Information Quality, Band 1Yng-Yuh Richard Wang, Elizabeth M. Pierce, Stuart E. Madnik, Craig W. Fisher M.E. Sharpe, 2005 - 265 Seiten Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to databases, and from library shelves to the Internet. The enormous growth in the quantity of data, however, has brought with it growing problems with the quality of information, further complicated by the struggles many organizations are experiencing as they try to improve their systems for knowledge management and organizational memory. Failure to manage information properly, or inaccurate data, costs businesses billions of dollars each year. This volume presents cutting-edge research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with the problem of ensuring quality while processing data into information a company can use. Part III presents case studies, while Part IV explores organizational issues related to information quality. Part V addresses issues in information quality education. |
Inhalt
INTRODUCTION ELIZABETH M PIERCE | 3 |
MEASURING DATA ACCURACY A Framework and Review THOMAS C REDMAN | 21 |
DEVELOPING MEASUREMENT SCALES FOR DATAQUALITY DIMENSIONS LEO PIPING RICHARD WANG DAVID KOPCSO AND WILLI... | 37 |
A CYCLICHIERARCHICAL METHOD FOR DATABASE DATAQUALITY EVALUATION AND IMPROVEMENT JENNIFER A LONG AND CR... | 52 |
MODELBASED DATAQUALITY EVALUATION A Comparison of Internet Classifieds Operated by Newspapers and Nonnewspaper Firms ADENE... | 67 |
BUILDING QUALITY INTO INFORMATION SUPPLY CHAINS Robust Information Supply Chains ADENEKAN DEDEKE | 87 |
WHATS IN YOUR INFORMATION PRODUCT INVENTORY? ELIZABETH M PIERCE | 99 |
IPUML A Methodology for Quality Improvement Based on Information Product Maps and Unified Modeling Language MONICA SCANNAPIECO ... | 115 |
IMPROVING GOVERNMENTTOBUSINESS RELATIONSHIPS THROUGH DATA RECONCILIATION AND PROCESS REENGINEERING MAR... | 151 |
UNDERSTANDING INTERDEPENDENCIES BETWEEN INFORMATION AND ORGANIZATIONAL PROCESSES RAISSA KATZHAAS AND Y... | 167 |
EXEMPLIFYING BUSINESS OPPORTUNITIES FOR IMPROVING DATA QUALITY FROM CORPORATE HOUSEHOLD RESEARCH STUART ... | 181 |
CRITICALITY OF FACTORS AFFECTING DATA QUALITY OF ACCOUNTING INFORMATION SYSTEMS How Perceptions of Importance and ... | 197 |
TEACHING LEARNING AND CURRICULUM DEVELOPMENT TO SUPPORT MANAGING INFORMATION AS A PRODUCT DIANE M STRO... | 217 |
REDEFINING THE SCOPE AND FOCUS OF INFORMATIONQUALITY WORK A General Systems Theory Perspective WOO YOUNG CHUNG C... | 230 |
EDITORS AND CONTRIBUTORS | 249 |
SERIES EDITOR | 255 |
INTRODUCING DATAQUALITY MANAGEMENT IN DATA WAREHOUSING MARKUS HELFERT AND CLEMENS HERRMANN | 135 |
Andere Ausgaben - Alle anzeigen
Information Quality Richard Y Wang,Elizabeth M. Pierce,Stuart Madnick,Craig W Fisher Eingeschränkte Leseprobe - 2014 |
Information Quality Richard Y Wang,Elizabeth M. Pierce,Stuart Madnick,Craig W Fisher Eingeschränkte Leseprobe - 2014 |
Information Quality Y. Richard Wang,Elizabeth M. Pierce,Stuart E. Madnik,Craig W. Fisher Eingeschränkte Leseprobe - 2005 |
Häufige Begriffe und Wortgruppen
activity diagrams application approach assessment Ballou business processes CIHI concepts Conference on Information context corporate householding Craig Fisher criteria customer order data accuracy data and information data quality data unit data values data warehouse data warehousing data-quality dimensions data-quality management data-quality problems database defined definition descriptor developed diagrams entity evaluation example factors Figure focus framework identify implementation important independent information chain Information custodians information product information quality information supply chain Information users information-quality Institute of Technology Internal auditors IP Map knowledge linkage Madnick Management Information Systems manufacturing Massachusetts Institute metadata methodology metrics newspapers organizational organizations percent phase quality improvement quality management quality of data ratio scale raw data record linkage records Redman relational algebra relationships schema specific statistical strategy Table timeliness tion total quality management Unified Modeling Language
Verweise auf dieses Buch
Knowledge Processing with Interval and Soft Computing Chenyi Hu,R. Baker Kearfott,Andre de Korvin,Vladik Kreinovich Eingeschränkte Leseprobe - 2009 |