The practitioner's guide to data quality improvement / David Loshin.

Author/creator Loshin, David, 1963-
Format Electronic
Publication InfoBurlington, MA : Morgan Kaufmann,
Descriptionxxiii, 398 p. : ill. ; 24 cm.
Supplemental ContentFull text available from eBook - Computer Science 2010
Subjects

Contents Business impacts of poor data quality -- The organizational data quality program -- Data quality maturity -- Enterprise initiative integration -- Developing a business case and a data quality roadmap -- Metrics and performance improvement -- Data governance -- Dimensions of data quality -- Data requirement analysis -- Metadata and data standard -- Data quality assessment -- Remediation and improvement planning -- Data quality service level agreements -- Data profiling -- Parsing and standardization -- Entity identity resolution -- Inspection, monitoring, auditing, and tracking -- Data enhancement -- Master data management and data quality -- Bringing it all together.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010025189
ISBN9780123737175 (pbk. : alk. paper)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available