Knowledge management, business intelligence, and content management: the IT practitioner's guide
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
Auerbach Publications
2006
|
| Schlagworte: | |
| Online-Zugang: | Publisher description Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xxi, 475 p. ill., graph. Darst. 25 cm |
| ISBN: | 9780849393853 084939385X |
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| 245 | 1 | 0 | |a Knowledge management, business intelligence, and content management |b the IT practitioner's guide |c Jessica Keyes |
| 264 | 1 | |a Boca Raton, FL |b Auerbach Publications |c 2006 | |
| 300 | |a xxi, 475 p. |b ill., graph. Darst. |c 25 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Gestion de l'information | |
| 650 | 4 | |a Gestion des connaissances | |
| 650 | 7 | |a Gestão da informação |2 larpcal | |
| 650 | 7 | |a Gestão do conhecimento |2 larpcal | |
| 650 | 7 | |a Inteligência empresarial |2 larpcal | |
| 650 | 4 | |a Technologie de l'information | |
| 650 | 7 | |a Tecnologia da informação (administração) |2 larpcal | |
| 650 | 4 | |a Information technology | |
| 650 | 4 | |a Information resources management | |
| 650 | 4 | |a Knowledge management | |
| 856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy0659/2005057127-d.html |3 Publisher description | |
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Datensatz im Suchindex
| _version_ | 1804136567192682496 |
|---|---|
| adam_text | CONTENTS
Information Intelligence xxi
1 The New Intelligence: The Birth of the Knowledge
Management Industry 1
1.1 Buried in Information 1
1.2 From Batch to Decision Support 3
1.2.1 Types of Decision Makers 3
1.2.2 Filtering I
1.2.3 Transforming Information into Knowledge 5
1.3 A Short Course in Knowledge Representation 6
l. i Data. Information, Knowledge, and Wisdom — and Why Vie
Need to Do This 13
1.5 Embedding Knowledge Management in the Organization 15
1.6 Where Do We Go Next? IX
References IS
2 Knowledge Management Transfer Strategies 19
2.1 KM Frameworks 20
2.2 Knowledge Transfer Techniques 22
2.2.1 Apprenticeships. Internships, and Trainceships 2 $
2.2.2 Best Practices 2 $
2.2 $ Communities of Practice 2 t
2.2. i Documenting Processes 2~
2.2.5 I)ocument Rep sitories 2
2.2.6 Hxpert Interviews 2~
1.2. Job Aids 28
2.2.S Knowledge Audits 29
2.2.9 Knowledge Fairs 29
2.2.10 Knowledge Maps and Inventories 3
2.2.11 Learning Games 33
2.2.12 Lessons Learned Debriefings 3t
2.2.12.1 Debriefing Process Alternative A 36
xi
xii ¦ Knowledge Management
2.2.12.2 Debriefing Process Alternative B 36
2.2.12.3 Debriefing Process Alternative C 37
2.2.13 Mentoring 38
2.2.14 On the Job Training (OJT) 38
2.2.15 Storytelling 40
2.2.16 Training 42
2.3 Where Do We Go Next? 43
References 43
3 Knowledge Engineering Techniques 45
3.1 Two Levels of Knowledge Elicitation 45
3.1.1 Capturing Procedural or Surface Knowledge 47
3.1.1.1 Interviewing 47
3.1.12 Questionnaires or Surveys 51
3.1.1.3 Observation 53
3.1.1.4 Participation 54
3.1.1.5 Documentation 54
3.1.1.6 Competitive Intelligence 55
3.1.1.7 Brainstorming 56
3.1.1.8 Focus Groups 56
31.2 Capturing Tactical or Strategic Knowledge from Experts 56
3.1.2.1 Structured Interviews 56
3.1.2.2 Task Analysis 57
31.2.3 Learning Rules from Examples 57
3.2 A Knowledge Engineering Methodology 57
3.2.1 Ten Steps for Creating a Knowledge System 58
32.1.1 Step 1: Creating a Knowledge Advisory Board 58
3.2.1.2 Step 2: Creating a Team 59
3.2.1.3 Step 3: Picking the Problem Domain 59
3.2.1.4 Step 4: Identifying the Problem 60
3.2.1.5 Step 5: Conceptualizing the Problem 61
3.2.1.6 Step 6: Formalizing the Problem 63
3.2.1.7 Step 7: Prototyping 63
3.2.1.8 Step 8: Reformalizing or Reassessing the
Problem 64
3.2.1.9 Step 9: Testing 65
3.2.1.10 Step 10: Maintaining the System 66
3.3 Where Do We Go Next? 66
References 66
4 Innovation Management 67
4.1 Sources of Innovation 67
4.2 Generating Innovation 69
4.3 Computerized Brainstorming 72
4.3.1 Understanding the Goal 74
4.3.2 Defining the Strategy 75
4.3.3 Naming the Product 75
4.3.4 Identifying Key Attributes 76
Contents ¦ xiii
4.4 Sustainable Innovation 76
4.5 The S Curve and Innovation Management 78
4.6 How the P Cycle Is Important to Knowledge Management 79
4.7 What Makes a Business Guru? 81
4.8 Knowledge Management at Microsoft 82
4.9 Six Steps for Increasing Creativity and Productivity 85
4.10 Rewarding Employees for Innovative Ideas 88
4.11 Where Do We Go Next? 91
References 91
5 Data Management 93
5.1 Data Management 94
5.1.1 Data 94
5.1.1.1 Text and Numeric Data 94
5.1.1.2 Images 94
5.1.1.3 Geographic Data 94
5.1.1.4 Multimedia: Voice, Animation, and Video 95
5.1.1.5 Objects 95
5.1.2 Databases 95
5.1.3 Data Warehouse — Data Marts 96
5.1.4 Operational Data Stores 97
5.1.5 Data Access 97
5.1.6 Replication 97
5.1.7 Resource Management 98
5.1.8 Security 99
5.2 Data Warehouse Is Something You Do 99
5.2.1 Source Systems 99
5.2.2 Data Staging Area 99
5.2.3 Data Warehouse Database 100
5.2.4 Data Marts 100
5.2.5 Data Extraction, Transformation, Load (ETL) Tools 100
5.2.6 Business Intelligence (BI) 100
5.2.7 Metadata and the Metadata Repository 101
5.3 Data Storage Structures 101
5.31 Extraction, Transformation, and Load 103
5.4 Good Data Management Practices 104
5.4.1 Data Management Roles 104
5.4.1.1 Data Sponsor 104
5.4.1.2 Data Steward 106
5.4.1.3 Data Administration 107
5.4.1.4 Database Administration 109
5.4.1.5 System Administration and System Support Ill
5.4.2 Data Management Responsibilities Ill
5.4.2.1 Development and Management Requirements Ill
5.4.2.2 Identification and Enforcement Standards,
Design, and Implementation 112
5.4.2.3 Data and Mapping Standards 113
xiv ¦ Knowledge Management
5.4.2.4 Quality Control, Data Integrity, and Backup
or Recovery 113
5.4.2.5 Data Sharing 113
5.4.2.6 Change Management and Impact Analysis 113
5.4.2.7 Connectivity 113
5.4.2.8 Input and Update 114
5.4.2.9 Security 114
5.4.2.10 Metadata 114
5.4.2.11 Training 114
5.5 Guidelines 115
5.6 Dictionary of Data Management Terms 122
5.7 Where Do We Go Next? 128
References 128
6 Content Management 129
6.1 Enterprise Information Management 130
6.1.1 Content Management System 131
6.1.2 Document Management Systems/Electronic Document
Management Systems 137
6.1.3 Records Management Systems 142
6.1.3.1 Reliability 144
6.1.3.2 Authenticity 144
6.1.3.3 Integrity 145
6.1.3.4 Usability 145
6.1.3.5 What Are the Records Management Risks
Associated with Web Sites? 145
6.1.3.6 How Can I Conduct a Records Management
Risk Assessment? 146
6.1.3.7 How Do I Track Changes to Web Site Content
Pages between Backups? 147
6.1.3.8 When Preserving Long Term Web Content
Records, How Can I Treat Hyperlinks? 148
6.1.3.9 Digital Asset Management 148
6.2 The Semantic Web 150
6.2.1 The extensible Rule Markup Language 152
6.3 Where Do We Go Next? 153
References 154
7 Business Intelligence 155
7.1 Competitive Advantage and BI 158
7.2 Using Information Technology to Gather Intelligence 159
7.3 Quaker Oats and Frito Lay 159
7.4 The Value of Executive Information Systems 162
7.5 The Science of Gathering Business Intelligence 164
7.6 Checklist for the Information Audit 166
7.6.1 Selecting What Needs to Be Known 167
7.6.2 Collecting the Information 167
Contents ¦ xv
7.6.3 Transforming the Collected Information into Finished
Products 167
7.6.4 Distributing the Finished Product to Appropriate Staff 169
7.7 Lincoln National Corporation 169
7.8 The Competitor Analysis 171
7.8.1 Step 1: Preliminary Meeting 172
7.8.2 Step 2: Information Meeting 172
7.8.3 Step 3: Cost Analysis 172
7.8.4 Step 4: Competitor Motivation 173
7.8.5 Step 5: Total Picture 173
7.9 Automatic Discovery Programs (aka Data Mining) 176
7.10 Data Visualization 179
7.11 Where Do We Go Next? 181
References 181
8 Auditing Knowledge Management 183
8.1 Complexity 183
8.2 Audit Questions 184
8.2.1 Where Did You Get the Knowledge for This System? 185
8.2.2 Did We Get All of the Knowledge? 187
8.2.3 How Much Common Sense Does the Knowledge Based
System Exhibit? 187
8.2.4 Does the Knowledge Based System Make Mistakes? 188
8.2.5 Is the System Kept Up to Date? 189
8.2.6 Will the Users Actually Use the Knowledge Based
System? 189
8.3 An Audit Plan 190
8.4 Risk and Knowledge Management 193
8.5 Linking Knowledge Management to Business Performance 193
8.6 Where Do We Go Next? 195
References 195
9 Project Management Techniques 197
9.1 The Link between Knowledge Management and Product
Management 19
9.2 The Project Planning Document 199
9.2.1 Defining the Plan 199
9.2.1.1 What Will Be Done? 199
9.2.1.2 When Will It Be Done? 199
9.2.1.3 How Much Will It Cost? 199
9.2.1.4 What Resources Will Be Needed? 201
9.2.2 Defining Project Goals 201
9.2.3 Defining Project Scope 201
9.2.4 Time Constraints 202
9.2.5 Budget Constraints 202
92.6 General Requirements 202
9.2.7 Technical Requirements 203
9.2.8 Hardware 203
xvi ¦ Knowledge Management
9.2.9 Operating Systems 203
9.2.10 Networking 203
9 2.11 Application Software 204
9.2.12 Security 204
9.2.13 Scalability 204
9.2.14 Availability 204
9.2.15 Reliability 205
9.2.16 Maintenance 206
9.2.17 Disaster Recovery 206
9.3 Work Breakdown Structure (WBS): The Basis for Project
Estimates 206
9.3.1 The Process of Human Resource Estimation:
An Example 207
9.3.1.1 Project Estimates 207
9 3.1.2 Historical Data Used for Estimates 207
9 3.1.3 Estimation Techniques Applied and Results 208
9 3.2 Other Estimation Techniques 213
9 3 2.1 Estimating Nonhuman Resources 214
9 3.3 Managing Project Resources 215
9 3 3.1 Human Resources 215
9.33.2 Nonhuman Resources 215
93.4 Budgeting 216
9.3 4.1 Top Down 216
9.3.4.2 Bottom Up 217
9.3.4.3 Iterative 217
9 3.5 Budget Analysis 217
9 3.5.1 Cost Benefit Analysis 217
9 3 5.2 Break Even Analysis 219
9.3.5.3 Return on Investment 219
9.4 The Task Network 219
9 4.1 Task Identification and Descriptions 220
9 4.2 Task Sequence 221
9 4.3 Task Precedence 224
9 4.4 The Task List 224
9.4.5 Project Scheduling 225
9.5 The Proactive Risk Strategy 226
9 5.1 Sample Risk Plan 227
9 5.1.1 Scope and Intent of RMMM Activities 228
95.1.2 Risk Management Organizational Role 228
9.5.1.3 Risk Description 228
9.5.1.4 Risk Table 229
9.5.2 RMMM Strategy 229
9.5.2.1 Project Risk RMMM Strategy 230
9 5.2.2 Technical Risk RMMM Strategy 231
95.2.3 Business Risk RMMM Strategy 231
9.6 Where Do We Go Next? 231
References 232
Contents ¦ xvii
Appendices
A Lessons Learned Form 233
B Metrics Guide for Knowledge Management Initiatives 237
B.I Overview 237
B.2 Introduction 238
B.2.1 Building a Knowledge Centric Organization: The Role
of Metrics 239
B.2.2 What Is the Metrics Guide? 241
B.3 Designing Actionable KM Performance Measures 241
B.3.1 The KM Measurement Process 241
B.3.2 Who Are the Stakeholders and What Do They Need
to Know? 241
B.3.3 Which Framework Is Best? 242
B.3.4 What Should Be Measured? 244
B.3.4.1 Qualitative and Quantitative Measures 246
B.3.4.2 A Key Qualitative Measurement Strategy:
Storytelling 248
B.3.4.3 Future Scenarios 249
B.3.4.4 KCO Specific Measures 250
B.3.5 How Should We Collect and Analyze the Measures? 251
B.3.6 What Do the Measures Tell Us? How Should We
Change? 252
B.4 Getting Started 253
B.5 Program and Process Management 253
B.5.1 Business Applications 254
B.5.2 Performance Measures 255
B.5.2.1 Outcome Measures 255
B.5.2.2 Output Measures 256
B.5.2.3 System Measures 256
B.6 Program Execution and Operations 257
B.6.1 Business Applications 257
B.6.2 Performance Measures 259
B.6.2.1 Outcome Measures 259
B.6.2.2 Output Measures 259
B.6.2.3 System Measures 259
B.7 Personnel and Training 259
B.7.1 Business Applications 259
B.7.2 Performance Measures 260
B.7.2.1 Outcome Measures 261
B.7.2.2 Output Measures 261
B.7.2.3 System Measures 261
B.8 Summary of KM Performance Measures 262
References 266
C Web Resources 267
xviii ¦ Knowledge Management
D Selecting a Content Management System Checklist 269
D.I Before You Start 269
D.2 Determining Project Goals and Targets 269
D.3 Determining and Documenting Business Requirements 269
D.4 Producing Documentation 270
D.5 Evaluating and Selecting a CMS 270
References 270
E Checklist for Managing Online Content 271
E.I General 271
E.2 Content Management Issues 271
References 272
F Checklist for KM Professional Services 273
References 274
G Knowledge Management Capacity Checklist 275
G.I Format of the Survey 275
G.2 How to Complete the Survey 276
References 305
H Knowledge and Information Management Competencies 307
I Knowledge Discovery Techniques 315
1.1 Sources of Knowledge 316
1.1.1 Learning from Customers 317
1.1.2 Learning from Your Organization 317
1.1.3 Learning from Other Organizations 318
1.2 KM Techniques 318
1.2.1 Problem Solving 318
1.2.1.1 Exit Interviews 318
1.2.1.2 Speed Dating 319
1.2.1.3 Mind Mapping 319
1.2.2 Organizational Learning Approaches 320
1.2.2.1 After Action Reviews 320
1.2.2.2 Project Reviews 321
1.2.2.3 Baton Passing 321
1.2.3 Organizational Design Approaches 322
1.2.3.1 Virtual Teams 322
1.2.3.2 Coaching and Mentoring 324
1.2.4 Cultural Approaches 324
1.2.4.1 Identifying Intellectual Capital 324
1.2.4.2 Building Communities of Practice (CoP) 326
1.2.5 Advanced Techniques 326
1.2.5.1 Social Network Analysis 326
1.2.5.2 Knowledge Audits 327
1.2.5.3 Design of Space 327
Contents ¦ xix
1.2.5.4 Knowledge Harvesting 328
1.2.5.5 Domain Knowledge Mapping 328
1.2.5.6 Storytelling 329
1.3 Tools for Organizing Knowledge Assets 329
1.3.1 Tools Based on Database Technologies 329
1.3.2 Electronic Document Management Systems (EDMS) 329
1.3 3 Metadata Management Systems 329
1.3.4 Generalized Retrieval Systems 330
1.3.5 Tools for Collaboration 330
1.4 Frameworks 331
1.5 Producing Corporate KM Strategies 332
1.6 Theories of Knowledge 332
Note 334
References 334
J Selecting and Integrating a Metadata Repository 335
J.I How to Use This Appendix 336
J.I. 1 Evaluating the Repository Workbench 337
J.I.1.1 Repository 337
J.I. 1.2 Integration 347
J.I.1.3 Tools 353
J.I.2 Preparing for the Repository Workbench 360
J.I.3 Repository Metrics 363
J.1.3.1 DBA Objective Metrics 363
J.I.3.2 Repository Workbench Metrics 364
J.I.4 Scoring the Repository Workbench 366
References 367
K Sample Use Cases 369
K.I Use Cases 369
K.I.I Client 369
K.I.1.1 Free Tour 369
K.I.1.2 Client Registration 370
K.I.1.3 Searching the Database 370
K.I.1.4 Using the Discussion Board 370
K.I.1.5 Accessing Billing History 371
K.I.1.6 Submitting Feedback 371
K.I.1.7 Accessing Help 372
K.I.2 Staff 372
K.1.2.1 Accessing Database Information 372
K.1.2.2 Accessing Billing History 373
K.I.3 Administration 373
K.I.3.1 Grant Access Level 373
K.I.3 2 Generate Reports 374
K.I.3.3 Update the Web Site 374
K.I.3.4 Review Feedback 374
xx ¦ Knowledge Management
L Community of Practice: A Practitioner s Guide 377
L.I Introduction 377
L.2 Getting Started: How to Create a Community 377
L.3 Creating Knowledge 399
L.4 Building the Knowledge Base 431
L.5 Sustaining Communities 444
Note 450
M Requirements Analysis Matrix 451
Index 461
|
| adam_txt |
CONTENTS
Information Intelligence xxi
1 The New Intelligence: The Birth of the Knowledge
Management Industry 1
1.1 Buried in Information 1
1.2 From Batch to Decision Support 3
1.2.1 Types of Decision Makers 3
1.2.2 Filtering I
1.2.3 Transforming Information into Knowledge 5
1.3 A Short Course in Knowledge Representation 6
l. i Data. Information, Knowledge, and Wisdom — and Why Vie
Need to Do This 13
1.5 Embedding Knowledge Management in the Organization 15
1.6 Where Do We Go Next? IX
References IS
2 Knowledge Management Transfer Strategies 19
2.1 KM Frameworks 20
2.2 Knowledge Transfer Techniques 22
2.2.1 Apprenticeships. Internships, and Trainceships 2\$
2.2.2 Best Practices 2\$
2.2\$ Communities of Practice 2 t
2.2. i Documenting Processes 2~
2.2.5 I)ocument Rep sitories 2"
2.2.6 Hxpert Interviews 2~
1.2." Job Aids 28
2.2.S Knowledge Audits 29
2.2.9 Knowledge Fairs 29
2.2.10 Knowledge Maps and Inventories 3"
2.2.11 Learning Games 33
2.2.12 Lessons Learned Debriefings 3t
2.2.12.1 Debriefing Process Alternative A 36
xi
xii ¦ Knowledge Management
2.2.12.2 Debriefing Process Alternative B 36
2.2.12.3 Debriefing Process Alternative C 37
2.2.13 Mentoring 38
2.2.14 On the Job Training (OJT) 38
2.2.15 Storytelling 40
2.2.16 Training 42
2.3 Where Do We Go Next? 43
References 43
3 Knowledge Engineering Techniques 45
3.1 Two Levels of Knowledge Elicitation 45
3.1.1 Capturing Procedural or Surface Knowledge 47
3.1.1.1 Interviewing 47
3.1.12 Questionnaires or Surveys 51
3.1.1.3 Observation 53
3.1.1.4 Participation 54
3.1.1.5 Documentation 54
3.1.1.6 Competitive Intelligence 55
3.1.1.7 Brainstorming 56
3.1.1.8 Focus Groups 56
31.2 Capturing Tactical or Strategic Knowledge from Experts 56
3.1.2.1 Structured Interviews 56
3.1.2.2 Task Analysis 57
31.2.3 Learning Rules from Examples 57
3.2 A Knowledge Engineering Methodology 57
3.2.1 Ten Steps for Creating a Knowledge System 58
32.1.1 Step 1: Creating a Knowledge Advisory Board 58
3.2.1.2 Step 2: Creating a Team 59
3.2.1.3 Step 3: Picking the Problem Domain 59
3.2.1.4 Step 4: Identifying the Problem 60
3.2.1.5 Step 5: Conceptualizing the Problem 61
3.2.1.6 Step 6: Formalizing the Problem 63
3.2.1.7 Step 7: Prototyping 63
3.2.1.8 Step 8: Reformalizing or Reassessing the
Problem 64
3.2.1.9 Step 9: Testing 65
3.2.1.10 Step 10: Maintaining the System 66
3.3 Where Do We Go Next? 66
References 66
4 Innovation Management 67
4.1 Sources of Innovation 67
4.2 Generating Innovation 69
4.3 Computerized Brainstorming 72
4.3.1 Understanding the Goal 74
4.3.2 Defining the Strategy 75
4.3.3 Naming the Product 75
4.3.4 Identifying Key Attributes 76
Contents ¦ xiii
4.4 Sustainable Innovation 76
4.5 The S Curve and Innovation Management 78
4.6 How the P Cycle Is Important to Knowledge Management 79
4.7 What Makes a Business Guru? 81
4.8 Knowledge Management at Microsoft 82
4.9 Six Steps for Increasing Creativity and Productivity 85
4.10 Rewarding Employees for Innovative Ideas 88
4.11 Where Do We Go Next? 91
References 91
5 Data Management 93
5.1 Data Management 94
5.1.1 Data 94
5.1.1.1 Text and Numeric Data 94
5.1.1.2 Images 94
5.1.1.3 Geographic Data 94
5.1.1.4 Multimedia: Voice, Animation, and Video 95
5.1.1.5 Objects 95
5.1.2 Databases 95
5.1.3 Data Warehouse — Data Marts 96
5.1.4 Operational Data Stores 97
5.1.5 Data Access 97
5.1.6 Replication 97
5.1.7 Resource Management 98
5.1.8 Security 99
5.2 Data Warehouse Is Something You Do 99
5.2.1 Source Systems 99
5.2.2 Data Staging Area 99
5.2.3 Data Warehouse Database 100
5.2.4 Data Marts 100
5.2.5 Data Extraction, Transformation, Load (ETL) Tools 100
5.2.6 Business Intelligence (BI) 100
5.2.7 Metadata and the Metadata Repository 101
5.3 Data Storage Structures 101
5.31 Extraction, Transformation, and Load 103
5.4 Good Data Management Practices 104
5.4.1 Data Management Roles 104
5.4.1.1 Data Sponsor 104
5.4.1.2 Data Steward 106
5.4.1.3 Data Administration 107
5.4.1.4 Database Administration 109
5.4.1.5 System Administration and System Support Ill
5.4.2 Data Management Responsibilities Ill
5.4.2.1 Development and Management Requirements Ill
5.4.2.2 Identification and Enforcement Standards,
Design, and Implementation 112
5.4.2.3 Data and Mapping Standards 113
xiv ¦ Knowledge Management
5.4.2.4 Quality Control, Data Integrity, and Backup
or Recovery 113
5.4.2.5 Data Sharing 113
5.4.2.6 Change Management and Impact Analysis 113
5.4.2.7 Connectivity 113
5.4.2.8 Input and Update 114
5.4.2.9 Security 114
5.4.2.10 Metadata 114
5.4.2.11 Training 114
5.5 Guidelines 115
5.6 Dictionary of Data Management Terms 122
5.7 Where Do We Go Next? 128
References 128
6 Content Management 129
6.1 Enterprise Information Management 130
6.1.1 Content Management System 131
6.1.2 Document Management Systems/Electronic Document
Management Systems 137
6.1.3 Records Management Systems 142
6.1.3.1 Reliability 144
6.1.3.2 Authenticity 144
6.1.3.3 Integrity 145
6.1.3.4 Usability 145
6.1.3.5 What Are the Records Management Risks
Associated with Web Sites? 145
6.1.3.6 How Can I Conduct a Records Management
Risk Assessment? 146
6.1.3.7 How Do I Track Changes to Web Site Content
Pages between Backups? 147
6.1.3.8 When Preserving Long Term Web Content
Records, How Can I Treat Hyperlinks? 148
6.1.3.9 Digital Asset Management 148
6.2 The Semantic Web 150
6.2.1 The extensible Rule Markup Language 152
6.3 Where Do We Go Next? 153
References 154
7 Business Intelligence 155
7.1 Competitive Advantage and BI 158
7.2 Using Information Technology to Gather Intelligence 159
7.3 Quaker Oats and Frito Lay 159
7.4 The Value of Executive Information Systems 162
7.5 The Science of Gathering Business Intelligence 164
7.6 Checklist for the Information Audit 166
7.6.1 Selecting What Needs to Be Known 167
7.6.2 Collecting the Information 167
Contents ¦ xv
7.6.3 Transforming the Collected Information into Finished
Products 167
7.6.4 Distributing the Finished Product to Appropriate Staff 169
7.7 Lincoln National Corporation 169
7.8 The Competitor Analysis 171
7.8.1 Step 1: Preliminary Meeting 172
7.8.2 Step 2: Information Meeting 172
7.8.3 Step 3: Cost Analysis 172
7.8.4 Step 4: Competitor Motivation 173
7.8.5 Step 5: Total Picture 173
7.9 Automatic Discovery Programs (aka Data Mining) 176
7.10 Data Visualization 179
7.11 Where Do We Go Next? 181
References 181
8 Auditing Knowledge Management 183
8.1 Complexity 183
8.2 Audit Questions 184
8.2.1 Where Did You Get the Knowledge for This System? 185
8.2.2 Did We Get All of the Knowledge? 187
8.2.3 How Much Common Sense Does the Knowledge Based
System Exhibit? 187
8.2.4 Does the Knowledge Based System Make Mistakes? 188
8.2.5 Is the System Kept Up to Date? 189
8.2.6 Will the Users Actually Use the Knowledge Based
System? 189
8.3 An Audit Plan 190
8.4 Risk and Knowledge Management 193
8.5 Linking Knowledge Management to Business Performance 193
8.6 Where Do We Go Next? 195
References 195
9 Project Management Techniques 197
9.1 The Link between Knowledge Management and Product
Management 19""
9.2 The Project Planning Document 199
9.2.1 Defining the Plan 199
9.2.1.1 What Will Be Done? 199
9.2.1.2 When Will It Be Done? 199
9.2.1.3 How Much Will It Cost? 199
9.2.1.4 What Resources Will Be Needed? 201
9.2.2 Defining Project Goals 201
9.2.3 Defining Project Scope 201
9.2.4 Time Constraints 202
9.2.5 Budget Constraints 202
92.6 General Requirements 202
9.2.7 Technical Requirements 203
9.2.8 Hardware 203
xvi ¦ Knowledge Management
9.2.9 Operating Systems 203
9.2.10 Networking 203
9 2.11 Application Software 204
9.2.12 Security 204
9.2.13 Scalability 204
9.2.14 Availability 204
9.2.15 Reliability 205
9.2.16 Maintenance 206
9.2.17 Disaster Recovery 206
9.3 Work Breakdown Structure (WBS): The Basis for Project
Estimates 206
9.3.1 The Process of Human Resource Estimation:
An Example 207
9.3.1.1 Project Estimates 207
9 3.1.2 Historical Data Used for Estimates 207
9 3.1.3 Estimation Techniques Applied and Results 208
9 3.2 Other Estimation Techniques 213
9 3 2.1 Estimating Nonhuman Resources 214
9 3.3 Managing Project Resources 215
9 3 3.1 Human Resources 215
9.33.2 Nonhuman Resources 215
93.4 Budgeting 216
9.3 4.1 Top Down 216
9.3.4.2 Bottom Up 217
9.3.4.3 Iterative 217
9 3.5 Budget Analysis 217
9 3.5.1 Cost Benefit Analysis 217
9 3 5.2 Break Even Analysis 219
9.3.5.3 Return on Investment 219
9.4 The Task Network 219
9 4.1 Task Identification and Descriptions 220
9 4.2 Task Sequence 221
9 4.3 Task Precedence 224
9 4.4 The Task List 224
9.4.5 Project Scheduling 225
9.5 The Proactive Risk Strategy 226
9 5.1 Sample Risk Plan 227
9 5.1.1 Scope and Intent of RMMM Activities 228
95.1.2 Risk Management Organizational Role 228
9.5.1.3 Risk Description 228
9.5.1.4 Risk Table 229
9.5.2 RMMM Strategy 229
9.5.2.1 Project Risk RMMM Strategy 230
9 5.2.2 Technical Risk RMMM Strategy 231
95.2.3 Business Risk RMMM Strategy 231
9.6 Where Do We Go Next? 231
References 232
Contents ¦ xvii
Appendices
A Lessons Learned Form 233
B Metrics Guide for Knowledge Management Initiatives 237
B.I Overview 237
B.2 Introduction 238
B.2.1 Building a Knowledge Centric Organization: The Role
of Metrics 239
B.2.2 What Is the Metrics Guide? 241
B.3 Designing Actionable KM Performance Measures 241
B.3.1 The KM Measurement Process 241
B.3.2 Who Are the Stakeholders and What Do They Need
to Know? 241
B.3.3 Which Framework Is Best? 242
B.3.4 What Should Be Measured? 244
B.3.4.1 Qualitative and Quantitative Measures 246
B.3.4.2 A Key Qualitative Measurement Strategy:
Storytelling 248
B.3.4.3 Future Scenarios 249
B.3.4.4 KCO Specific Measures 250
B.3.5 How Should We Collect and Analyze the Measures? 251
B.3.6 What Do the Measures Tell Us? How Should We
Change? 252
B.4 Getting Started 253
B.5 Program and Process Management 253
B.5.1 Business Applications 254
B.5.2 Performance Measures 255
B.5.2.1 Outcome Measures 255
B.5.2.2 Output Measures 256
B.5.2.3 System Measures 256
B.6 Program Execution and Operations 257
B.6.1 Business Applications 257
B.6.2 Performance Measures 259
B.6.2.1 Outcome Measures 259
B.6.2.2 Output Measures 259
B.6.2.3 System Measures 259
B.7 Personnel and Training 259
B.7.1 Business Applications 259
B.7.2 Performance Measures 260
B.7.2.1 Outcome Measures 261
B.7.2.2 Output Measures 261
B.7.2.3 System Measures 261
B.8 Summary of KM Performance Measures 262
References 266
C Web Resources 267
xviii ¦ Knowledge Management
D Selecting a Content Management System Checklist 269
D.I Before You Start 269
D.2 Determining Project Goals and Targets 269
D.3 Determining and Documenting Business Requirements 269
D.4 Producing Documentation 270
D.5 Evaluating and Selecting a CMS 270
References 270
E Checklist for Managing Online Content 271
E.I General 271
E.2 Content Management Issues 271
References 272
F Checklist for KM Professional Services 273
References 274
G Knowledge Management Capacity Checklist 275
G.I Format of the Survey 275
G.2 How to Complete the Survey 276
References 305
H Knowledge and Information Management Competencies 307
I Knowledge Discovery Techniques 315
1.1 Sources of Knowledge 316
1.1.1 Learning from Customers 317
1.1.2 Learning from Your Organization 317
1.1.3 Learning from Other Organizations 318
1.2 KM Techniques 318
1.2.1 Problem Solving 318
1.2.1.1 Exit Interviews 318
1.2.1.2 Speed Dating 319
1.2.1.3 Mind Mapping 319
1.2.2 Organizational Learning Approaches 320
1.2.2.1 After Action Reviews 320
1.2.2.2 Project Reviews 321
1.2.2.3 Baton Passing 321
1.2.3 Organizational Design Approaches 322
1.2.3.1 Virtual Teams 322
1.2.3.2 Coaching and Mentoring 324
1.2.4 Cultural Approaches 324
1.2.4.1 Identifying Intellectual Capital 324
1.2.4.2 Building Communities of Practice (CoP) 326
1.2.5 Advanced Techniques 326
1.2.5.1 Social Network Analysis 326
1.2.5.2 Knowledge Audits 327
1.2.5.3 Design of Space 327
Contents ¦ xix
1.2.5.4 Knowledge Harvesting 328
1.2.5.5 Domain Knowledge Mapping 328
1.2.5.6 Storytelling 329
1.3 Tools for Organizing Knowledge Assets 329
1.3.1 Tools Based on Database Technologies 329
1.3.2 Electronic Document Management Systems (EDMS) 329
1.3 3 Metadata Management Systems 329
1.3.4 Generalized Retrieval Systems 330
1.3.5 Tools for Collaboration 330
1.4 Frameworks 331
1.5 Producing Corporate KM Strategies 332
1.6 Theories of Knowledge 332
Note 334
References 334
J Selecting and Integrating a Metadata Repository 335
J.I How to Use This Appendix 336
J.I. 1 Evaluating the Repository Workbench 337
J.I.1.1 Repository 337
J.I. 1.2 Integration 347
J.I.1.3 Tools 353
J.I.2 Preparing for the Repository Workbench 360
J.I.3 Repository Metrics 363
J.1.3.1 DBA Objective Metrics 363
J.I.3.2 Repository Workbench Metrics 364
J.I.4 Scoring the Repository Workbench 366
References 367
K Sample Use Cases 369
K.I Use Cases 369
K.I.I Client 369
K.I.1.1 Free Tour 369
K.I.1.2 Client Registration 370
K.I.1.3 Searching the Database 370
K.I.1.4 Using the Discussion Board 370
K.I.1.5 Accessing Billing History 371
K.I.1.6 Submitting Feedback 371
K.I.1.7 Accessing Help 372
K.I.2 Staff 372
K.1.2.1 Accessing Database Information 372
K.1.2.2 Accessing Billing History 373
K.I.3 Administration 373
K.I.3.1 Grant Access Level 373
K.I.3 2 Generate Reports 374
K.I.3.3 Update the Web Site 374
K.I.3.4 Review Feedback 374
xx ¦ Knowledge Management
L Community of Practice: A Practitioner's Guide 377
L.I Introduction 377
L.2 Getting Started: How to Create a Community 377
L.3 Creating Knowledge 399
L.4 Building the Knowledge Base 431
L.5 Sustaining Communities 444
Note 450
M Requirements Analysis Matrix 451
Index 461 |
| any_adam_object | 1 |
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| author | Keyes, Jessica 1950- |
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| dewey-sort | 3658.4 238 |
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| discipline | Wirtschaftswissenschaften |
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| illustrated | Illustrated |
| index_date | 2024-07-02T17:47:08Z |
| indexdate | 2024-07-09T20:58:27Z |
| institution | BVB |
| isbn | 9780849393853 084939385X |
| language | English |
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| spelling | Keyes, Jessica 1950- Verfasser (DE-588)128714824 aut Knowledge management, business intelligence, and content management the IT practitioner's guide Jessica Keyes Boca Raton, FL Auerbach Publications 2006 xxi, 475 p. ill., graph. Darst. 25 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Gestion de l'information Gestion des connaissances Gestão da informação larpcal Gestão do conhecimento larpcal Inteligência empresarial larpcal Technologie de l'information Tecnologia da informação (administração) larpcal Information technology Information resources management Knowledge management http://www.loc.gov/catdir/enhancements/fy0659/2005057127-d.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015684836&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Keyes, Jessica 1950- Knowledge management, business intelligence, and content management the IT practitioner's guide Gestion de l'information Gestion des connaissances Gestão da informação larpcal Gestão do conhecimento larpcal Inteligência empresarial larpcal Technologie de l'information Tecnologia da informação (administração) larpcal Information technology Information resources management Knowledge management |
| title | Knowledge management, business intelligence, and content management the IT practitioner's guide |
| title_auth | Knowledge management, business intelligence, and content management the IT practitioner's guide |
| title_exact_search | Knowledge management, business intelligence, and content management the IT practitioner's guide |
| title_exact_search_txtP | Knowledge management, business intelligence, and content management the IT practitioner's guide |
| title_full | Knowledge management, business intelligence, and content management the IT practitioner's guide Jessica Keyes |
| title_fullStr | Knowledge management, business intelligence, and content management the IT practitioner's guide Jessica Keyes |
| title_full_unstemmed | Knowledge management, business intelligence, and content management the IT practitioner's guide Jessica Keyes |
| title_short | Knowledge management, business intelligence, and content management |
| title_sort | knowledge management business intelligence and content management the it practitioner s guide |
| title_sub | the IT practitioner's guide |
| topic | Gestion de l'information Gestion des connaissances Gestão da informação larpcal Gestão do conhecimento larpcal Inteligência empresarial larpcal Technologie de l'information Tecnologia da informação (administração) larpcal Information technology Information resources management Knowledge management |
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