Managing information quality: increasing the value of information in knowledge-intensive products and processes ; with 34 tables
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2006
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 377 - 393 |
| Beschreibung: | XII, 398 S. graph. Darst. |
| ISBN: | 9783540314080 3540314083 |
Internformat
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| 245 | 1 | 0 | |a Managing information quality |b increasing the value of information in knowledge-intensive products and processes ; with 34 tables |c Martin J. Eppler |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2006 | |
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Datensatz im Suchindex
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Table of Contents
List of Figures IX
List of Tables XI
1. Introducing the Notion of Information Quality 1
2. Information Quality Problems and Current Approaches 17
2.1 Background and Key Terms 17
2.2 A Survey of Information Quality Problems in Knowledge-intensive
Processes 27
2.2.1 Information Quality Problems in Overview 29
2.2.2 Information Quality Problem Patterns 40
2.3 Information Quality Frameworks in Review 46
2.3.1 Recent Models from Various Domains 46
2.3.2 Evaluation of Seven Information Quality Frameworks 50
2.3.3 Five Development Imperatives 54
2.4 Conclusion: The Need for a New Framework 55
3. A Framework for Information Quality Management 57
3.1 Aim and Context of the Information Quality Framework 57
3.1.1 Aim: Analysis, Evaluation, Management, and Education 57
3.1.2 Context: Knowledge-intensive Processes 59
3.2 Elements of the Framework 65
3.2.1 Overview of the Framework and its Elements 65
3.2.2 Levels of Information Quality 66
3.2.3 Information Quality Criteria 69
3.2.4 Steps in the Framework 85
3.2.5 Information Quality Principles 88
3.3 Application of the Framework 178
3.3.1 Analyzing and Measuring Information Quality 180
3.3.2 Improving and Managing Information Quality 188
3.3.3 Teaching and Sustaining Information Quality 200
3.4 Conclusion: Main Insights of the Framework 208
VIII Table of Contents
4. Information Quality Case Studies 211
4.1 Overview of the Case Studies 211
4.2 Activating Knowledge: The Added Value of Market Research
Reports at IHAGfK 214
4.3 Compressing Knowledge: The Integration of Business Books at
getAbstract 231
4.4 Putting IT into Context: Gartner Advice and the Difficult Scaling of
Knowledge 247
4.5 Making Research Relevant: GiGA Information Group's IdeaBytes 265
4.6 Communicating Quality: Guidelines and Quality Criteria at UBS
Financial Services Group 280
4.7 The Multiple Views on Country Risk Intelligence -Communicating
Analyst Knowledge at the Economist Intelligence Unit 291
4.8 Cross-case Insights 309
4.9 Beyond Corporate Case Studies: Information Quality in e-Government. 316
4.9.1 The Relevance of Information Quality for e-Government 316
4.9.2 Defining Information Quality for Government to
Citizens Relations 319
4.9.3 Managing Information Quality in e-Government through Roles,
Processes, Tools, and Training 323
4.9.4 Constraints and Barriers for Information Quality Management
in G2C Relations 325
4.9.5 An e-Government Study: Italy's Ministry for Public
Administration 329
4.9.6 Conclusion: Extending IQ to e-Government 334
5. Conclusion and Outlook 337
5.1 Implications for Management 338
5.2 Overall Conclusion 347
5.3 Outlook: Moving beyond Data and Information Quality 349
Appendix 359
A. Information Quality Frameworks Survey 359
B. Other Information Quality Frameworks 363
C. Information Quality Glossary 364
D. Study Questions for the Information Quality Cases 371
E. Information Quality Assessment - A Self-Test for Information
Providers and Knowledge Workers 374
References 377
Index 395
List of Figures
Figure 1: Knowledge work problem categories 35
Figure 2: IQ Problems categorized in terms of their origins 42
Figure 3: IQ Problems categorized in terms of their consequences for the user 43
Figure 4: IQ Problems categorized in terms of their responsibility 45
Figure 5: Relevant knowledge dimensions for knowledge-intensive processes 62
Figure 6: The information quality framework 68
Figure 7: The information usage cycle 86
Figure 8: Encountered value-adding activities as background for the
information quality principles 92
Figure 9: Existing communication principles as background for information
quality principles 102
Figure 10: Mechanisms to integrate information 107
Figure 11: Three modes of abstraction 116
Figure 12: A diagram of diagrams for the realm of management 120
Figure 13: Filtering strategies in overview 123
Figure 14: Three main aspects of information validity 128
Figure 15: Mechanisms to validate information 130
Figure 16: The information validation schema used by international crime
investigators 135
Figure 17: Elements of an information's context 143
Figure 18: Mechanisms to add context to information 146
Figure 19: Mechanisms to activate information 161
Figure 20: Using the IQ-Framework to make IQ-perception differences visible. 181
Figure 21: A sample information quality scorecard 183
Figure 22: Deutsche Bank's intranet quality levels 186
Figure 23: Thumbnail ratings as real-time assessments of information quality 187
Figure 24: Improving information quality in meetings through a visual protocol. 190
Figure 25: A sample entry page of a project portal 194
Figure 26: A project map outlining three years of project documentation 195
Figure 27: A core curriculum on information quality 202
X List of Figures
Figure 28: IHA-GfK's interactive knowledge map of tools and information
sources 218
Figure 29: The market research report production process 225
Figure 30: An example of a Magic Quadrant for the CASE market 251
Figure 31: EIU risk model - inflation indicator 294
Figure 32: EIU risk model - country risk break-down for Morocco 295
Figure 33: EIU risk model - risk weightings 297
Figure 34: Electronic transformation revenue 307
Figure 35: Problems resulting from low quality information in government-to-
citizen e-government 318
Figure 36: Roles and policies derived from the IQ framework 321
Figure 37: Compatibility constraints for information quality improvements
in e-government initiatives 328
Figure 38: Implications of the framework for different management levels and
areas 339
Figure 39: A joint, real-time customer rating based on aggregated global
customer information 357
List of Tables
Table 1: Terms related to information quality and their background 12
Table 2: The practice gap as illustrated by management complaints about internal
information 14
Table 3: A comparative view of Quality Management, Information Quality and
Knowledge Management 26
Table 4: Data quality versus information quality problems 28
Table 5: Information quality problems (compiled and adapted from: Strong et al.,
1997) 33
Table 6: Information quality frameworks from 1989 to 2000 47
Table 7: Evaluated information quality frameworks 49
Table 8: Meta-criteria for the evaluation of information quality frameworks 50
Table 9: Examples of knowledge-intensive processes 60
Table 10: Seventy typical information quality criteria 71
Table 11: The sixteen selected information quality criteria and their opposites 76
Table 12: Description of the selected criteria 83
Table 13: A table of tables from the realm of management 111
Table 14: Diagram descriptions 120
Table 15: A typical document revision history 152
Table 16: Typical mnemonic acronyms and their purposes 165
Table 17: Learning types and their preferred information formats 175
Table 18: The PDCA-cycle applied to information quality management 179
Table 19: An analysis of the impact of a knowledge management system on
information quality 184
Table 20: Techniques to be covered in the practical block of the course 203
Table 21: IQ-Tools and their use in management education 204
Table 22: Overview of the case studies in this section 213
Table 23: IHA-GfK service features and their impact on information quality
criteria 221
Table 24: The generic structure of getAbstract's book summaries 233
Table 25: getAbstract features and their impact on information quality criteria. 235
XII List of Tables
Table 26: Gartner service features and their impact on information
quality criteria 256
Table 27: Giga's service features and their impact on information quality
criteria 269
Table 28: Features of the guidelines and their impact on high-quality
communication 287
Table 29: EIU products and services features and their impact on information
quality criteria 299
Table 30: Key questions addressed by the four information quality policies 323
Table 31: IQM and its innovation characteristics 326
Table 32: Quality problems along the information value chain 352
Table 33: Examples of pivotal quality attributes of the four areas 353
Table 34: Implemented improvement measures along the
Information Value Chain 356 |
| adam_txt |
Table of Contents
List of Figures IX
List of Tables XI
1. Introducing the Notion of Information Quality 1
2. Information Quality Problems and Current Approaches 17
2.1 Background and Key Terms 17
2.2 A Survey of Information Quality Problems in Knowledge-intensive
Processes 27
2.2.1 Information Quality Problems in Overview 29
2.2.2 Information Quality Problem Patterns 40
2.3 Information Quality Frameworks in Review 46
2.3.1 Recent Models from Various Domains 46
2.3.2 Evaluation of Seven Information Quality Frameworks 50
2.3.3 Five Development Imperatives 54
2.4 Conclusion: The Need for a New Framework 55
3. A Framework for Information Quality Management 57
3.1 Aim and Context of the Information Quality Framework 57
3.1.1 Aim: Analysis, Evaluation, Management, and Education 57
3.1.2 Context: Knowledge-intensive Processes 59
3.2 Elements of the Framework 65
3.2.1 Overview of the Framework and its Elements 65
3.2.2 Levels of Information Quality 66
3.2.3 Information Quality Criteria 69
3.2.4 Steps in the Framework 85
3.2.5 Information Quality Principles 88
3.3 Application of the Framework 178
3.3.1 Analyzing and Measuring Information Quality 180
3.3.2 Improving and Managing Information Quality 188
3.3.3 Teaching and Sustaining Information Quality 200
3.4 Conclusion: Main Insights of the Framework 208
VIII Table of Contents
4. Information Quality Case Studies 211
4.1 Overview of the Case Studies 211
4.2 Activating Knowledge: The Added Value of Market Research
Reports at IHAGfK 214
4.3 Compressing Knowledge: The Integration of Business Books at
getAbstract 231
4.4 Putting IT into Context: Gartner Advice and the Difficult Scaling of
Knowledge 247
4.5 Making Research Relevant: GiGA Information Group's IdeaBytes 265
4.6 Communicating Quality: Guidelines and Quality Criteria at UBS
Financial Services Group 280
4.7 The Multiple Views on Country Risk Intelligence -Communicating
Analyst Knowledge at the Economist Intelligence Unit 291
4.8 Cross-case Insights 309
4.9 Beyond Corporate Case Studies: Information Quality in e-Government. 316
4.9.1 The Relevance of Information Quality for e-Government 316
4.9.2 Defining Information Quality for Government to
Citizens Relations 319
4.9.3 Managing Information Quality in e-Government through Roles,
Processes, Tools, and Training 323
4.9.4 Constraints and Barriers for Information Quality Management
in G2C Relations 325
4.9.5 An e-Government Study: Italy's Ministry for Public
Administration 329
4.9.6 Conclusion: Extending IQ to e-Government 334
5. Conclusion and Outlook 337
5.1 Implications for Management 338
5.2 Overall Conclusion 347
5.3 Outlook: Moving beyond Data and Information Quality 349
Appendix 359
A. Information Quality Frameworks Survey 359
B. Other Information Quality Frameworks 363
C. Information Quality Glossary 364
D. Study Questions for the Information Quality Cases 371
E. Information Quality Assessment - A Self-Test for Information
Providers and Knowledge Workers 374
References 377
Index 395
List of Figures
Figure 1: Knowledge work problem categories 35
Figure 2: IQ Problems categorized in terms of their origins 42
Figure 3: IQ Problems categorized in terms of their consequences for the user 43
Figure 4: IQ Problems categorized in terms of their responsibility 45
Figure 5: Relevant knowledge dimensions for knowledge-intensive processes 62
Figure 6: The information quality framework 68
Figure 7: The information usage cycle 86
Figure 8: Encountered value-adding activities as background for the
information quality principles 92
Figure 9: Existing communication principles as background for information
quality principles 102
Figure 10: Mechanisms to integrate information 107
Figure 11: Three modes of abstraction 116
Figure 12: A diagram of diagrams for the realm of management 120
Figure 13: Filtering strategies in overview 123
Figure 14: Three main aspects of information validity 128
Figure 15: Mechanisms to validate information 130
Figure 16: The information validation schema used by international crime
investigators 135
Figure 17: Elements of an information's context 143
Figure 18: Mechanisms to add context to information 146
Figure 19: Mechanisms to activate information 161
Figure 20: Using the IQ-Framework to make IQ-perception differences visible. 181
Figure 21: A sample information quality scorecard 183
Figure 22: Deutsche Bank's intranet quality levels 186
Figure 23: Thumbnail ratings as real-time assessments of information quality 187
Figure 24: Improving information quality in meetings through a visual protocol. 190
Figure 25: A sample entry page of a project portal 194
Figure 26: A project map outlining three years of project documentation 195
Figure 27: A core curriculum on information quality 202
X List of Figures
Figure 28: IHA-GfK's interactive knowledge map of tools and information
sources 218
Figure 29: The market research report production process 225
Figure 30: An example of a Magic Quadrant for the CASE market 251
Figure 31: EIU risk model - inflation indicator 294
Figure 32: EIU risk model - country risk break-down for Morocco 295
Figure 33: EIU risk model - risk weightings 297
Figure 34: Electronic transformation revenue 307
Figure 35: Problems resulting from low quality information in government-to-
citizen e-government 318
Figure 36: Roles and policies derived from the IQ framework 321
Figure 37: Compatibility constraints for information quality improvements
in e-government initiatives 328
Figure 38: Implications of the framework for different management levels and
areas 339
Figure 39: A joint, real-time customer rating based on aggregated global
customer information 357
List of Tables
Table 1: Terms related to information quality and their background 12
Table 2: The practice gap as illustrated by management complaints about internal
information 14
Table 3: A comparative view of Quality Management, Information Quality and
Knowledge Management 26
Table 4: Data quality versus information quality problems 28
Table 5: Information quality problems (compiled and adapted from: Strong et al.,
1997) 33
Table 6: Information quality frameworks from 1989 to 2000 47
Table 7: Evaluated information quality frameworks 49
Table 8: Meta-criteria for the evaluation of information quality frameworks 50
Table 9: Examples of knowledge-intensive processes 60
Table 10: Seventy typical information quality criteria 71
Table 11: The sixteen selected information quality criteria and their opposites 76
Table 12: Description of the selected criteria 83
Table 13: A table of tables from the realm of management 111
Table 14: Diagram descriptions 120
Table 15: A typical document revision history 152
Table 16: Typical mnemonic acronyms and their purposes 165
Table 17: Learning types and their preferred information formats 175
Table 18: The PDCA-cycle applied to information quality management 179
Table 19: An analysis of the impact of a knowledge management system on
information quality 184
Table 20: Techniques to be covered in the practical block of the course 203
Table 21: IQ-Tools and their use in management education 204
Table 22: Overview of the case studies in this section 213
Table 23: IHA-GfK service features and their impact on information quality
criteria 221
Table 24: The generic structure of getAbstract's book summaries 233
Table 25: getAbstract features and their impact on information quality criteria. 235
XII List of Tables
Table 26: Gartner service features and their impact on information
quality criteria 256
Table 27: Giga's service features and their impact on information quality
criteria 269
Table 28: Features of the guidelines and their impact on high-quality
communication 287
Table 29: EIU products and services features and their impact on information
quality criteria 299
Table 30: Key questions addressed by the four information quality policies 323
Table 31: IQM and its innovation characteristics 326
Table 32: Quality problems along the information value chain 352
Table 33: Examples of pivotal quality attributes of the four areas 353
Table 34: Implemented improvement measures along the
Information Value Chain 356 |
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| illustrated | Illustrated |
| index_date | 2024-07-02T15:43:53Z |
| indexdate | 2024-09-04T00:22:55Z |
| institution | BVB |
| isbn | 9783540314080 3540314083 |
| language | English |
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| publisher | Springer |
| record_format | marc |
| spelling | Eppler, Martin J. 1971- Verfasser (DE-588)121909433 aut Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables Martin J. Eppler 2. ed. Berlin [u.a.] Springer 2006 XII, 398 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 377 - 393 Knowledge management Qualitätsmanagement (DE-588)4219057-5 gnd rswk-swf Informationsmanagement (DE-588)4114012-6 gnd rswk-swf Informationseffizienz (DE-588)4277107-9 gnd rswk-swf Informationsmanagement (DE-588)4114012-6 s Qualitätsmanagement (DE-588)4219057-5 s Informationseffizienz (DE-588)4277107-9 s DE-604 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2774782&prov=M&dok_var=1&dok_ext=htm Inhaltstext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015001674&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Eppler, Martin J. 1971- Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables Knowledge management Qualitätsmanagement (DE-588)4219057-5 gnd Informationsmanagement (DE-588)4114012-6 gnd Informationseffizienz (DE-588)4277107-9 gnd |
| subject_GND | (DE-588)4219057-5 (DE-588)4114012-6 (DE-588)4277107-9 |
| title | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables |
| title_auth | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables |
| title_exact_search | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables |
| title_exact_search_txtP | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables |
| title_full | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables Martin J. Eppler |
| title_fullStr | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables Martin J. Eppler |
| title_full_unstemmed | Managing information quality increasing the value of information in knowledge-intensive products and processes ; with 34 tables Martin J. Eppler |
| title_short | Managing information quality |
| title_sort | managing information quality increasing the value of information in knowledge intensive products and processes with 34 tables |
| title_sub | increasing the value of information in knowledge-intensive products and processes ; with 34 tables |
| topic | Knowledge management Qualitätsmanagement (DE-588)4219057-5 gnd Informationsmanagement (DE-588)4114012-6 gnd Informationseffizienz (DE-588)4277107-9 gnd |
| topic_facet | Knowledge management Qualitätsmanagement Informationsmanagement Informationseffizienz |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=2774782&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015001674&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT epplermartinj managinginformationqualityincreasingthevalueofinformationinknowledgeintensiveproductsandprocesseswith34tables |