MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03714cam a22003614a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220707134206.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780124558403 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| Language of cataloging |
Eng |
| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
Eng |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.2 |
| Item number |
LOS |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Loshin, David, |
| Relator term |
Author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Enterprise knowledge management : |
| Remainder of title |
the data quality approach / |
| Statement of responsibility, etc. |
David Loshin. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
San Diego : |
| Name of publisher, distributor, etc. |
Morgan Kaufmann, |
| Date of publication, distribution, etc. |
2001. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 493 pages : |
| Other physical details |
illustrations; |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Morgan Kaufmann Series in Data Management Systems Ser. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Preface --<br/>Chapter 1 --<br/>Introduction --<br/>Chapter 2 --<br/>Who Owns Information? --<br/>Chapter 3 --<br/>Data Quality in Practice --<br/>Chapter 4 --<br/>Economic Framework of Data Quality and the Value Proposition --<br/>Chapter 5 --<br/>Dimensions of Data Quality --<br/>Chapter 6 --<br/>Statistical Process Control and the Improvement Cycle --<br/>Chapter 7 --<br/>Domains, Mappings, and Enterprise Reference Data --<br/>Chapter 8 --<br/>Data Quality Assertions and Business Rules --<br/>Chapter 9 --<br/>Measurement and Current State Assessment --<br/>Chapter 10 --<br/>Data Quality Requirements --<br/>Chapter 11 --<br/>Metadata, Guidelines, and Policy --<br/>Chapter 12 --<br/>Rule-Based Data Quality --<br/>Chapter 13 --<br/>Metadata and Rule Discovery --<br/>Chapter 14 --<br/>Data Cleansing --<br/>Chapter 15 --<br/>Root Cause Analysis and Supplier Management --<br/>Chapter 16 --<br/>Data Enrichment/Enhancement --<br/>Chapter 17 --<br/>Data Quality and Business Rules in Practice --<br/>Chapter 18 --<br/>Building the Data Quality Practice. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are working feverishly to solve. Enterprise Knowledge Management: The Data Quality Approach presents an easily adaptable methodology for defining, measuring, and improving data quality. Author David Loshin begins by presenting an economic framework for understanding the value of data quality, then proceeds to outline data quality rules and domain-and mapping-based approaches to consolidating enterprise knowledge. Written for both a managerial and a technical audience, this book will be indispensable to the growing number of companies committed to wresting every possible advantage from their vast stores of business information. Key Features * Expert advice from a highly successful data quality consultant * The only book on data quality offering the business acumen to appeal to managers and the technical expertise to appeal to IT professionals * Details the high costs of bad data and the options available to companies that want to transform mere data into true enterprise knowledge * Presents conceptual and practical information complementing companies' interest in data warehousing, data mining, and knowledge discovery. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Knowledge management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Industrial management |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Information technology |
| General subdivision |
Management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business enterprises |
| General subdivision |
Data processing |
| -- |
Management. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://www.loc.gov/catdir/description/els031/00112074.html">http://www.loc.gov/catdir/description/els031/00112074.html</a> |
| 856 41 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://www.loc.gov/catdir/toc/els031/00112074.html">http://www.loc.gov/catdir/toc/els031/00112074.html</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
2 |
| e |
epcn |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |