Data Quality: The Field Guide
Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. Get and download textbook Data Quality: The Field Guide for free
Data Quality The Accuracy Dimension, ISBN-13: 9781558608917, ISBN-10: 1558608915
From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality.
Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, Data Quality new edition
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SAS Institute 9781607646204 Data Quality for Analytics Using SAS Description Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolbas Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations,
Categories: Electronic data processing. Contributors: Inc SAS Institute - Author. Format: Paperback
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Data Quality Textbook
From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality
It motivates interest in data quality,
