Information Quality Conference 2005 Houston, TX   September 19-23, 2005 Tutorial Schedule

Monday, September 19: One Day Tutorial 8:30-4:30

Information Quality Principles and Processes 101: Foundation for IQ Management
Jeff Pettit, Information Quality Strategist, Intel Corporation

Data Certification & Information Stewardship: Assuring Information Quality
Andres Perez, Senior IRM Consultant, IRM Consulting Co. Ltd.

Using Corporate Politics to Help Your IQ Program Succeed
Danette McGilvray, President, Granite Falls Consulting, Inc.

IQ 501-2* Conducting Information Process Improvement: Plan-Do-Check-Act Applied to Information Processes (TIQM P5)* (1 1/2 day session)
Larry P. English, President, Information Impact International, Inc.

• Defining information quality: what IQ is and is not
• Information customers and information producers
• The information supply chain
• Metrics for information quality
• Assessing information quality
• Measuring the costs of poor quality information
• Principles and Processes of IQ Improvement

II. Plan-Do-Check-Act (PDCA) and IQ Process Improvement

• Quick wins and systemic improvements for information quality improvement and business effectiveness
• Quality principles for information scrap and rework
• Principles for designing information quality in

III. Principles and Processes of Culture Transformation:

• Creating an Environment for Sustainable Quality Information
• The 14 Points of Information Quality
• How to start an information quality initiative
• Creating and sustaining change for business effectiveness through IQ management

Systems can be "integrated" in various ways. We can use data warehouses to bring data together for business intelligence reasons. We can also leave the data where it is and use integration brokers to couple systems. For both solutions many diverse standards, technologies and products have been introduced, including ETL-tools, information integrators, web services, service oriented architectures, and enterprise service busses. Regardless of the technology used, not managing data quality properly can doom an integration project to failure. In warehouse and integration projects the need for data profiling and data cleaning is evident. This tutorial focuses on the different approaches and technologies for integrating systems, and explains the processes of data profiling and data cleaning in this context. How do these technologies fit in data warehouse and service oriented architectures?

• Overview of the different approaches for integrating systems
• How does data cleaning and data profiling fit in a data warehouse architecture?
• The famous service oriented architecture: hype or real?
• Data profiling in a service oriented architecture
• Merging data warehouse architecture and service oriented architecture: possible or not?

Quality improvement has four parts:

• improvement of product and service
• improvement in processes that produce product and service
• innovation of product and service
• innovation in processes that produce product and service

All are essential for a company to stay in business. Dr. Orsini describes how to achieve each. Dr. Orsini compares and contrasts a systems approach to management with many of the destructive practices found in organizations today. Layoffs, poor workmanship, and low morale are not inevitable. They are a sign of poor management. Through the participative Red Bead exercise, you experience many of the poor management practices that destroy people's ability to do good work and take pride in it. Through this simulation, Dr. Orsini helps participants draw inferences to their workplaces with suggestions for improvement. She focuses on barriers and losses from ranking and rating people and interrelationships between people in an organization. Dr. Orsini discusses Dr. Deming's recommendations for better management in an applied framework with examples from business. She illustrates how knowledge of psychology, statistical variation, systems thinking, and theory of knowledge result in a powerful, integrated management system.

• Profound knowledge for transformation
• Strategies for improvement
• The Red Bead exercise
• Leadership
• Faulty practices; better practices

Organizations are realizing that they must leverage their information asset to achieve higher operational effectiveness as well as strategic positioning within their markets, and to achieve this they must effectively manage information across the extended enterprise. Information Management demands the accountability and participation of business and information technology personnel alike. Furthermore, this participation must transcend the boundaries of applications, project scopes, and departments. However, most organizations are unclear on how best to approach this challenge. Frequently, they are focused on applications, projects and departments and find it very difficult to make this transition. New approaches, methods, tools and techniques are required to accomplish this transition.

This tutorial presents the Data Certification approach and associated tools and techniques for managing information across the enterprise. It describes what Data Certification is and how it helps your organization increase information quality. You will learn how to implement effective information policies, collaboration techniques, standards and guidelines. Also, it provides lessons learned to help you understand how you can implement Data Certification for information quality.

• What is the value proposition of Data Certification
• What are the components of Data Certification
• The role of Information Stewardship in Data Certification
• How to implement Data Certification
• Pitfalls and how to avoid them

Do you dislike the politics in your company? Have you been frustrated by the people aspect of your information quality initiatives? Are you looking for better ways to help others understand the importance of information quality in your company? This tutorial will help you be more effective in working with others to implement and promote your company's IQ goals. Key topics include:

• Overcoming common stereotypes
• Executives, managers, and individual contributors - understanding and leveraging these roles to further IQ
• Why language is important
• Identifying and working with your allies and opponents
• Making human nature work for you, not against you
• Real-life situations and how to handle them

Complement your technical skills by strengthening your people skills. Come prepared to participate and have fun while learning - this is a very interactive session. Leave with solutions tailored to your situation and IQ objectives.

Sometimes conducting IQ assessments can create immediate behavior changes and improvement in information quality. Unfortunately, such improvements will be only temporary without discovering and eliminating the root causes of the IQ problems. In this TIQM Certification course Mr. English describes how to conduct process improvements (TIQM® Process P5) to effect long term and continuous IQ improvement. You learn how to use the Plan-Do-Check-Act improvement cycle, Pareto diagrams, Cause-and-Effect Diagrams and "Why?" Analysis to discover the root causes of nonquality information. You learn how to prevent human error in information processes.

• Plan-Do-Check-Act process improvement cycle
• Categories of IQ problems cause
• 4 categories of IQ process improvement projects
• IQ improvement team make-up
• Pareto diagrams for IQ problem prioritization
• Cause-and-effect diagrams and "Why?" analysis for root cause discovery
• Preventing "human error"
• Categories of process improvements
• Putting improved processes into control

Pre-Requisites:
1. Completion of IQ training OR having read Chapters 1, 2, 3 and 9 in Improving Data Warehouse and Business Information Quality, AND
2. At least 6 months experience applying IQ or Quality principles

*This course is part of the TIQM Certification program provided by Information Impact International.

Timely, accurate data is the lifeblood of any competitive organization. Data profiling can yield consistent, accurate and reliable information to drive healthy customer relationships and boost sales that directly enhances your company's bottom line. However, data profiling is becoming more than just a project phase when loading data into a database. It is a mandatory process that spans all information integration initiatives. Discover how companies are elevating their data integration quality with data profiling.

What you will learn:

• Business drivers mandating the need for data quality
• Fundamentals of data profiling
• How data profiling fits within ETL and metadata management processes
• Measuring the impact of data profiling on data quality
• Justifying and selecting your data profiling tools

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