CONFERENCE - DAY 2
WEDNESDAY
31 October, 2001
08:15–08:45 Perspective Session Track 1 - Innovative Systems: Achieving real Payback through Data Quality Initiatives: Abbey National Case Study. Jean Knight, Mngr of Information Development Analysis, Abbey National Plc, Mike Healy, EVP European Operations, Innovative Systems Inc
08:15–08:45 Perspective Session Track 2 - Datanomic: Data Quality Audit and Cleaning Straight From the Box, Dr Richard Marsh, Chief Executive Officer, Datanomic
09:00–10:00 KEYNOTE Data Quality Is Not The Goal - The Goal is Wisdom: Lessons (That Should Be) Learned from IT Failures
Larry P. English, President and Principal, Information Impact International, Inc.
10:00–10:15   Break

10:15–11:15

META DATA

SUCCESS STORY: META DATA USE IN THE CONTEXT OF THE EUROPEAN COURT OF HUMAN RIGHTS CMIS (Court Management Information System)
John Hunter, Registry of the European Court of Human Rights

10:15–11:15

Information Quality

A PRACTICAL GUIDE TO RUNNING AN INFORMATION QUALITY PROJECT
Stephen Roberts, Business Information Manager, WorldCom International
Sue Lloyd, Information Quality Manager, WorldCom International

10:15–11:15 DAMA
Track 1

BUILDING A RULE DRIVEN APPLICATION – EFFECTIVE ORCHESTRATION OF RULES ENGINE, WORK FLOWS AND DATA ARCHITECTURE
Ho-Chun Ho, Director of Technology, Nekema.com

10:15–11:15

DAMA
Track 2

CHANGING THE CULTURE OF THE IT/IS FUNCTION
Arvind Shah, Managing Principal, Performance Development Corporation

11:20–12:20 META DATA SUCCESS STORY: MAKING META DATA A TOP CORPORATE PRIORITY
Patricia Graham, Systems Director Data Assets, Prudential
11:20–12:20 Information Quality

IMPLEMENTING QUALITY IN THE CALL CENTRE, WHICH STANDARD IS RIGHT FOR YOU?
Peter de Gosztonyi, Senior Consultant, Zanka Consulting

11:20–12:20 DAMA
Track 1

XML: ITS IMPACT ON DATA MANAGEMENT, ADMINISTRATION AND ARCHITECTURE
Peter Aiken, Founding Director, Institute for Data Research

11:20–12:20 DAMA
Track 2

UNDERPINNING BUSINESS RULES AND THE DATA MODEL WITH A CONCEPTS CATALOG
Donald Chapin, Consultant, Business Semantics Ltd

12:20– 13:20   Lunch
13:20–14:20 KEYNOTE The Future of Data Resource Management
Michael Brackett, President, DAMA International

14:25–15:25

META DATA

META DATA STRATEGIES FOR THE NEW MILLENNIUM
Derek Shaw, Technology Strategist, Computer Associates

14:25–15:25

Information Quality

METRICS, A KEY SUCCESS FACTOR FOR IQ
Don Carlson, Data Infrastructure and Configuration Management Program Manager, Motorola

14:25–15:25

DAMA
Track 1

ADVANCED DATA MODELLING PATTERNS
Dave Hay, President, Essential Strategies

14:25–15:25 DAMA
Track 2

MANAGING REFERENCE DATA AT THE ENTERPRISE LEVEL
Malcolm Chisholm, Manager, Deloitte & Touche

15:25–15:40   Break

15:40–16:40

META DATA

A SUCCESS STORY – GLOBAL CUSTOMER DATA ARCHITECTURE, META DATA DEFINITION AND IMPLEMENTATION
Barbara Peterson, Data Standard Manager, Agilent Technologies

15:40–16:40 Information Quality

CULTURE CHANGE FOR CUSTOMER RELATIONSHIP MANAGEMENT
Jane Hooper, Company Director, Step Change Training

15:40–16:40 DAMA
Track 1

ONLINE MULTILINGUAL META & KNOWLEDGE MANAGEMENT
Stephan Stadelmann, Strategy Manager, Reuters Asia Pte Ltd

15:40–16:40 DAMA
Track 2

CERTIFICATIONS AND DESIGNATIONS FOR DATA MANAGEMENT PROFESSIONALS
Karen Lopez, Principal Consultant, Infoadvisors

16:40–17:10 META DATA META DATA Q & A SESSION PLUS CONFERENCE CHAIR WRAP UP
16:40–17:10 Information Quality INFORMATION QUALITY Q & A SESSION PLUS CONFERENCE CHAIR WRAP UP
16:40–17:10 DAMA
Track 1 &
Track 2
DAMA Q & A SESSION PLUS CONFERENCE CHAIR WRAP UP

Wednesday
31 October
10:15–11:15

META DATA

SUCCESS STORY: META DATA USE IN THE CONTEXT OF THE EUROPEAN COURT OF HUMAN RIGHTS CMIS (Court Management Information System)


John Hunter

John Hunter
Registry of the European Court of Human Rights

The European Court of Human Rights has a jurisdiction of 41 member states. Its CMI system manages the work processes of the court as well as providing analyses, triggers for action and knowledge management. Future plans include data mining of statistical data; web based access; and the use of digital signatures, agents and portals. The system is based on the HUDOC knowledge server and Powerdocs – a document management system. In his presentation, John will describe the system and show how meta data both plays a vital role within the system, as well as itself being managed and indexed using the knowledge server.

Wednesday
31 October
10:15–11:15

Information
Quality

A PRACTICAL GUIDE TO RUNNING AN INFORMATION QUALITY PROJECT
Stephen Roberts

Stephen Roberts
Business Information Manager
WorldCom International

Sue Lloyd Sue Lloyd
Information Quality Manager
WorldCom International

This presentation tells the story of a large-scale information quality project that is well underway. Stephen and Suzanne will chronicle the first steps undertaken and the painful, yet successful pilot projects, some of the key lessons learned, and where we are now.

Practical advice includes:

  • Getting an Information Quality Project off the ground, including finding funding and pitfalls to avoid
  • Keeping the momentum going once you've started
  • Tools and Techniques we've used and what we've learned about them

Wednesday
31 October
10:15–11:15

DAMA
Track 1

BUILDING A RULE DRIVEN APPLICATION – EFFECTIVE ORCHESTRATION OF RULES ENGINE, WORK FLOWS AND DATA ARCHITECTURE
Ho-Chun Ho

Ho-Chun Ho
Director of Technology
Nekema.com

Based on real-life implementation experience of Nekema Personal Line, Ho-Chun will review the integral ingredients of a rules engine and the implementation strategy of a rule-driven application. The audience will learn:

  • The significant differences between conventional data models and architectures and rule-driven data architectures
  • The differences between parameter or data driven applications and rules-engine based applications
  • The benefits and comparisons of building or buying a rules engine
  • Criteria of using various approaches to build a solid e-commerce application
  • Real-life implementation of a rule-driven application

Wednesday
31 October
10:15–11:15

DAMA
Track 2

Back to top

CHANGING THE CULTURE OF THE IT/IS FUNCTION
Arvind Shah

Arvind Shah
Managing Principal
Performance Development Corporation


IT departments are facing a myriad of new challenges and opportunities. IT professionals need to view themselves, as business partners not just service providers. Today even internal customers demand better quality of products and service from IT groups. These goals may require the reengineering of the mission and goals and IT must change its mindset and thinking model in order to improve the behaviour of the employees and project teams. This session describes clear, pragmatic, and reasonable techniques to achieve these goals. This topic will cover the concepts of managing the change within the IT organisation and will illustrate how to lead the enterprise in a desired direction by proactively guiding changes in people, processes and technology. Attendees will learn:
  • The shock waves shaking the IT/IS function
  • Defining IT/IS market and customer segments
  • Defining products and services to be offered
  • Planning for customer relations management
  • Developing and implementing metrics
  • Problem solving through root cause analysis
  • Creating a learning environment through shared learning

Wednesday
31 October
11:20–12:20

META DATA

SUCCESS STORY: MAKING META DATA A TOP CORPORATE PRIORITY
Patricia Graham

Patricia Graham
Systems Director Data Assets
Prudential

Hundreds of companies have made investments in meta data repositories, yet it can be the first area to be cut when executives have to cut budgets. In this presentation, Patricia shows how the 3 Data Management staff of a major international insurance company was able to turn a rarely used repository that lacked core functionality, into a thriving meta data management practise. In the presentation Patricia will cover:

  • Steps in implementing a successful meta data management programme
  • How to establish meta data as an indispensable asset
  • How to set priorities on a limited budget

Wednesday
31 October
11:20–12:20

Information
Quality

IMPLEMENTING QUALITY IN THE CALL CENTRE, WHICH STANDARD IS RIGHT FOR YOU?
Peter de Gosztonyi

Peter de Gosztonyi
Senior Consultant
Zanka Consulting

Sustaining quality in the call centre environment is a formidable task, requiring a balance between technology, process, people and customers to produce an efficient, cost effective and customer-focused operation. An obvious solution is to implement a Standard such as ISO-9000; but how effective is applying a "generic" type quality approach in such a focused environment and are there better approaches? This presentation addresses these issues using practical examples and demonstrated benefits of implementing a call centre specific Quality Standard.

Wednesday
31 October
11:20–12:20

DAMA
Track 1

XML: ITS IMPACT ON DATA MANAGEMENT, ADMINISTRATION AND ARCHITECTURE
Peter Aiken

Peter Aiken
Founding Director
Institute for Data Research

As data administrators move to embrace XML, there are a number of lessons to be learned from early experiences with the technologies. These point to a series of strategic implications for data administrators/architects including: (1) An expanded definition of data management to include unstructured organisational data (2) Expanded data management roles in applications development using portal technologies (3) Preparation of organisational data (including data quality) for e-business. Combined these implications point to a more complex role for data managers. Understand-ing these strategic implications will better prepare organisations for the next decade. Attendees will learn:

  • The role that XML will play in future data management
  • The requirements and promise for management of unstructured data
  • The implications for organisational CASE tool usage
  • Lessons learned from early XML adopters

Wednesday
31 October
11:20–12:20

DAMA
Track 2

Back to top

UNDERPINNING BUSINESS RULES AND THE DATA MODEL WITH A CONCEPTS CATALOG
Donald Chapin

Donald Chapin
Consultant
Business Semantics Ltd

The degree to which business staff share the same clear understanding of the concepts they work with, and use terminology consistently when referring to those concepts determines the quality of their thinking, decision-making, communication, collaboration and knowledge sharing. A Concepts Catalog documents shared concepts and terminology, and shows the concepts in their wider context as they are related to other concepts. It provides an integrated semantic view of the business as understood by the business staff. Using the Concepts Catalog to underpin Business Rule statements and Data Models roots both in the language of the business and bridges them to the perspective of systems designers without loosing the business perspective. What an attendee will learn:

  • What a Business Concepts Catalog is and what it contains
  • How to create a Concepts Catalog
  • How to make Business Rules definitive using a Concepts Catalog
  • How to generate a Data Model from the Concepts Catalog
  • Lessons learned using a Concepts Catalog

Wednesday
31 October
14:25–15:25

META DATA

META DATA STRATEGIES FOR THE NEW MILLENNIUM
Derek Shaw

Derek Shaw
Technology Strategist
Computer Associates

Derek's presentation will cover a strategic overview of enterprise meta data management strategies. Drawing from his own practical experience, he will cover both successful implementations and 'meta data disasters' by using case studies to show what has worked and why, as well as the most common reasons for meta data project failures. In addition, he will outline the strengths and weaknesses of the technologies which can be used to support the strategies:

  • Centralised repositories and Distributed repositories
  • Directories
  • Reusable libraries of meta data 'aware' software components
  • Enterprise information portals with meta data channel support Standards such as XML and the Meta Data Coalition's OIM

Wednesday
31 October
14:25–15:25

Information
Quality

METRICS, A KEY SUCCESS FACTOR FOR IQ
Don Carlson

Don Carlson
Data Infrastructure and Configuration Management Program Manager
Motorola

When improving Information Quality, we need to climb many "data mountains"; that is, cleanup many data sets and implement processes to keep the data clean. Our ability to do this is enabled by creating and maintaining metrics to measure our progress during cleanup, data process capability, and most importantly on-going data quality. This presentation will describe metrics needed for information quality initiatives and show how we have created and deployed such metrics at Motorola. Metrics are a key success factor towards a high IQ!

  • Guidelines for establishing metrics for information quality
  • Guidelines for measuring information quality
  • Guidelines for using metrics for cleanup and process improvement to keep data clean

Wednesday
31 October
14:25–15:25

DAMA
Track 1

ADVANCED DATA MODELLING PATTERNS
Dave Hay

Dave Hay
President
Essential Strategies

The book Data Model Patterns: Conventions of Thought describes a set of standard data models that can be applied to standard business situations. These patterns, it turns out, occur on several levels. At the basic level are models of the things seen in business. The patterns in the book are a bit more abstract than conventionally seen, but they do describe things that are easily recognisable to anyone: people and organisations, products, contracts, and so forth. There is a more abstract level of modelling, however, which is necessary when the things being modelled don't fall into these tidy categories. This level is the subject of this presentation. The presentation will describe techniques for dealing with variable attribute entities, and show how the technique can be extended to describe the laboratory and clinical research. It will discuss the implications of this approach on mapping to legacy systems, and how it actually is a model of relational theory itself.

Wednesday
31 October
14:25–15:25

DAMA
Track 2

Back to top

MANAGING REFERENCE DATA AT THE ENTERPRISE LEVEL
Malcolm Chisholm

Malcolm Chisholm
Manager
Deloitte & Touche

Reference data is important because it is found in all databases. It is widely agreed it must be free from data quality defects, but it is rarely treated as a class of data in its own right. This presentation discusses the diverse nature of reference data, and what unites it. The need for management at the enterprise level is covered, with a series of practical steps on how to do this. Reference data is also the part of the corporate data resource that is most important in designing multilingual applications. A description of the steps required to implement multilingual reference data is given based on the presenter's own experiences at the United Nations. Attendees will learn:

  • What reference data is and how to recognise it
  • The basic requirements for managing reference data
  • How to mitigate data quality problems arising from poorly managed reference data
  • How to design and implement multilingual reference data

Wednesday
31 October
15:40–16:40

META DATA

A SUCCESS STORY – GLOBAL CUSTOMER DATA ARCHITECTURE, META DATA DEFINITION AND IMPLEMENTATION


Barbara Peterson

Barbara Peterson
Data Standard Manager
Agilent Technologies

One of the challenges facing many Data Management staff is how to centrally develop customer data standards that support multi-geographic business needs. In her presentation, Barbara will describe her hands-on experience of defining and implementing the Global Data Model required for functions such as sales and marketing, technical support, e-commerce, CRM and ERP. Topics she will cover include:

  • The special challenges of global data management
  • How to get global sponsorship
  • Steps required to define a global enterprise data architecture
  • The role of the enterprise data standards council, the use of the web as a communication tool and the job description of a Data standard council member and Data standard program manager
  • When to use industry standards and when to use internally defined standards

Wednesday
31 October
15:40–16:40

Information
Quality

CULTURE CHANGE FOR CUSTOMER RELATIONSHIP MANAGEMENT
Jane Hooper

Jane Hooper
Company Director
Step Change Training

Implementing CRM and Information quality is not about implementing software. It is about implementing a cultural transformation in how the enterprise thinks and acts. Step Change Training have been involved from the start in developing and implementing the learning programme to support the launch of AIT's new CRM product, Portrait.

  • The three stages in full circle CRM, 'engage', 'explore' and 'evolve'
  • Quality of information allows you to know more about your customers, how does this impact on loyalty and sales?
  • The learning and change needed by contact centres and their agents to make CRM really work - observations and lessons learnt

Wednesday
31 October
15:40–16:40

DAMA
Track 1

ONLINE MULTILINGUAL META & KNOWLEDGE MANAGEMENT
Stephan Stadelmann

Stephan Stadelmann
Strategy Manager
Reuters Asia Pte Ltd

In a multi-lingual environment like Asia, where views and understanding are different from country to country, it is especially challenging to serve the requirements of our customers, with only a handful of Data Designers and Implementers. It is an absolute priority to integrate and relate design, metadata and database into one cohesive environment to overcome resource and time constraints.

The presentation will cover how data models, dictionaries, 3D mapping, Document, Knowledge and Change Management were interrelated and finally integrated into an interactive Knowledge Portal. What attendees will learn:

  • Integration of Model, Metadata, Document, Knowledge and Change Management is possible
  • How to manage design, documentation, implementation and maintenance effectively
  • Practical considerations and compromises made

Wednesday
31 October
15:40–16:40

DAMA
Track 2

Back to top

CERTIFICATIONS AND DESIGNATIONS FOR DATA MANAGEMENT PROFESSIONALS
Karen Lopez

Karen Lopez
Principal Consultant
Infoadvisors

An interactive overview of the role of professional and vendor certifications in the practice of data management. This presentation

Entity Relationship Modelling and Unified Modelling Language are two Techniques used by data analysts and developers for data and object modelling. Our panel of experts will begin by giving a brief overview of each technique and then discuss the benefits as well as the limitations of both techniques. A question and answer period will follow.

 

 

Wednesday
31 October
16:40–17:10

META DATA

META DATA Q & A SESSION PLUS CONFERENCE CHAIR WRAP UP


Wednesday
31 October
16:40–17:10

Information
Quality

INFORMATION QUALITY Q & A SESSION PLUS CONFERENCE CHAIR WRAP UP

Wednesday
31 October
16:40–17:10

DAMA
Track 1 &

Track 2

DAMA Q & A SESSION PLUS CONFERENCE CHAIR WRAP UP