๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Data quality. Information and data quality: Concepts and measuring


Leaves
26
Category
Scientific

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Data Quality: Concepts, Methodologies an
โœ Carlo Batini, Monica Scannapieca (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><P>Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliam

Data Quality: Concepts, Methodologies an
โœ Carlo Batini, Monica Scannapieco ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer ๐ŸŒ English

oor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament.Bat

Executing Data Quality Projects: Ten Ste
โœ Danette McGilvray ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Morgan Kaufmann ๐ŸŒ English

Executing Data Quality Projects is a terrific step by step guide to assist in the analysis of Data Quality Issues. It gives teams a logical and clearly defined set of steps to help guide them through an approach for improving and creating data quality within any business. The techniques in this bo

Executing Data Quality Projects: Ten Ste
โœ Danette McGilvray ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Morgan Kaufmann ๐ŸŒ English

As an Enterprise DQ Operations Manager, "Executing Data Quality Projects" is a must that details the "how to" methodology to execute data remediation projects. Following the "Ten Steps" methodology provides guidance on a step by step approach to establish trusted information. I used the material t