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Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide

Autor Jessica Keyes
en Limba Engleză Hardback – mai 2006
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.
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Specificații

ISBN-13: 9780849393853
ISBN-10: 084939385X
Pagini: 475
Ilustrații: 35 b/w images, 25 tables and 12 equations
Dimensiuni: 160 x 243 x 32 mm
Greutate: 0.84 kg
Ediția:1
Editura: Auerbach Publications

Public țintă

IT managers and CIOs, business analysts, software developers, and data analysts.

Cuprins

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

M