6, 2026
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Guy Bloom
Phoenix, US
★★★★★ 5
Look great for dress up up casual
Size: 13, Color: Black Leather/Optic White
I wear them every day for work. They are comfortable and light. I will say I was frustrated with the crease in the top that started the first time I wore them but other than that they are a great pair of shoes.
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Reviewed in the United States on March 22, 2026
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LINCOLN STARNES
Chelsea, US
★★★★★ 5
RETRO STYLING, VERY COMFORTABLE; QUALITY MATERIAL
Size: 11, Color: Black Leather/Black
VERY COMFORTABLE AND STYLISH PAIR OF SHOES; OLD FASHIONED STYLING; VERY NICE; WHEN THESE WEAR OUT, I WILL CERTAINLY BUY ANOTHER PAIR!!
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Reviewed in the United States on April 15, 2026
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Erin
Natrona Heights, US
★★★★★ 5
Great shoe
Size: 11.5 Wide, Color: Tan Leather Burnished
Very comfortable business casual shoe. Looks professional, yet stylish
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Reviewed in the United States on April 29, 2026

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