Flylib.com
List of Figures
Previous page
Table of content
Chapter 1: The Data Quality Problem
Figure 1.1: Examples of cross-company systems.
Figure 1.2: Demands on operational databases.
Figure 1.3: Reasons not much has been done about quality problems.
Chapter 2: Definition of Accurate Data
Figure 2.1: Breakdown of data within a set of data.
Figure 2.2: Chart of accurate/inaccurate values and those that are findable and fixable.
Figure 2.3: Effects of improvements.
Figure 2.4: Step function influence on tolerance levels.
Chapter 3: Sources of Inaccurate Data
Figure 3.1: Areas where inaccuracies occur.
Figure 3.2: Accuracy of decayable elements over time.
Figure 3.3: List of projects that require restructuring and movement of data.
Figure 3.4: Steps in the data movement process.
Chapter 4: Data Quality Assurance
Figure 4.1: Components of a data quality assurance group.
Figure 4.2: Components of a data quality assurance program.
Figure 4.3: Methodology comparisons.
Chapter 5: Data Quality Issues Management
Figure 5.1: Issue management phases.
Figure 5.2: Factors in evaluating data capture processes in the data capture environment.
Figure 5.3: Data quality issue remedy types.
Chapter 6: The Business Case for Accurate Data
Figure 6.1: General model of business case.
Figure 6.2: Project selection criteria.
Figure 6.3: The business case for project services.
Chapter 7: Data Profiling Overview
Figure 7.1: Data profiling model.
Figure 7.2: Data profiling steps.
Figure 7.3: Example of a business object.
Chapter 8: Column Property Analysis
Figure 8.1: Definitional elements.
Figure 8.2: Typical properties.
Figure 8.3: Example of domain versus property definitions.
Figure 8.4: Column property analysis process.
Figure 8.5: Typical data types.
Figure 8.6: List of valid value rule types.
Chapter 9: Structure Analysis
Figure 9.1: Functional dependencies.
Figure 9.2: Keys.
Figure 9.3: Example of data in normal forms.
Figure 9.4: Examples of denormalized tables.
Figure 9.5: Synonym types.
Figure 9.6: Structure analysis process.
Figure 9.7: Multiple-column synonym example.
Figure 9.8: Synonym classifications.
Chapter 10: Simple Data Rule Analysis
Figure 10.1: Process for analyzing simple data rules.
Chapter 11: Complex Data Rule Analysis
Figure 11.1: Process for profiling complex data rules.
Chapter 12: Value Rule Analysis
Figure 12.1: Value rule analysis process
Appendix A: Examples of Column Properties, Data Structure, Data Rules, and Value Rules
Figure A.I: Table diagram.
Previous page
Table of content
Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)
ISBN: 1558608915
EAN: 2147483647
Year: 2003
Pages: 133
Authors:
Jack E. Olson
BUY ON AMAZON
ADO.NET 3.5 Cookbook (Cookbooks (OReilly))
Connecting to a Password-Protected Access Database
Storing Connection Strings
Using Transactions with Pooled Connections
Filtering and Sorting Data
Listing Tables in an Access Database
Cisco IOS in a Nutshell (In a Nutshell (OReilly))
Enabling SNMP
Line Commands
Serial Interfaces
OSPF
Network Address Translation (NAT)
Microsoft VBScript Professional Projects
Arrays
Customizing the Start Menu and Quick Launch Toolbar
Developing Script Log Analyzers
Collecting Remote Summary Reports
Building the Web Sites Main Page
HTI+ Home Technology Integrator & CEDIA Installer I All-In-One Exam Guide
Distributed Video Basics
Designing a Home Lighting Control System
HVAC Controls
Designing a Home Security System
Home Security Surveillance Systems
Microsoft Office Visio 2007 Step by Step (Step By Step (Microsoft))
Working Within the Visio Environment
Key Points
Adding Text to Shapes and the Drawing Page
Moving, Sizing, Rotating, and Copying Shapes
Glossary
VBScript in a Nutshell, 2nd Edition
Program Flow
Program Flow
WSH Language Elements
VBScript with Internet Explorer
Section A.9. File System Objects
flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net
Privacy policy
This website uses cookies. Click
here
to find out more.
Accept cookies