| Description |
1 online resource |
| Contents |
Principles of Information Quality Improvement -- The High Costs of Low-Quality Data -- Why Data Warehouses Fail -- The Information Quality Crisis -- But Our Information Quality Is Not So Bad -- The Incredible Costs of Nonquality Data -- Information Quality and the Bottom Line -- Why Care about Information Quality? -- Defining Information Quality -- What Is Quality? -- Quality Is Not -- Quality Is -- What Is Data? -- Data -- Information -- Knowledge -- Wisdom -- What Is Information Quality? -- Inherent Information Quality -- Pragmatic Information Quality -- Information Quality Defined -- "Consistently" -- "Meeting" -- "Knowledge Worker and End Customer" -- "Expectations" -- Information Quality Components -- Data Definition and Information Architecture Quality -- Data Content Quality -- Data Presentation Quality -- Applying Quality Management Principles to Information -- Customer Focus -- Understanding the Market -- Customer Satisfaction -- Continuous Process Improvement -- Create Customer-Focused Product Specifications -- Define Processes Across Their Value Chain -- Encourage Teamwork -- Establish Process-Improvement Processes -- Scientific Methods -- Statistical Quality Control -- Quality Approaches -- Deming's 14 Points of Quality -- The Juran Trilogy -- Ishikawa: Quality Control as a Movement -- Kaizen: The Art of Continuous Improvement -- Quality Function Deployment -- Crosby's Quality Is Free -- ISO 9000 and Repeatable Quality -- The Baldrige Quality Award -- Applying Quality Principles to Information |
| Summary |
Annotation A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality.<br /><br />Each year, companies lose millions as a result of inaccurate and missing data in their operational databases. This in turn corrupts data warehouses, causing them to fail. With information quality improvement and control systems, like the ones described in this book, your company can reduce costs and increase profits from quality information assets. Written by an internationally recognized expert in information quality improvement, Improving Data Warehouse and Business Information Quality arms you with a comprehensive set of tools and techniques for ensuring data quality both in source databases and the data warehouse. With the help of best-practices case studies, Larry English fills you in on:<br />* How and when to measure information quality.<br />* How to measure the business costs of poor quality information.<br />* How to select the right information quality tools for your environment.<br />* How to reengineer and cleanse data to improve the information product before it reaches your data warehouse.<br />* How to improve the information creation processes at the source.<br />* How to build quality controls into data warehouse processes.<br /><br />AUTHORBIO: Larry P. English is the leading international expert in the field of information and data warehouse quality. He is a columnist for Data Management Review and a featured speaker at numerous Data Warehousing Conferences. Larry chairs Information Quality Conferences held around the world |
| Notes |
Title from title screen |
| Bibliography |
Includes bibliographical references |
| Subject |
Industrial management -- Data processing
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Business -- Data processing.
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Data warehousing.
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Business -- Data processing.
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Data warehousing.
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Industrial management -- Data processing.
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Data warehouse.
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Bedrijfsinformatie.
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Kwaliteit.
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INDUSTRIAL MANAGEMENT.
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DATA PROCESSING.
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INDUSTRIES.
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DATA MANAGEMENT.
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DATA BASES.
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Företag -- databehandling.
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Datalager.
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Data mining.
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| Form |
Electronic book
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| LC no. |
98033167 |
| ISBN |
0471253839 |
|
9780471253839 |
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