The 17th Information Quality Conference 2005 Houston, TX, USA September 19-23, 2005   Information Quality Track 4

Tuesday, September 20:

10:15-11:15 Europe, A Whole Other Ballgame
    Jos de Kruif, Ticketing Manager, CTS Eventim & Holger Wandt, Principal Advisor, Human Inference

1:30-2:30 Poor Data Quality Gives Enterprise Search a Bad Rap
Mark Bennett, Vice President / Co-founder, New Idea Engineering, Inc.

2:45-3:45 No Session

Wednesday, September 21:
10:00-11:00 The Design and Testing of a Record Matching System
    Andrew Borthwick, CEO, Choicemaker Technologies, Inc.

11:15-12:15 Compliance and Achieving IQ in Integration Architecture
     Daniel Linstedt, Chief Technology Officer, Myers-Holum Inc.

1:30-2:30 Minimizing Legal Liabilities Due To Nonquality Information
    Alan Wernick, Esquire, Partner, Chuhak & Tecson, P.C.

2:45-3:45 Six Sigma Technical Documentation
    John M. Smart, Managing Partner, Smart Communications, Inc.

4:00-5:00 No Session

Presentation Descriptions

Organizing the European or the World soccer championship is an honor, but a challenge for information quality. Issues in ticketing:

• Identifying multiple ticket purchases to prevent fraud
• Black list matching
• Country-specific internet templates
• Data architecture for international names and addresses

You learn the challenges and successful information quality management leading to process efficiency, improvement and risk reduction in large event management:

• Name / address quality and duplicate matching
• IQ in Web content and e-business (B2C) design
• Data model quality, CRM and IQ
• Data Enhancement and IQ

Knowledge workers are frustrated with non-quality search results. Many problems are caused by poor data quality in search indices. Specific metrics to detect problems and measure improvement:

Index Creation Data Quality:

• Coverage: Does the search engine index all data?
• Processes, logs, errors, etc.: Do you monitor the indexing process?
• Document Meta Data: Are all important document attributes accurately captured?

Search-time Quality:

• Relevancy: Are returned results relevant?
• Vocabulary: Is there a vocabulary disconnect with information consumers?
• Performance: Are the results provided in a reasonable timeframe?

This talk first describes the architecture of a modern record matching system by examining the ChoiceMaker 2 record matching. Key subjects covered include:

• How to do high speed matching without sacrificing accuracy
• Using machine learning technology and special-purpose programming languages to achieve high accuracy and flexibility
• Testing a system to verify its accuracy
• Integrating a record matching system into a larger system architecture
• Case studies involving the matching of person and non-person data

This presentation describes how to put accountability back with business professionals, provide closed loop processing, encourage total information quality improvement, and separate defective data from that deemed accurate. We discuss "Single Version of the Truth" versus "Single statement of fact." The best-practices for error handling and methods for making enterprise integration efforts compliant with Sarbanes-Oxley and Basil II are working in organizations around the world.

• Accountability for and compliance of business data
• How and why to build "Error Marts"
• How full-cycle quality brings into focus the "Single Statement of Fact"

This presentation addresses legal issues and liabilities arising out of non-quality information, including:

• Negligence liability for defective or missing information
  • Liability for information quality failures
  • Legal risks in information management: quantifying the costs
  • Tips to minimize liability for information quality failures
• Liabilities from non-quality information in legal compliance
  • Non-quality information in compliance reporting
  • Correlating legal liability with non-quality information in compliance or regulatory environments
• Best practices to minimize legal liabilities for information quality

This presentation demonstrates the application of Six Sigma quality metrics to mission-critical technical documentation. In this age of globalization, written work travels globally via web and satellite communications. This presentation shows a simple technique, Controlled English, to mistake-proofing electronic technical manuals. This presentation shows how a penny a word can save millions of dollars by avoiding costly errors made by writers.

• Six Sigma applied to Technical Documentation
• Globalization of technical documentation - new lingua franca
• Avoiding costly miscommunication errors in China
• The Art and Science of Controlled English