
Information-Driven Business : How to Manage Data and Information for Maximum Advantage
by Robert Hillard-
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Summary
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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