Keyes Knowledge Management, Business Intelligence, and Content Management

The IT Practitioner's Guide
Erscheinungsjahr 2006
ISBN: 978-1-4200-1386-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 504 Seiten

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.

Zielgruppe

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

Autoren/Hrsg.

Keyes, Jessica

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerkmanagement
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

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