Information-Driven Business : How to Manage Data and Information for Maximum Advantage

by
Format: eBook
Pub. Date: 2010-07-01
Publisher(s): Wiley
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Summary

Information doesn't just provide a window on the business, increasingly it is the business. The global economy is moving from products to services which are described almost entirely electronically. Even those businesses that are traditionally associated with making things are less concerned with managing the manufacturing process (which is largely outsourced) than they are with maintaining their intellectual property.Information-Driven Business helps you to understand this change and find the value in your data. Hillard explains techniques that organizations can use and how businesses can apply them immediately. For example, simple changes to the way data is described will let staff support their customers much more quickly; and two simple measures let executives know whether they will be able to use the content of a database before it is even built. This book provides the foundation on which analytical and data rich organizations can be created.Innovative and revealing, this book provides a robust description of Information Management theory and how you can pragmatically apply it to real business problems, with almost instant benefits. Information-Driven Business comprehensively tackles the challenge of managing information, starting with why information has become important and how it is encoded, through to how to measure its use.

Table of Contents

Preface
Acknowledgments
Understanding the Information Economy
Did the Internet Create the Information Economy?
Origins of Electronic Data Storage
Stocks and Flows
Business Data
Changing Business Models
Information Sharing versus Infrastructure Sharing
Governing the New Business
Success in the Information Economy
Note
The Language of Information
Structured Query Language
Statistics
XQuery Language
Spreadsheets
Documents and Web Pages
Knowledge, Communications, and Information Theory
Notes
Information Governance
Information Currency
Economic Value of Data
Goals of Information Governance
Organizational Models
Ownership of Information
Strategic Value Models
Repackaging of Information
Lifecycle
Notes
Describing Structured Data
Networks and Graphs
Brief Introduction to Graphs
Relational Modeling
Relational Concepts
Cardinality and Entity-Relationship Diagrams
Normalization
Impact of Time and Date on Relational Models
Applying Graph Theory to Data Models
Directed Graphs
Normalized Models
Note
Small Worlds Business Measure of Data
Small Worlds
Measuring the Problem and Solution
Abstracting Information as a Graph
Metrics
Interpreting the Results
Navigating the Information Graph
Information Relationships Quickly Get Complex
Using the Technique
Note
Measuring the Quantity of Information
Definition of Information
Thermal Entropy
Information Entropy
Entropy versus Storage
Enterprise Information Entropy
Decision Entropy
Conclusion and Application
Notes
Describing the Enterprise
Size of the Undertaking
Enterprise Data Models Are All or Nothing
The Data Model as a Panacea
Metadata
The Metadata Solution
Master Data versus Metadata
The Metadata Model
XML Taxonomies
Metadata Standards
Collaborative Metadata
Metadata Technology
Data Quality Metadata
History
Executive Buy-in
Notes
A Model for Computing Based on Information Search
Function-Centric Applications
An Information-Centric Business
Enterprise Search
Security
Metadata Search Repository
Building the Extracts
The Result
Note
Complexity, Chaos, and System Dynamics
Early Information Management
Simple Spreadsheets
Complexity
Chaos Theory
Why Information Is Complex
Extending a Prototype
System Dynamics
Data as an Algorithm
Virtual Models and Integration
Chaos or Complexity
Notes
Comparing Data Warehouse Architectures
Data Warehousing
Contrasting the Inmon and Kimball Approaches to Data Warehouses
Quantity Implications
Usability Implications
Historical Data
Summary
Notes
Layered View of Information
Information Layers
Are They Real?
Turning the Layers into an Architecture
The User Interface
Selling the Architecture
Master Data Management
Publish and Subscribe
About Time
Granularity, Terminology, and Hierarchies
Consistent Terminology
Everyone Owns the Hierarchies
Consistent Granularity
Reconciling Inconsistencies
Slowly Changing Dimensions
Customer Data Integration
Extending the Metadata Model
Technology
Information and Data Quality
Spreadsheets
Referencing
Fit for Purpose
Measuring Structured Data Quality
A Scorecard
Metadata Quality
Extended Metadata Model
Notes
Security
Cryptography
Public Key Cryptography
Applying PKI
Predicting the Unpredictable
Protecting an Individual's Right to Privacy
Securing the Content versus Securing the Reference
Opening up to the Crowd
A Taxonomy for the Future
Populating the Stakeholder Attributes
Reducing Email Traffic within Projects
Managing Customer Email
General Email
Preparing for the Unknown
Charters
Information Is Dynamic
Power of the Crowd Can Improve your Data Quality
Note
Building Incremental Knowledge
Bayesian Probabilities
Information from Processes
The MIT Beer Game
Hypothesis Testing and Confidence Levels
Business Activity Monitoring
Note
Enterprise Information Architecture
Website Information Architecture
Extending the Information Architecture
Business Context
Users
Content
Top-Down/Bottom-Up
Presentation Format
Project Resourcing
Information to Support Decision Making
Note
Looking to the Future
About the Author
Index
Table of Contents provided by Publisher. All Rights Reserved.

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