09:00–09:30

Joint Chair Introduction
Michael Brackett, President, DAMA International
Larry P. English, President, INFORMATION IMPACT International Inc.
Rosemary Rock-Evans, Consultant, RRE Associates

11:00–12:00

Meta Data in the British Geological Survey
Peter Robson, Database Administrator, British Geological Survey

11:00–12:00

Information Quality

Translators Needed, Fluent In "IT-Speak" And "Business-Speak"
Alan Snow, Senior Business Intelligence Consultant, Ordina Public Business Solutions bv

Enterprise Data Integration - Development of an Enterprise Data Model at Delta Air Lines
Noreen Kendle, Enterprise Architect, Delta Air Lines

DAMA
Track 2

Top 10 Critical Challenges for BI Success
Shaku Atre, President, Atre Group, Inc

13:30–14:30

META DATA

Managing Your XML Assets
Patricia Graham, Systems Director, Prudential Financial Services

13:30–14:30

Information Quality

13:30–14:30

DAMA
Track 1

Process and Data Integration in a U.K. Criminal Justice System
Brett Hannam, Director of IT, Northern Ireland Office, UK Government
Alec Sharp, Data Management and Process Improvement Consultant, Clariteq Systems Consulting Ltd.

Universal Data Model Panel
Len Silverston, David Hay, Graham Witt, Michael Brackett, David Evans

Deriving Business Value from Enterprise Metadata Management
Art D'Silva, Manager - Enterprise Information Functions & Strategies, Royal Bank of Canada

Data Quality, Business Processes…and SAP
Tom Fish, Data Quality Process Manager, Air Products and Chemicals

Effective Data Integration in Large-Scale Package Implementations
Nick Rozanski, Technical Architect, The French Thornton Partnership

A Framework for Business Process Architecture
Brett Champlin, Business Process Consultant, AllState Insurance Company

16:05–17:05

Improving Metadata’s Value Through Semantics
Zvi Schreiber, CEO & Founder, Unicorn

Successful Information Quality Improvement in a Global Finance Services Company
Ken Sloan, Founder, Synergeist

Towards the 'Integration Factory': An Architecture Management Methodology that Reduces Integration Costs
Prof. Dr. Robert Winter, Director and Chair of Information Management, Institute of Information Management, University of St. Gallen

Modelling Business Rules
David Hay, President, Essential Strategies

Tuesday
28 October
9:00–9:30

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Tuesday
28 October
09:30–10:30

Meta Data Keynote:
DATABASE GRAFFITTI: SCRIBBLES FROM THE ASKEW WALL

Chris Date To Speaker's Bio

This presentation is based in part on one of Chris Date's regular columns for Database Programming & Design (the tenth anniversary issue), but includes much additional material. It consists of a series of quotations, aphorisms, and anecdotes - seasoned with a fair degree of personal commentary - that are directly or indirectly relevant to the general subject of database management. The presentation is not technically deep, but several serious messages do lie not too far below the surface. The aim is partly to edify, partly just to amuse.

• The prehistoric era
• Objects and objections
• Normalisation, networks and nulls
• The role of simplicity
• The joy of self-reference
• Relational misconceptions
• Some good quotes
• Books and book reviews
• Miscellany

Tuesday
28 October
11:00–12:00

META DATA

Peter Robson Database Administrator British Geological Survey

The British Geological Survey (BGS) collects and manages geological data for the UK. It has been systematically collecting data since 1835: any component of this data could be of vital importance. A Data Architecture is thus an essential precursor to making maximum use of this invaluable resource. In this session, Peter will describe the BGS data architecture, how it is implemented using a relational DBMS and the reporting mechanisms used. Topics covered will include:

• The work of the British Geological Survey
• The background to the diverse data within the British Geological Survey
• The massive data management problem which had to be solved
• The adoption of a Data Architecture as the solution – the approach, the stages and the tools used
• The benefits of the solution

Tuesday
28 October
11:00–12:00

Information
Quality

Alan Snow Senior Business Intelligence Consultant Ordina Public Business Solutions bv

Drawing on practical experiences of conducting many DQ audits and DQ improvement projects, in organisations large and small, this author will demonstrate that successful DQ management is more of a business issue than a technical issue and the key to success is aligning the IT departments technical actions to improve/maintain DQ with the business perceptions, interpretations and understanding of what the information represents.

• Key steps to successful DQ management
• Bridging the gap between "business" and "IT" departments
• Ownership? Stewardship? Brinkmanship?

Tuesday
28 October
11:00–12:00

DAMA
Track 1

Noreen Kendle Enterprise Architect Delta Air Lines

This presentation is focused on the "How" to develop an Enterprise Data Model using real world examples. It describes the approach developed and used at Delta Air Lines for the creation of an Enterprise Data Model. Presently, the model has over 700 integrated entities and encompasses 5 of the major business subject areas and is being used to create the Operational or Enterprise Data Stores, integrating operational data across the airline business. This presentation describes a 7 step practical methodology for developing an Enterprise Data Model that incorporates a "Top Down" and "Bottom Up" approach. It incorporates an enterprise view needed for integration to support an ODS and/or Data Warehouse, as well as the current state (work already accomplished – existing models) for practicality and quicker development.

Tuesday
28 October
11:00–12:00

DAMA
Track 2

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Shaku Atre President Atre Group, Inc

Business success is realized through rapid and easy access to actionable information through timely and accurate insight into business conditions and customers, finances and markets, collectively known as Business Intelligence (BI). BI really means "Greater Profitability" and "Greater Profitability" is achieved through the following:

• Make better decisions with greater speed and confidence
• Streamline operations
• Shorten product development cycles
• Maximize value from existing product lines and anticipate new opportunities.
• Better, focused marketing and improved relationships with customers and suppliers

Although it should be remembered that "Success is never an accident". BI projects are quite complex. If an organization has not nurtured cross-organizational culture, it is very difficult to implement a successful BI project. This presentation will focus on the 10 critical challenges for business intelligence success.

Tuesday
28 October
11:00–12:00

DAMA
Track 3

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Gabriel Fuchs Senior Manager La Suisse Insurance Company

This presentation will focus on the lessons learned when successfully implementing an innovative analytical application for our 25 sales branches covering three linguistic regions in Switzerland. Considering that the users' computer competence ranges from expert users to next to non-users, the change management aspects have been vital. Also, this solution has been completely run by the business side, as opposed to a more IT driven approach. The main points presented will be:

• The business case for a new innovative analytical application.
• The reaction from IT and the business users at our sales branches.
• Key factors to convince our business users to use the new solution.
• Our discussions and disagreements about the ROI.
• Pitfalls to avoid.

Tuesday
28 October
13:30-14:30

META DATA

Patricia Graham Systems Director Prudential Financial Services

Prudential Financial has had a successful meta data management program in place for several years, but the company invested a lot of energy in catching up after data was already in place. Regulating standards after the fact was found to be an uphill job and the team have now been faced with a new challenge: to manage the XML data assets before they become unmanageable. In this session, Patricia will describe how Prudential is managing its information integration efforts and the factors that went into putting together an XML management program, even with reduced staff. Topics covered will include:

• Background to Prudential and its data management organisation
• Why Prudential chose to adhere to an industry standard
• How the XML assets were identified
• How an XML management strategy was developed
• What standards were needed in addition to the industry standard
• How Prudential has participated in the further development of the standard

Tuesday
28 October
13:30-14:30

Information
Quality

Vicki Peacock Head of Information Strategy Abbey National plc

The objective of the presentation is to share the approach Abbey National has taken to implementing and maintaining an information quality management approach in a depolarised world. Areas to be covered include:

• Defining an information strategy to support the range of possible partnership arrangements
• Managing and maintaining a master customer record
• Controlling information development costs in the partnership environment
• Critical success factors to achieve information integrity

Other related quality management successes will be covered detailing associated business benefit.

Tuesday
28 October
13:30-14:30

DAMA
Track 1

	Brett Hannam Director of IT Northern Ireland Office, UK Government
	Alec Sharp Data Management and Process Improvement Consultant Clariteq Systems Consulting Ltd.

A little-known requirement of the 1998 Belfast Peace Agreement was that the Northern Ireland criminal justice system radically improve its information-sharing processes. The Criminal Justice Organizations (CJOs) - police, forensics, prosecution, courts, probation, and prisons - exhibit all the problems of disjointed processes, data structures, systems, and computing platforms that arise in functionally-oriented organisations everywhere. The Causeway Programme was initiated to effect the mandated improvements in the sharing of data and information across the CJOs.

Programme management quickly realized that while the objective was ostensibly "data-oriented," a "process-oriented" approach was absolutely essential in order to put data access issues in context. This presentation will describe the approach, methodology, techniques, and tools utilized by the Programme. Highlights include gaining political authority and support, leveraging in- house resources with limited consulting assistance, and why process orientation was vital to achieving data management objectives.

Tuesday
28 October
13:30-14:30

DAMA
Track 2

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	Len Silverston		Michael Brackett
	David C. Hay		David Evans
	Graham Witt

This panel of experts will discuss pre defined data models frequently called data model patterns or universal data models. What are the benefits as well as the issues with using these pre defined templates? Do they really save modelling time and project work effort?

Bring your questions on modelling patterns for our panel of experts. This will be a very interactive sessions with ample time for questions from the delegates.

Tuesday
28 October
13:30-14:30

DAMA
Track 3

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Donald Chapin Business Language & Rules Consultant Business Semantics Ltd

The degree to which business staff share the same clear understanding of the things they deal with and manage, and use terminology consistently when referring to those things determines the quality of their thinking, decision-making, communication, collaboration and knowledge sharing.

A Structured Business Vocabulary documents shared understanding of the things the business deals with and manages, and the terminology used to talk about them. It shows things in their wider context as they are related to other things. It provides an integrated semantic view of the business as understood by the business staff.

Using Structured Business Vocabulary to underpin Business Rule statements, Data Models and Knowledge Portal Taxonomies roots everything in the language of the business and provides a bridge to the perspective of systems designers without losing the business perspective. It further serves as the basis for integrating data in terms of its business meanings, which in turn serves to integrate processes, as data is the glue between processes.

Tuesday
28 October
14:35–15:35

META DATA

Art D'Silva Manager - Enterprise Information Functions & Strategies Royal Bank of Canada

Royal Bank Financial Group, Canada's leading financial services organization has deployed an Enterprise Metadata Repository which provides: a) an inventory of the information assets b) a documentation facility for RBC Financial Group applications c) the capability for impact analysis d) a map for data movement.

Deployed in 1993, the repository is customized as opposed to an off the shelf implementation, used by both business and technical users. Furthermore, it has been significantly extended to meet specific and unique metadata management requirements within RBC.

In this session Art will describe the enterprise metadata repository implementation at RBC Financial Group and will discuss both, how they were able to successfully implement it and how it provides value.
Topics covered will include:

• The importance of enterprise metadata to RBC Financial Group
• The types of metadata captured at RBC Financial Group
• History of the repository at RBC Financial Group
• Why this solution, how it was implemented and its benefits
• Future initiatives
• A demonstration of web access to the repository using the RBC Financial Group web-site

Tuesday
28 October
14:35–15:35

Information
Quality

Tom Fish Data Quality Process Manager Air Products and Chemicals

Can you have Process-orientation and Data Quality at the same time as running an enterprise-wide ERP implementation? Air Products believes you not only can, but must. Learn how they established Data Quality as a core capability of their Process Management Centre of Excellence, including:

• Organizing for Data Quality – Business Data Stewards as Process Owners
• Delivering Data Quality – before and after SAP
• Improving Data Quality – through measurement and feedback

Tuesday
28 October
14:35–15:35

DAMA
Track 1

Nick Rozanski Technical Architect The French Thornton Partnership

A common view of implementing package software in large organisations is that the largest part of the development effort is taken up with configuring and customising the software. Because this is a known and repeatable procedure, risks are low, timescales can be accurately predicted and the probability of a successful outcome is high. In practice, this view could not be further from the truth. Virtually every package implementation programme brings with it two massive data architecture challenges: migration of your existing data and integration of your existing applications. This presentation will help you understand how to develop and validate an end-to-end information architecture model which encompasses your legacy systems, the new package, and the interfaces between them. It will also address a range of package implementation issues such as data quality and acceptance, heterogeneous systems management, resilience and recovery, and performance.

Tuesday
28 October
14:35–15:35

DAMA
Track 2

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Brett Champlin Business Process Consultant AllState Insurance Company

Do you know where your process is? Are you doing business process design? Process improvement? Re-engineering? Are you implementing workflow and task management for operational optimisation? What are your core processes? How can we map our information needs to our business operations? How can we align our technology strategy with our business strategy? Where do we put all of those process models and designs that we create for nearly every project that we take on? Should we buy a workflow package or a task management system? Do any of these questions hit home for you? If they do, you need a process architecture framework to map all of the pieces. A process framework can be used to organize and structure the process concepts and artefacts so that everyone is talking about the same things. But it is more than just a tool for clear communication; it can be the roadmap for strategy and management of your whole process environment. This talk will present an approach to defining all of the parts of your enterprise process management environment in a clearly structured way. The resulting framework can be used to build a repository or knowledgebase to store, organize, navigate, measure and manage your process information assets.

Tuesday
28 October
14:35–15:35

DAMA
Track 3

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Janet Siebert Data Architect Data Pantheon

Data analysis is not a subject normally taught in universities, nor is it a subject of many books or articles. Yet effective data analysis is essential to successful IT implementations, operations, and troubleshooting. Drawing on her background as a professional educator and data analyst, and integrating material from interviews with other high-performing data analysts, Ms. Siebert discusses ways to improve the practice.

By formalizing process and techniques for data analysis, we are able to increase effectiveness, and are better positioned to support rapidly changing environments. Topics discussed will include:

• How do we deliver more effective data analysis through training and mentoring?
• What are the core competencies of successful data analysts?
• What can we learn about improving data analysis by examining educational theory and practice?
  

Tuesday
28 October
16:05–17:05

META DATA

Improving Metadata’s Value Through Semantics

Zvi Schreiber CEO & Founder Unicorn

In order to become a dedicated part of modern IT, metadata's value must be quantifiably proven. This can be best accomplished by capturing data’s real-life business meaning. The value of informal metadata, while potentially huge, is simply not tangible enough to ensure ongoing investment in today’s IT climate and yet extending metadata with data semantics allows metadata to become immediately relevant to the work of both developers and business analysts. This presentation will describe the role of data semantics in the future of metadata, specifically how the pain can be removed from critical development tasks. The talk covers Zvi’s practical experience gained from Global 100 companies where measurable ROI was achieved with semantic metadata.

Tuesday
28 October
16:05–17:05

Information
Quality

Ken Sloan Founder Synergeist

Ken Sloan shares lessons learned in successfully implementing Information Quality for a leading global financial services company over the last 7 years. Multinational financial services firms that have survived the booms and busts, and thrived, over the last 20 years have been those that realized that an important key to survival and success was continuously improving their information quality to support critical business functions, especially risk management. Learn how senior management focus on Information Quality, supported by incremental global culture change and incremental implementation helped a leading global financial services company succeed, and to continue to succeed in turbulent times.

Tuesday
28 October
16:05–17:05

DAMA
Track 1

Prof. Dr. Robert Winter Director and Chair of Information Management Institute of Information Management, University of St. Gallen

After 15 years of data warehousing, it is not clear whether integrated information logistics has reached the final 'plateau of productivity' or whether fundamental new developments should be expected. An important development is that data warehouse infrastructure (systems, but particularly organization) are increasingly used to provide not only data for decision support, but also for operative applications. In addition, data integration is more and more moving beyond the boundaries of a single company, e.g. by supporting inter-company business processes. IT management should aim at reducing integration costs (i.e. application integration costs and application interfacing costs). Many mature management practices that were initially developed for data warehousing (e.g. architecture management, meta data management, project justification, security and access management, organizational design) can also be applied to application integration and inter-company integration. Although physical integration infrastructures seem to remain separated for the foreseeable future, a vision for the common management approach for all integration issues, the 'integration factory' concept, is emerging.

Focusing on architecture management as an important component of IT management, it is shown how data warehousing, application integration and inter-company integration can be jointly handled from a business perspective. A reference architecture model and reference architecture processes are presented on an aggregate level.

The approach is based on actual case studies of several large banks and insurance companies. It has been developed in tight cooperation with Credit Suisse, Sparkasseninformatik, Swisscom, Swiss Re and Winterthur Insurance.

Tuesday
28 October
16:05–17:05

DAMA
Track 2

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David Hay President Essential Strategies

Other than terms, facts, and certain constraints, data models are limited in their ability to portray business rule constraints. Indeed, the more generalized a model becomes, the less it is able to show the business rules that constrain the domain being modelled. Where the topic of the model is itself rules, however (as in regulatory agencies), then the rules themselves can be modelled. In addition to showing the basic limitations of modelling to show constraints, this presentation will describe ways in which rules can be modelled, and will show examples in areas such a issuing permits, passing legislation, and so forth.

Tuesday
28 October
16:05–17:05

DAMA
Track 3

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Keith Gordon Gordon Blain Associates Limited

Network Coherence is concerned with the determination that it is technically feasible for instances of a single application - or instances of different applications - to communicate across a network so as to deliver business benefit. The achievement of Network Coherence requires both correctly routed and error-free transmission of data and the ability to place the received data in context and use it as information. This ability to place the received data in context and use it as information can be called "the Information Delivery component of Network Coherence". This presentation will examine the role of the four elements of the Information Delivery component - data shareability, data schematic compatibility, data syntactic compatibility and data semantic correctness.

DAMA

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Tuesday
28 October
18:45–19:45

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