Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide
Knowledge management (KM) is the identification and analysis of available and required knowledge, and the subsequent planning and control of actions, to develop "knowledge assets" that enable businesses to generate profits and improve their competitive positions. This volume provides the f...
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Ngôn ngữ: | English |
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CRC Press
2009
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Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1474 |
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Knowledge management (KM) is the identification and analysis of available and required knowledge, and the subsequent planning and control of actions, to develop "knowledge assets" that enable businesses to generate profits and improve their competitive positions. This volume provides the framework for the strategic use of the information intelligence processes - business intelligence, content management, and knowledge management.
In nine detailed chapters, the author explains every facet of these three subjects, enabling you to understand these sophisticated business concepts within the framework of information technology.
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide discusses creation, protection, development, sharing, and management of information and intellectual assets through the use of business intelligence and other knowledge sharing and analytical techniques.
About the Author
Jessica Keyes is president of New Art Technologies, Inc., a high-technology and management consultancy, and is also founding partner of Manhattan Technology Group. Often a keynote speaker on the topics of competitive strategy, productivity, and quality, she is a founding board of directors member of the New York Software Industry Association, and has recently completed a 2-year term on the Mayor of New York City's Small Business Advisory Council. A noted columnist and correspondent, Keyes is the author of 19 books, including Auerbach Publications' Software Engineering Handbook, Software Configuration Management, and Implementing the IT Balanced Scorecard. |
format |
Book |
title |
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide |
spellingShingle |
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide |
title_short |
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 |
title_fullStr |
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide |
title_full_unstemmed |
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide |
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knowledge management, business intelligence, and content management: the it practitioner's guide |
publisher |
CRC Press |
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2009 |
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http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1474 |
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oai:scholar.dlu.edu.vn:DLU123456789-14742009-12-02T09:24:55Z Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide Knowledge management (KM) is the identification and analysis of available and required knowledge, and the subsequent planning and control of actions, to develop "knowledge assets" that enable businesses to generate profits and improve their competitive positions. This volume provides the framework for the strategic use of the information intelligence processes - business intelligence, content management, and knowledge management. In nine detailed chapters, the author explains every facet of these three subjects, enabling you to understand these sophisticated business concepts within the framework of information technology. Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide discusses creation, protection, development, sharing, and management of information and intellectual assets through the use of business intelligence and other knowledge sharing and analytical techniques. About the Author Jessica Keyes is president of New Art Technologies, Inc., a high-technology and management consultancy, and is also founding partner of Manhattan Technology Group. Often a keynote speaker on the topics of competitive strategy, productivity, and quality, she is a founding board of directors member of the New York Software Industry Association, and has recently completed a 2-year term on the Mayor of New York City's Small Business Advisory Council. A noted columnist and correspondent, Keyes is the author of 19 books, including Auerbach Publications' Software Engineering Handbook, Software Configuration Management, and Implementing the IT Balanced Scorecard. The New Intelligence: The Birth of the Knowledge Management Industry Buried in Information From Batch to Decision Support A Short Course in Knowledge Representation Data, Information, Knowledge, and Wisdom - and Why We Need to Do This Embedding Knowledge Management in the Organization Where Do We Go Next? Knowledge Management Transfer Strategies KM Frameworks Knowledge Transfer Techniques Where Do We Go Next? Knowledge-Engineering Techniques Two Levels of Knowledge Elicitation A Knowledge-Engineering Methodology Where Do We Go Next? Innovation Management Sources of Innovation Generating Innovation Computerized Brainstorming Sustainable Innovation The S-Curve and Innovation Management How the P-Cycle is Important to Knowledge Management What Makes a Business Guru? Knowledge Management at Microsoft Six Steps for Increasing Creativity and Productivity Rewarding Employees for Innovative Ideas Where Do We Go Next? Data Management Data Management Data Warehouse Is Something You Do Data Storage Structures Good Data Management Practices Guidelines Dictionary of Data Management Terms Where Do We Go Next? Content Management Enterprise Information Management The Semantic Web Where Do We Go Next? Business Intelligence Competitive Advantage and BI Using Information Technology to Gather Intelligence Quaker Oats and Frito-Lay The Value of Executive Information Systems The Science of Gathering Business Intelligence Checklist for the Information Audit Lincoln National Corporation The Competitor Analysis Automatic Discovery Programs (aka Data Mining) Data Visualization Where Do We Go Next? Auditing Knowledge Management Complexity Audit Questions An Audit Plan Risk and Knowledge Management Linking Knowledge Management to Business Performance Where Do We Go Next? Project Management Techniques The Link between Knowledge Management and Product Management The Project Planning Document Work Breakdown Structure (WBS): The Basis for Project Estimates The Task Network The Proactive Risk Strategy Where Do We Go Next? APPENDICES A Lessons Learned Form B Metrics Guide for Knowledge Management Initiatives Overview Introduction Designing Actionable KM Performance Measures Getting Started Program and Process Management Program Execution and Operations Personnel and Training Summary of KM Performance Measures C Web Resources D Selecting a Content Management System Checklist Before You Start Determining Project Goals and Targets Determining and Documenting Business Requirements Producing Documentation Evaluating and Selecting a CMS Checklist for Managing Online Content General Content Management Issues Checklist for KM Professional Services Knowledge Management Capacity Checklist Format of the Survey How to Complete the Survey H Knowledge and Information Management Competencies I Knowledge Discovery Techniques Sources of Knowledge KM Techniques Tools for Organizing Knowledge Assets Frameworks Producing Corporate KM Strategies Theories of Knowledge Selecting and Integrating a Metadata Repository How to Use This Appendix K Sample Use Cases Use Cases Use-Case Diagram L Community of Practice: A Practitioner's Guide Introduction Getting Started: How to Create a Community Creating Knowledge Building the Knowledge Base Sustaining Communities 2009-12-02T09:24:55Z 2009-12-02T09:24:55Z 2006 Book http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1474 en application/rar CRC Press |