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8:00 - 9:00 Registration
11:15 - 11:45 Break 12:45 - 2:00 Lunch 3:00 -
3:15 Break |
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9:00 -
10:10 |
Keynote:
The Keys to Cultivating
Enterprise-Wide Change
Lori Silverman,
Owner, Partners For Progress |
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TRACK
1:
BEST PRACTICES
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TRACK
2:
DATA WAREHOUSE, CRM, eCOMMERCE
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10:15 -
11:15 |
From
Quality Control to Quality Assurance and Beyond |
Interactive
Customer Evaluation: A Tool for Data Cleanup |
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Steven
Sparkes, Manager, Business Performance Group, Reuters Limited
Simon Bradley-Goad,
Metrics Manager, Business Performance Group, Reuters Limited
Jane Young,
Process Review Manager, Business Performance Group, Reuters
Limited Over the past three years, the Data Quality
teams in Reuters Information division have moved from a Quality
Control function to Quality Assurance. Reuters apply TQM principles
to information and are now moving into the area of Business Process
Management in the data production environment. The speaker(s) describe:
- Quality
techniques employed in Reuters to assure data quality
- Reconciling
global and local requirements
- Evolution
of these techniques over time: maturing the data quality processes
- General
problems encountered in the evolution from QC to QA and how to
address them
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Dr.
George Chynoweth, Chief, Customer Sensing Lab, US Army
ICE is a state of the art customer sensing and
feedback system designed to gather and process customer and employee
data for the purpose of improving BASOPS Service Delivery and Quality
of Life. ICE is internet-based, database-driven, and operates in
real time. It consists of the following "modules":
- Customer
Comment Card & Customer Feedback
- Various
levels of customer data management reports with "drill-down"
capability
- eSuggestion
Box
- Action Logs
- Surveys
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11:45 -
12:45 |
Information
Quality Process Improvement Through Online PDCA |
Customer
IQ and CRM: Two Sides of the Same Medal |
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Jim
Harlan, Information Technology Engineer, Agilent Technologies
Corrective actions and process improvements are
more effective when the Plan-Do-Check-Act method is applied. By
giving people tools for critical thinking you empower everyone in
your organisation to contribute to it's success. A simple web-based
form can be used to capture an issue, take ownership, analyse root
cause, develop and test an action plan, implement your results,
and follow-up. Reports can be generated to list concerns for your
area, search for similar concerns, and track overdue concerns.
- Why use
a web-based problem-solving tool?
- Components
of an Online PDCA system:
- Menus
- Security
- Forms
- Searching
- Reports
- Workflow
- How to implement
an online problem solving solution for your organisation
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Roy
Rolander, Information Quality Manager, Telenor Mobil AS
Definition of CRM and Telenor's focus, i.e. development
of systems and processes that improve and enhance cross-channel
customer treatment.
Outline of
Telenor's main initiatives for improving Customer IQ:
- Developing
Single Customer View
- Cross-channel
solution for Customer History
- Developing
a new business function in the Marketing Department - Customer
Data Management
Explanation
of a pure organisational framework for the IQ function and tips/lessons
learned:
- Rigorous
focus on collection of data (technically and organisationally).
Customer IQ now is a part Product Development Methodology
- Establishing
perception among top management that our business is highly data
reliant
- Developing
consistency between business processes and ownership of data
- Developing
long term professionalism for Customer IQ
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2:00 -
3:00 |
Statistical
Quality Control in Data Model Quality |
Quality
XML Applications |
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Dr.
Irad Ben-Gal, Assistant Professor, Tel-Aviv University
An Advanced Topic Presentation
In this presentation, Dr. Ben-Gal describes a model
for Statistical Quality Control of databases. The model is based on
multi dimensions contingency tables. A contingency table is essentially
a data sample from a multi-valued population with various probabilities
and partitions of categories subject to unknown restrictions. A statistical
analysis is performed to construct a data model quality and measure
the effectiveness of IQ functions. |
Clive
Finkelstein, Managing Director, Information Engineering
Services Pty Ltd
Extensible Markup Language (XML) is a standard
that is used to integrate structured data in relational databases
and legacy files with unstructured data in documents, reports, graphics,
images, email, audio and video files. XML permits Systems Reengineering
of legacy systems and databases, and Business Reengineering of XML
applications. Modelling tools are now evolving to generate XML databases
automatically from quality metadata that is extracted from existing
databases and legacy files. XML tools are emerging for rapid development
and deployment of quality XML applications.
- Introduction
to XML for integration of structured and unstructured data resources
- Using XML
to improve both data definition quality and data content quality
- Automatic
generation of XML DTDs and DCDs with high data definition quality
- Development
of validated XML applications with high data content quality
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IQ
Tools & Techniques Session:
8:15 - 8:45 · Establishing
a Data Quality Management Process
Neil Hutton, Product Manager, Informix Software |
3:15 -
4:15 |
Plenary Panel:Implementing
IQ Initiatives: How to's |
4:15 -
4:30 |
Conference
Wrap-Up |