Europe’s Most Authoritative a £200 discount e up to Data ... · PDF fileSAP - Beyond the Basics Tom Fish,Air Products and Chemicals Customer Data Quality as a ... Acuate Embarcadero

www.irmuk.co.uk/dm2007

Rick van der LansR20/Consultancy

Jason BloombergZapThink

Blanton GodfreyNorth CarolinaState University

Larry P EnglishINFORMATION

IMPACT International

John ZachmanZachman

International

Chris Date John SchleyDAMA

International

Aaron ZornesThe CDI-MDM

Institute

Produced by: Platinum Sponsors:

Gold Sponsors:

Europe’s Most Authoritative

Data Management & Information Quality Conferences

29 October – 1 November 2007, Victoria Park Plaza Hotel, London, UK

● Choose from seven conference tracks (54 sessions), fifteen pre-conference tutorials andfour post-conference tutorials

● Delegates have the option of attending 1, 2, 3 or 4 days of the event ● Case studies include: ▲ British Telecom ▲ M&S Money ▲ Shell ▲ Nestlé ▲ AstraZeneca

▲ Reuters ▲ Transport for London ▲ Belgacom ▲ Orange France Telecom ▲ Novo Nordisk ▲ NetworkRail ▲ Malta Government ▲ BMO Financial Group ▲ Air Products & Chemicals ▲ Aera Energy ▲ PrincipalFinancial Group ▲ Turkcell ▲ Sallie Mae ▲ Wehkamp ▲ Elsevier ▲ Wells Fargo Bank

● All delegates will receive a CD Rom containing all tutorial and conference presentations from the entire event

● Learn from leading practitioners and gain fresh insight and inspiration

Strategic IT Training Ltd www.irmuk.co.uk

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THREE GREAT CONFERENCES IN ONE!

INCLUDING A DW/BI TRACK

2007

Standard Sponsors:Media Sponsors:

Conference Europe 2007Trends & Tactics in Data

Management

M E T AD A T AEuropeConference

2007

Quality Specialist Group

Data Management Specialist Group

Information ImpactInternational Inc.

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Register by

1 August and

receive up to

a £200 discount

9th Annual Conference

19445 IRM DMIQ ConferenceBroch 25/6/07 11:10 am Page 1

Meta Data

09:00-12:40Effective Metadata Management

Malcolm Chisholm,AskGet.com

Meta Data

Beyond the Basics: Managing METADATA in the Real World

Peter Aiken,VCU/Data Blueprint

IQ

Building & Growing a Successful IQ Function

C Lwanga Yonke,Aera Energy

DW/BI

New Advanced Data Modelling Topicsfor the Data Warehouse

Tom Haughey, InfoModel

Meta Data

09:00-17:30CDI-MDM Tutorial

Aaron Zornes,The CDI-MDM Institute

IQ

09:00-12:40 Poor IQ Can Get You Sued

Daragh O Brien, eircom

Meta Data

14:00 - 17:30 The Role of Meta Data with

Template-Driven ETLMike Schmitz, Business Knowledge Professionals

Meta Data IQ IQ

IQ

09:00-17:30The ABC's of Information Quality

Larry English, INFORMATION IMPACT Intl

IQ

14:00-17:30 Data Through Marketing Eyes

Kathy Hunter & Suzanne Freestone,Harte-Hanks

10:30-11:10 Break, 12:40-14:00 Lunch, 15:30-16:00 Break, 17:30-18:30 Drinks Reception

12:50-13:20 Perspective Sessions: 1 Data Quality Drivers 2007, Colin Rickard, DataFlux

13:30-14:30 META DATA KEYNOTE: MILESTONES ON THE MDM ROAD MAP FOR 2008-9,Aaron Zornes,The CDI-MDM Institute

10:35-11:05

International Association for Information and Data Quality (IAIDQ) Meeting08:00-08:45

Joint Conference Chair Introductions: Larry P English, Rick van der Lans, John Schley09:00-09:30

Break and Exhibits10:30-11:00

11:00-12:00

DAMA KEYNOTE: DATABASE GRAFFITI: SCRIBBLES FROM THE ASKEW WALL, Chris Date09:30-10:30

Perspective Sessions: 1 Inline Data Quality Services Accelerate MDM Success, Nathan Birtle, Zoomix13:20-13:50 Perspective Sessions: 1 The Repository for BSM and Service Desk Management, Ian Rowlands,ASG17:40-18:10

Master Data Versus Reference Data Malcolm Chisholm,AskGet.com

A Complete Data ArchitectureDevelopment to Support EAI and BI

Implementation Arthur Haynes, Siemens

Managing Information Flow ThroughManaged Lineage Meta Data David Plotkin,Wells Fargo Bank

Managing Metadata for SOAJason Bloomberg,ZapThink

Implementing InformationManagement with SOA

Art Ligthart, Ordina

Master Data Quality Measurement inSAP - Beyond the Basics

Tom Fish,Air Products and Chemicals

Customer Data Quality as a (Self) Servicein a 24/7 Internet Retail Environment

Almar Hijlkema,Wehkamp & Herman Gores,Human Inference

Simple COQ Model and Typical Barriers

Milan Kucera, Data To Information, s.r.o

Embedding DQM Best Practice intothe IT Project Lifecycle

Dr. Robert Daniels-Dwyer, Network Rail

17:05-18:45 Drinks Reception - Hosted by DAMA UK and Exhibits

17:15-17:45 Perspective Sessions: 1 Mastering Master Data - A Journey of Discovery, Ed Wrazen,Trillium Software

09:00-10:00

14:35-15:35

16:05-17:05

Agenda


Grou

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ContentsAgenda-at-a-Glance 2-3Pre-Conference Tutorials 4-5Conference Sessions 6-10Post Conference Tutorials 11Registration 12

Visit www.irmuk.co.uk/dm2007for the latest conferenceinformation on the following:

● Chair Introductions● Full Tutorial and Conference

Session Outlines● Speaker Biographies● Exhibit Information● Perspective Sessions● SIG Meetings:DAMA

International & IAIDQ

SponsorsPLATINUM:DataFLuxwww.dataflux.comHuman Inferencewww.humaninference.com

GOLD:Trillium Softwarewww.trilliumsoftware.comZoomix www.zoomix.comInformatica www.informatica.comASG www.asg.comTriton Consultingwww.triton.co.uk/warehouse.htmlDatanomicwww.datanomic.com

STANDARDGlobal Address www.globaladdress.netComposite Software www.compositesw.comAB Initiowww.abinitio.comAcuatewww.acuate.comEmbarcaderowww.embarcadero.com

MEDIAInformation Agewww.information-age.comTDAN www.tdan.comDM Review www.dmreview.comBusiness Intelligent Networkwww.B-eye-NETWORK.co.uk

Endorsed byBCS Data Quality SIG BCS Data Management SIGwww.bcs.orgIAIDQ www.iaidq.comMPOwww.metadataprofessional.org

Hosted ByDAMA UK:www.damauk.org

Scorecarding - Data Quality in a Business Context

Paul O'Keeffe, Marks & Spencer Money

Strategies for Data QualityManagement: Survey Findings from

UK Utilities and TransportGordon Brown, AMT-SYBEX

Information Quality within BelgacomPaul Gysemans & Annick Andries, Belgacom

Your Web Data Collection Form -Achieving Higher Data Quality

Graham Rhind, GRC Database Information

Data Quality Framework at Nestlé Dr.Walid el Abed, Nestlé

A Practical Approach & Tool for DataQuality Assessment

Dr. Markus Helfert & Dr.Thoa Pham,Dublin City University

Lunch and Exhibits12:00-13:30

17:55-18:25 Perspective Sessions: 1 Dynamic Warehousing:The Next Generation, Julian Stuhler,Triton Consulting

10:00-10:30

10:30-11:30

11:35-12:35

Break and Exhibits

15:00-15:25

15:25-16:25

16:30-17:30

09:00-16:30

Break and Exhibits

Lunch and Exhibits

IQ KEYNOTE: SO MANY DATA, SO LITTLE TIME: EXPLORING, UNDERSTANDING AND PRESENTING DATA WITH A BIAS FOR ACTION, Dr Blanton Godfrey, North Carolina State University

08:00-08:45 DAMA International Meeting

Break and Exhibits15:35-16:05

12:35-14:00Perspective Sessions: 1 Join the DQ paradox - tHInk local, act global!,Winfried van Holland, Human Inference

DW/BI KEYNOTE: BUILDING DATA-RICH SERVICE-ORIENTED BUSINESS APPLICATIONS IN A HETEROGENEOUS ENVIRONMENT,Jason Bloomberg, ZapThink

13:20-13:50

14:00-15:00

Information into Action: DeliveringValue from Information Governance

and Metadata Management Ron Klein, BMO Financial Group

What Banks Need to Know - Using MetadataManagement for Basel II Compliance

David Plotkin,Wells Fargo Bank

31 October 2007 CONFERENCE DAY 2 AND EXHIBITS

30 October 2007 CONFERENCE DAY 1 AND EXHIBITS

29 October 2007 PRE-CONFERENCE TUTORIALS

Featured Presentation: Seven Deadly Misconceptions about IQ Larry English, INFORMATION IMPACT Intl

Plenary Panel:Ask the Expert Practitioners Paul O’Keeffe, Marks & Spencer Money

Dr. Robert Daniels-Dwyer, Network RailPaul Gysemans, BelgacomAnnick Andries, BelgacomDr.Walid el Abed, Nestlé

Tom Fish,Air Products & Chemicals

1 November 2007 POST-CONFERENCE TUTORIALSGroup BookingDiscounts:

3-4 Delegates 10%5-9 Delegate 20%10+ Delegates 25%

Perspective Sessions: 1 Boosting Business Performance Through Enhanced Data Quality, Steve Tuck, Datanomic


”“”“

DAMA

Skills for the Advanced Data ModelerAlec Sharp, Clariteq Systems Consulting Ltd

Why do we need Data Warehouse Appliances?Rick van der Lans, R20/Consultancy

Who Needs Real-time Data Warehouse?Tom Haughey, InfoModel LLC

Performance Management for Everybody Kasper Damsø, Novo Nordisk & Jørgen Steines,

Platon A/S

5 Techniques for Getting Traction With Data Modelling

Alec Sharp, Clariteq Systems Consulting Ltd.

Asset Data Management for the EastLondon Line Project

Josh Kanyemba,Transport for London

Delivering Decision Ready Information toThe Risk Agile Organisation Steve Benton, British Telecom

Introduction to Geospatial DataArchitecture and GIS Data Management

Michael Scofield, ESRI, Inc

Progressing up the Data ManagementMaturity Curve

David Hammer, Shell

The Changing Nature of Discourse BetweenData Professionals

John Schley, Principal Financial Group

Corporate Data Mashups Dr. Peter Aiken,VCU/Data Blueprint

Deciding What Data to Govern - A Case Study

Michele Koch, Sallie Mae

Structured Business Vocabularies Graham Witt, Ajilon Consulting

Agenda

www.irmuk.co.uk/dm2007 3

DW/BI DAMA DAMA DAMA

DW/BI

09:00-12:40Improving Business Intelligence through SOA

Rick van der Lans, R20/Consultancy

DAMA

09:00-12:40 Data Management In Plain English Keith Gordon, Gordon Blain Associates

DAMA

09:00-12:40All New Data Modelling Challenges

Steve Hoberman, Steve Hoberman & Associates, LLC

DAMA

09:00-12:40 Effective Database Delivery from

Requirements to Data Modelling and BeyondGraham Witt,Ajilon Consulting

DW/BI

14:00-17:30A Business Process and Performance

Management Framework for the Intelligent Business

Mike Ferguson, Intelligent Business Strategies

DAMA

14:00-17:30Introduction to Enterprise Architecture

John Zachman, Zachman International

DAMA

14:00-17:30 The Art (And Science) of Diagramming:

Communicating Effectively Using Diagrams Daniel Moody, University of Twente

DAMA

14:00-17:30 Managing the Data Exchange Relationship

Michael Scofield, ESRI, Inc.

DAMA

09:00-17:30Database in Depth: Relational Theory for

Practitioners Chris Date

The Active Data Warehouse - a Case StudyMike Schmitz, Business Knowledge Professionals

How to Perform Information StewardshipWithin Business Process Redesign

Jim Goetsch, Schneider National

What Makes a Good Data Model? DataModel Quality Criteria

Graham Witt,Ajilon Consulting

Developing Business Rules in aPharmaceutical Research Environment

Liz Calder,AstraZeneca

Semantic Enterprise Information Integrationat Orange France Telecom,A Success Story

Françoise Gesbert, Orange France Telecom& Antoine Proult,ACP Conseil

Establishing Data Modelling as a Service in a Multinational Energy Company

Christopher Bradley, IPL

Enterprise Architecture Straight From the Shoulder

John Zachman, Zachman International

Leveraging Enterprise InformationIntegration (EII) in Data WarehousingMike Ferguson, Intelligent Business Strategies

Practical Data Governance at Reuters Helen Townsend & Toni McDerment, Reuters

Gaining Maximum Value from Data Projects Ron MacDonald, Elsevier

& Luke Thompson, DataFlux

The Inmates Taking Over the Asylum? Web 2.0 and Data Management

Sam Lowe, Capgemini

The Virtual Data Warehouse - Yesterday’sVision is now Today’s RealityRobert Eve, Composite Software

Data:The Antidote to Requirements Babel Suzanne Robertson, Atlantic Systems Guild

We Don't Need a Corporate Model(Oh,Yes,You Do!)

Dagna Gaythorpe, Independent Data Architect

An Information Sharing Platform for the Public Service

Elizabeth Olivieri, Malta Information Technology & Training Services

2 Informatica: Leveraging and Synergising the Power of Data Integration to Support Extensive Business Profitability, Bhavesh Chavda,The Carphone Warehouse

Using Data Services and a Data Warehouseto Enable Real-Time Customer Analytics

Sena Uysal,TurkCell & Sukru Haciyanli, SI Meteksan

Perspective Session 2: To Be Confirmed






A unique opportunity to find out what is happening in the world of Data Management, Quality & Meta DataTom Foy, Data Consultant Modelling, Royal Bank of Scotland

A packed 3 days, full of learning both from the experiences of others, & from questions posed in the sessionsVicky Poulson, Data Architect, Barclays Bank


09:00-12:40

EFFECTIVE METADATAMANAGEMENTMalcolm Chisholm,AskGet.com

A wide range of metadataneeds to be managed toenable enterprises toutilize their informationassets. However, this isvery often done in an ad-

hoc basis that gradually leads to theaccumulation of problems, such asrepository proliferation andinadequate metadata knowledgemanagement. Acknowledgement ofthe importance of metadata, and whyit should be managed, is not the samething as implementing metadatamanagement that actually delivers.This tutorial covers the basic areas,which need to be considered toimplement coherent and effectivemetadata management in anenterprise.

● An understanding of differentmaturity levels of metadatamanagement

● A clear strategy for repositoryfunctionality and structure

● Management of metadataembedded in physical data outsideof repositories

● Metadata governance andorganizational structure

● The utilization of metadata inmetadata engineering

14:00-17:30

THE ROLE OF META DATA WITHTEMPLATE-DRIVEN ETLMike Schmitz, Business KnowledgeProfessionals Inc

Extract, transformation, andload process development(ETL) typically accounts formore than half of the workon a data warehouseproject.Although complex

and challenging a rigorous ETLprocess ensures data quality andcurrency thus ensuring datawarehouse credibility and usefulness.The good news is that using a metadata driven approach along withproven techniques and templates canexponentially lessen the amount ofeffort required and can ensure dataquality, scalability and performance.The robust meta data definitions alsoallow us to automate thedevelopment of a significant portionof the ETL process.

This tutorial will focus on thetemplates and the meta datadefinitions required to support them.A sample meta data repository will bepresented and the templates will bedemonstrated with workingInformatica/Oracle code, but can andhave been adapted for other ETLtools and database platforms.

● The template-driven approach toETL

● The role of meta data in thetemplate-driven approach

● An in-depth look at the meta datarequired and the templates

09:00-17:30

CUSTOMER DATA INTEGRATION& MASTER DATA MANAGEMENTTUTORIALAaron Zornes,The CDI-MDM Institute

Interest in CDI and MDMhas accelerated rapidlyover the last two years.But despite successfulprojects across a broadrange of industries there

are still risks – especially in arelatively young and rapidly churningIT solutions market. Enterprises arerapidly embracing CDI, MDM and datagovernance due to: regulatorycompliance issues such as privacypreference management and Basel II;the need for economic leverage ofmergers & acquisitions; and, theurgency to cross sell/upsell via unifiedcustomer views.

During 2008-09, software solutionssuch as IBM WebSphere CustomerCentre (formerly DWL Customer),Oracle-Siebel Customer Data Huband Universal Customer Manager, andSAP NetWeaver MDM willmonopolize the market share andforce IT management to face difficultquestions regarding which vendor willbe the centre of gravity for masterdata hubs. For the near term, CDI-MDM skill shortages will greatlyinflame project costs as demand fordata stewards, enterprise dataarchitects, and other individuals withstrong affinity for data governance willoutstrip the market for individualswith actual experience.

● What are CDI, MDM and datagovernance? What is drivingbusiness interest in these solutions?

● What are the better architecturesand vendors? How do thesesolutions differ from datawarehouse and customerrelationship management initiatives?

● How will the market andtechnologies evolve? Who will bethe leading vendors?

● How does an IT organization getstarted? How do I optimize myprofessional development toleverage this trend on behalf of mymanagement?

● What are the most successful bestpractices for creating a “singlecustomer view”?

Pre-Conference Tutorials 29 October 2007

Meta Data

IQ

DW/BI


09:00-17:30

THE ABC’S OF INFORMATIONQUALITYLarry English, INFORMATION IMPACTInternational

While the high - andmostly hidden - costs of poor qualityinformation hurts bothcompetitiveness andprofits, IQ problems

cannot be solved withoutunderstanding and applying soundquality management principles toinformation as a product of ourbusiness processes. IQ management isnot an academic exercise - it is acombination of quality principles,

processes and culture transformationrequired for business performanceexcellence in the emerging, realizedInformation Age.World-class organizations apply thesame quality principles, such asDeming’s Fourteen Points, Kaizen,Quality Function Deployment (QFD)and the Baldrige Criteria for BusinessPerformance Excellence toinformation. This presentationaddresses how these principles andtechniques apply directly toinformation as a product andknowledge workers as informationproducers.The fundamental principles of IQ willbe discussed. He describes how anorganization can improve the qualityand value of its informationresources. He describes metrics formeasuring IQ and the managementprinciples for implementing aneffective IQ environment. Mr. Englishdescribes how organizations havesuccessfully implemented IQprocesses to improve theeffectiveness of their business andinformation system processes.

● Assessment: Introduction andProcesses of IQ Appraisal

● Betterment: Applying the ProcessImprovement Cycle to InformationProcesses

● Culture Transformation: Creating aSustainable Environment forQuality Information

09:00-12:40

POOR IQ CAN GET YOU SUEDDaragh O Brien, eircom

This half day tutorial buildson last year’s presentation.It provides an overview ofsome real-world caseswhere poor IQ has lead toliabilities in Common Law

and highlights recent cases where IQprinciples have begun, by accident ordesign, to enter legal precedents.Thepresentation also outlines the overlapin some legal and Informationconcepts and outlines how a clearadoption of sound InformationQuality management principles canhelp avoid/manage liability inCommon Law

● Explores in detail the common law(non statutory) drivers for goodquality information and effectivecontrol

● Discusses the legal reasons why lipservice to controls and a quality ofculture is fatal

● Maps legal principles to IQpractices

14:00-17:30

DATA THROUGH MARKETING EYESKathy Hunter & Suzanne Freestone,Harte-Hanks

This half-day tutorial will provideinsight into data driven marketing.Thedata needs for marketing are quitespecialised and marketing data haschallenges that need to beunderstood in order to achieve thebest results from a company'smarketing budget.

● Creating greater awareness of theimportance of data to marketingdepartments and highlighting whatis different about marketing data

● Exploring some of the issues that

these challenges can create in alarge enterprise-wide solution andInformation Quality problemsspecific to marketing

● Looking at creative ways ofovercoming challenges throughpragmatic solutions and advice onmetrics to quantify return ininvestment.

Attendees would include individualsworking in IT, Marketing, CustomerInformation Management and anyothers who want to know moreabout data driven marketing.

09:00-12:40

IMPROVING BUSINESSINTELLIGENCE THROUGH SOARick van der Lans, R20/Consultancy

For years, the world ofBusiness Intelligence hasbeen talking aboutCorporate PerformanceManagement (CPM),balance scorecards,

Business Activity Monitoring (BAM),and other management instruments.Used correctly and carefully, all theseinstruments can be extremely valuableto an organisation. But where do weget the data? The primary source for adata warehouse is normally our set ofoperational systems. But these systemsdo not always contain the data neededfor implementing the above mentionedmanagement instruments.And herecomes the SOA to the rescue. If SOAis extended with a Business ProcessManagement (BPM) layer, we will getthe right information for themanagement instruments.This tutorialwill explain how the SOA/BPM couplecan improve Business Intelligence.Additionally, integrating a datawarehouse with SOA, will offeradvantages to the latter.

● Why do classic operational systemsdo not have the right informationfor instruments such as BAM?

● Gathering the right businessprocess data using an orchestrationengine

● Using a SOA to make the datawarehouse more realtime

● How to design a SOA/BPMarchitecture to feed BAM and CPM?

● The crucial role of data servicesand data governance

● Will the SOA vendors become thenext generation of BI vendors?

14:00-17:30

A BUSINESS PROCESS ANDPERFORMANCE MANAGEMENTFRAMEWORK FOR THEINTELLIGENT BUSINESSMike Ferguson, Intelligent Business Strategies

This tutorial looks at theemergence ofPerformance Management(PM) from a scorecards,budgeting and planningapplications used by a few

executives and finance departmentsinto a framework of PM tools and PMprocesses that can support enterprisewide execution of business strategy.Through a performance managementframework and through guidedprocesses it becomes possible to

4


Pre-Conference Tutorials 29 October 2007


DAMA09:00-12:40

DATA MANAGEMENT IN PLAINENGLISHKeith Gordon, Gordon Blain Associates Ltd.

Every organisation needs tounderstand and manage itsinformation and data as avaluable corporate asset.Yet, all too often, themanagement of data is the

Cinderella of the organisation andscant attention is paid to this key area.A well considered data managementfunction provides the underpinning toapplication development andinformation provision.Applications canuse data with confidence; users obtainthe information they want in theknowledge that it is based on correctunderlying data; and confidence grows.The aims, objectives and techniques ofdata management are oftenmisunderstood.This tutorial isdesigned to unravel some of themystery surrounding data managementand is aimed at Business Managers, ITManagers, and Project Managers. Thistutorial will cover:

● The importance of data to theenterprise

● How system databases aredeveloped

● What happens without datamanagement?

● Who should own data management● Industry trends and their effect on

data management

14:00-17:30

INTRODUCTION TO ENTERPRISEARCHITECTUREJohn A. Zachman, Zachman International

This tutorial is a briefintroduction to thebackground, rationale andlogic of the Framework forEnterprise Architecture, the"Zachman Framework". Itwill explore some definitive

reasons for the appearance of theZachman Framework on the sceneseveral years ago, likely consistent withthe proposition advanced by ThomasKuehn in "The Theory of ScientificRevolutions" that when the time isright, the invention will happen. TheFramework defines the set ofdescriptive representations that arerequired to create a complex object(like an Enterprise) and serve as thebasis for changing the object instance(the Enterprise) after it is created.

● Basic logic of the Framework● Producing an identified set of

descriptive representations● Enterprise implications of not

producing the Framework models● Enterprise Architecture – The Issue

of the Century

09:00-12:40

ALL NEW DATA MODELLINGCHALLENGESSteve Hoberman, Steve Hoberman &Associates, LLC

Ever ski? Each trail isgraded with a green circlefor easy, a blue square formoderate, or a blackdiamond for difficult.Themodeling challenges you

face in the office can be put intosimilar categories.This tutorial contains a completelynew set of easy, moderate, anddifficult data modeling scenarios.You'llget hands-on experience.The moretimes you fall and pick yourselves upagain, the more trees you hit, themore you challenge yourself, the moreyou'll grow your experiences andknowledge base. By the completionof the tutorial, you'll obtain a higherlevel of experience and have a fewmore techniques to apply when youget back to the office.This tutorial includes three modules.Module 1 contains the easy GreenTrails, Module 2 the moderate BlueTrails, and Module 3 the difficultDiamond Trails.● Green trails will strengthen our

skills in areas such as definitiondiscrepancies and physicallyimplementing subtypes

● Blue trails will strengthen our skillsin areas such as complexhierarchies and aggregation

● Diamond trails will strengthen ourskills in areas such as super starschemas and advancednormalization

14:00-17:30

THE ART (AND SCIENCE) OFDIAGRAMMING: HOW TOCOMMUNICATE EFFECTIVELYUSING DIAGRAMSDaniel Moody, University of Twente

Diagrams play a criticalrole in data managementpractice: they are used todocument models andarchitectures andcommunicate these

throughout the enterprise. Despitethis, data management professionalstypically receive little or no training inhow to produce “good” diagrams.The result is that most diagramsproduced in practice act more as abarrier than an aid to communicationwith stakeholders.This tutorialdescribes how to produce diagramswhich communicate effectively. Topicscovered include:● What is meant by a “good” diagram● Common errors in diagramming

practice and how to avoid them● The language of graphics: principles

of graphic design and composition● How diagrams are processed by the

human mind: principles of visualperception and cognition

● Principles for effective diagrams:guidelines for producing diagramsthat communicate effectively (thatoptimise human graphicalinformation processing)

The principles apply to all types ofdiagrams, from formal diagrams usedin application development andenterprise architectures to informaldiagrams used in presentationsand reports.

09:00-12:40

EFFECTIVE DATABASE DELIVERYFROM REQUIREMENTS TO DATAMODELLING AND BEYONDGraham Witt, Ajilon Consulting

The quality of a dataresource delivered to anenterprise depends oneffective two-waycommunication betweendesign professionals and

enterprise stakeholders about thelatter's requirements and the ways inwhich those requirements are to bemet. This tutorial uses an interestingcase study to illustrate the end-to-end process of turning requirementsinto a functional database, coveringthe following steps:

● Engaging the stakeholders● Conceptual data modelling● Requirements analysis and tracking● Converting a conceptual data

model into a logical data model● Business Rules● Modelling the time dimension● Data migration

14:00-17:30

MANAGING THE DATAEXCHANGE RELATIONSHIP Michael Scofield, ESRI, Inc.

Any time data isexchanged betweendistinct and dissimilarorganisations, arelationship exists with avariety of duties,

expectations, and technical issues.There are host of issues which mustbe addressed unambiguously. Ofparticular concern are incrementalextractions of data after the first bigbulk transfer. It is also important, ifthe incremental transfers occur overa longer period of time, to detectchanges in scope, architecture,meaning, and quality of theincremental updates. It is crucial tounderstand the difference betweenupdates and corrections, and todetect changes in scope, architecture,meaning, and quality of theincremental updates. We will belooking at:

● Kinds of data and information● Logical data architecture of source● Data semantics and meaning● Ownership and usage● Currency and completeness

See Page 11 for fulldetails of the post-conference full daytutorials by Peter Aiken,Tom Haughey, C LwangaYonke and Alec Sharp.

Exhibits 30 Oct - 31 Oct

This is an ideal opportunity fordelegates to network withleading vendors in the areas ofData Management, InformationQuality, Meta Data and DW/BI.Platinum and Gold Sponsors willbe presenting perspectivesessions throughout the firstthree days of the event. For thelatest exhibitor information visitwww.irmuk.co.uk/dm2007

DW/BI

DAMA

allow everyone to contribute tomanaging the business and keeping itoptimised.This tutorial also focuses athow performance management canbe integrated with business processesto monitor and optimise operationalbusiness performance in real-timeusing Business Activity Monitoring(BAM) as well as providing guidancethrough alerting, recommendationsand guided workflow processes.Thetutorial will cover:

● Performance Management – Whereare we today?

● Limitations of existing performancemanagement software

● Raising the bar - Performancemanagement requirements for theintelligent business

● The emergence of performancemanagement processes

● Improving business performancethrough business processesintegration

● Operational performancemanagement - predictive analytics,scoring and performancemanagement rules and real-timedecision engines

● Integrating business processmanagement, BAM and Activitybased costing with PerformanceManagement

● Guiding employees via personalisedrole based objectives, dashboards,alerts and recommendations

09:00-17:30

DATABASE IN DEPTH:RELATIONAL THEORY FORPRACTITIONERSChris Date

Years of experience inworking with the databasecommunity stronglysuggest a need for aseminar that coversrelational principles in a

way not tainted by the quirks andpeculiarities of existing products,commercial practice, or the currentversion of the SQL standard. Thisseminar has been designed to meetthat need. It's aimed primarily atthose who feel they don't have asmuch understanding of the theoryunderlying their own field as theymight. That theory is, of course, therelational model - and while thefundamental ideas of that model areall quite simple, they're often notunderstood at all. Topics to beexplored include:

● What's the connection betweenrelations and predicates?

● What's semantic optimization? ● What's a join dependency? ● Why doesn't deferred integrity

checking make sense? ● What's nonloss decomposition? ● Can a relation have an attribute

whose values are relations? ● What's the difference between SQL

and the relational model? ● How does XML fit with the

relational model?


”“Excellent – says the things we allthink but don’t sayIan Barfoot, DataArchitect,Westpac

11:00 – 12:00 CONCURRENT SESSIONS

What Banks Need to Know-Using MetadataManagement for Basel II ComplianceDavid Plotkin,Data Quality Manager,Wells Fargo Bank

Banks around the world must comply with Basel II,and a large part of doing so involves proving that yourdata moved through the various system touch pointswithout being corrupted or lost.To be compliant, youmust implement a series of tools and performinspections (both manual and automated) on the datastream.This presentation details what tools you'llneed to implement, what front-end and back-endtasks you'll need to perform, and the aspects ofmetadata and data integrity you'll need to master.

Scorecarding – Data Quality in a Business ContextPaul O’Keeffe, Information Management Analyst,Marks and Spencer Money

Like all financial services providers, M&S Money hadthe challenge of readying its’ informationenvironment to comply with the Basel II CapitalAccord. They used the opportunity to provide aholistic view of Data Quality across theorganization and learned how to communicate dataissues in the language of the business.

● Defining and Measuring Data Quality● Building a Technical Framework for Data Quality

assessment● Illustrating the effect of poor Data Quality in

business terms

Your Web Data Collection Form –Achieving Higher Data QualityGraham Rhind, Owner, GRC Database InformationHow to achieve higher quality from data collectedvia web forms through some simple and easilyachievable changes.● International addressing● Twelve golden rules for high quality international

data collection● Web form examples, with problems and challenges● Practical advice for improving the quality

of collected data

The Active Data Warehouse – A Case StudyMike Schmitz, Data Warehouse Architect, BusinessKnowledge ProfessionalsActive Data Warehousing is here. Real-time and nearreal-time requirements are dramatically changingdata warehouse architecture and design and thissession focuses on the paradigm shift you will haveto make.We will look in detail at a prototypedeveloped for a client based on a solid businessrequirement.The focus will be on the dataarchitecture required to support near-real time, thechanged data capture delivery method, and theresource management issues.

● What is an Active Data Warehouse● Real-Time, Near Real-Time, or Just In-Time● A Data Architecture for the Active Warehouse● Near Real-Time Changed Data Capture● Resource Management in the Active Warehouse

How to Perform Information Stewardshipwithin Business Process RedesignJim Goetsch, Data Architect, Schneider NationalThis presentation describes how Schneider Nationalimplemented an "Information Stewardship"approach to identify and define information withinand across business processes being redesigned.Real-life examples will be used to illustrate the oldand new processes. Experience how ourorganization learned that information is the gluethat integrates business processes. Our companycreated an information governance programbecause of the success of this work.

● Where information stewardship fits with BPR● The 5 phases of Information Stewardship● Illustrate accomplishments in a real-life BPR effort

Developing Business Rules in aPharmaceutical Research EnvironmentLiz Calder, Business Architect, DiscoveryInformation, AstraZenecaPharmaceutical research is an information drivenenvironment. During the course of a drug discoveryproject thousands of compounds are tested and anyof the results can impact the progress of theproject. In the wake of a merger AstraZeneca, amajor multinational pharmaceutical company, tookthe position that "We can't afford to repeat whatwe've already done ourselves" and initiated aprogram of information sharing based on globallyagreed Business Rules.The presentation outlines theprocess we followed to:

● Develop and implement the Business Rules● Manage the associated business change● Keep the business rules relevant in a changing

business environment

Establishing Data Modelling as a Service in a Multinational Energy CompanyChristopher M. Bradley, Head of InformationManagement, IPL

As Data Modelling has been around for almost 30years, however, in many organisations the benefits ofdata modelling still need to be "sold". Whether it’s

the pressure of regulatory compliance, a focus ondata quality or a move to service-orientedarchitecture, "data" issues are once again coming tothe forefront for many IT organizations. A real-world case study will be presented, describing howa major UK oil company established data modellingas a service aiding its data governance initiatives.

● Making the case for modeling and ‘selling’ it tothe corporation

● Determining and establishing the "service● Enforcing standards across models and

incorporating stewardship● Sustaining an effective communications

programme● Measuring the benefits


Master Data versus Reference DataMalcolm Chisholm, President,AskGet.com

Heightened interest in Master Data Management(MDM) appears to have spawned many projects toaddress it at an enterprise level. Many of theseprojects appear to include Reference Data withintheir scope. However, Master Data and ReferenceData are quite different. Each has its own uniquemanagement needs. If projects attempt to manageboth using the same techniques they are likely toend in failure. This presentation explores thespecial properties and behaviours of master dataand reference data. It examines some importantmanagement needs of both, to clearly demonstratehow each of these classes of data must beapproached.

● What Master Data and Reference Data are, andhow they relate to each other and other classesof data

● Major unique management needs of Master andReference Data

● Integration of Master and Reference Data

Conference 30 October 2007


08:00 – 08:45

International Association for Informationand Data Quality (IAIDQ) Meeting

09:00-09:30

Joint Chair IntroductionsRick van der Lans, R20/ConsultancyLarry P English, INFORMATION IMPACTInternationalJohn Schley, DAMA International

09:30-10:30 DAMA KEYNOTE

DATABASE GRAFFITI: Scribbles from The Askew Wall Chris Date

This keynote is based in part onone of Chris Date's regularcolumns in DatabaseProgramming & Design (the tenthanniversary issue), but includesmuch additional material. Itconsists of a series of quotations,

aphorisms, and anecdotes – seasoned with a fairdegree of personal commentary – that are(mostly) relevant to the general subject ofdatabase management. The session is nottechnically deep, but several serious messagesdo lie not too far below the surface. The aim ispartly to edify, partly just to amuse.● The prehistoric era ● Objects and objections ● Normalization, networks, and nulls ● The role of simplicity ● The joy of self-reference ● Some fundamental principles ● Relational misconceptions ● Some good quotes ● Books and book reviews ● Miscellany

13:30-14:30 META DATA KEYNOTE

Milestones on the MDM Road Map for 2008-09Aaron Zornes, Chief Research Officer,The CDI-MDM Institute

Market-leading organisationsincreasingly see the value indelivering "master" views ofenterprise data. Such mission-critical infrastructure no longerneed be custom-built asvendors such as IBM, Oracle, SAP,

and Teradata provide off-the-shelf solutions.Enterprise master data management (MDM)solutions such as customer data integration(CDI) can now be realised via solutions frommega vendor MDM applications, systemsintegrator frameworks, and best-of-breedsolutions such as DataFlux, Initiate Systems,Purisma, Siperian, and VisionWare. The businesscase is driven primarily by competitive marketrequirements – e.g., economies of scale promisedby M&A, increasedcross-selling and up-selling capability, reduced backoffice costs, increased levels of customer service,and enablement of customer-directed self-service.This keynote willfocus on a set of strategic planning assumptionsfacing IT organisations during 2008-09 andbeyond by highlighting:

● Planning for the juggernaut of MDM marketmomentum, maturation, and consolidation

● Coping with the skills shortage for datagovernance, enterprise architecture, et al

● Identifying the essential (vs. desirable)features of an enterprise-strength MDMsolution

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“”Conference was very informative. It wasthe first time I have attended but I canassure you it will not be the last.The venue was excellent.S McCahy, MOD



Strategies for Data Quality Management:Survey findings from UK Utilities andTransportGordon Brown, Principal Consultant, AMT-SYBEX

In March and April 2006 AMT-SYBEX carried out asurvey of Data Quality Management practices in theUtilities and Transport sectors in the UK.Thepresentation will outline the key findings of thisSurvey of Senior Managers with responsibility forData Management.The survey findings cover theimportance, the impact, the root causes and theapproach to improvement of data quality withinthese organisations.The survey highlights the goodintentions that often exist but are not matched byexecution of high level principles.A best practicegroup is selected and the common elements oftheir strategic approach highlighted.● The root causes of poor data quality in the

utilities and transport industries● Characteristics of effective leadership in data

management● The importance of measuring the information

value chain● Differences in perceptions between IS and

Business participants

Data Quality Framework at NestléDr.Walid el Abed, BTC - Data Standardization/Data Management, Nestec – GLOBE

Nestlé is beginning to provide worldwide visibilityof its data quality and data managementperformance, and to provide tools to enablemarkets to take corrective measures and to drivecontinuous improvement.Through its Data QualityFramework (DQF), Nestlé has established commonmethods, definitions, tools, processes, and roles andresponsibilities to measure the ‘as is’ and monitorthe evolution of data quality in the corporation.The DQF will be a key enabler for Nestlé toleverage information for decision support and tofacilitate our transition from an implementationfocus to a "sustain-and-leverage" organization.● Six data dimensions have been defined within

the DQF ● Supporting Business rules defined in conjunction

with the Functions and Process Teams, andderived from the Data Standards

● Data Management Best Practices● How KPIs and anomaly reports on Nestlé’s

intranet enable an increase our data governance

Using Data Services and a Data Warehouseto Enable Real-Time Customer AnalyticsSena Uysal,TurkCell & Sukru Haciyanli, SIMeteksanHow can you provide real-time business insight in anenvironment of complex data sources, massivevolumes, and ever-changing business reportingneeds? In this presentation we will show howTurkCell, a provider of mobile communicationservices in Turkey, uses SOA data services tointegrate Siebel CRM with an Oracle datawarehouse out to their Cognos analytics. Servingnearly 40 million customers and 1 million new CRMactivities a day,TurkCell has architected a highperformance, flexible solution to the customerinsight challenge.● How to effectively architect a data integration

and data warehouse strategy using an SOA dataservices approach to accelerate deployment,reduce risks, and lower costs

● What are the data warehouse and integrationbest practices and lessons learned when buildingreusable, high-performance data services?

What Makes A Good Data Model?Data Model Quality CriteriaGraham Witt, Consulting Manager, Ajilon Consulting

The answer to the question "What Makes a Good DataModel?" is complex. This presentation provides achecklist for reviewers of data models or data modellerswanting to produce better models, and covers:

● Model documentation and presentation● Support for requirements● Alignment with other models● Compliance with standards, including naming

standards● Data structures and data types● Business rules● Assumptions

Semantic Enterprise Information Integrationat Orange France Telecom - A Success StoryFrançoise Gesbert, Cartography EnterpriseArchitect, Orange France Telecom & Antoine Proult,Enterprise IT Architect Associates, ACP Conseil

This presentation will focus on how Orange Franceimproved productivity and positively impacted dataenterprise practices related to project management,support and monitoring activities, regulatory compliancerelated to privacy, and information life cycle and datastrategy.

● The creation of a metadata repository● Enterprise data associated with critical

applications ● Semantic integration principles ● The implementation of a data virtualization layer,

based on an EII platform

Enterprise Architecture: Straight From the ShoulderJohn A. Zachman, President, Zachman InternationalJohn Zachman has been searching for the EnterpriseArchitecture "silver bullet" for 30 years and still has notfound it. He has given up and says "there is no suchthing as an Architecture silver bullet!" In thispresentation he makes the case that architecture isfoundational for managing modern enterprises.Thispresentation is not for anyone looking for a "quick-fix"or "easy-out". This is Enterprise Architecture. See howJohn develops the engineering logic for:● Integration ● Flexibility● Usability ● Interoperability● Reusability ● Quality


A Complete Data Architecture Developmentto Support EAI and BI ImplementationArthur Haynes, Principal Data Architect,Siemens IT Solutions and Services Ltd (SIS)The session explains the data architecture approachthat has been taken within a major media industryorganisation.The approach is pragmatic and basedupon the fundamental philosophies of many standardarchitectural frameworks, e.g.TOGAF, Zachman. Itspecifically sets out an integrated implementationthat can be applied for the data stream in any ofthese frameworks. Having set out the principlesunderlying the method, examples are describedexplaining how it works from project inceptionthrough to application operation.The approach to be presented is shown in terms ofits meta model basis (explaining the principles beingfollowed), and examples of its application on projectsat different development stages will be given. Finallythe direct path through to XML and XSLTimplementation within a middleware environment willbe shown with specific reference to animplementation project.The approach shows a simple,manageable way to develop a Data Architecturewithin an Enterprise Application Integration that willalso service corporate Business Intelligence ambitions.It is presented here as an easy-to-use strategy thatother organisations may consider using.

Information Quality within BelgacomPaul Gysemans and Annick Andries, Belgacom

This presentation briefly presents the companyBELGACOM and situates the "Information QualityTeam" in the enterprise.The mission, vision, rolesand responsibilities of the team will be clarified.During the exposition a focus will be put on thecovered domains, the several methodologies appliedto guarantee producing reliable and useful auditsand scorecards, and the used tool set. In additionthe different actions like cleansing and root causeanalysis, which arise out of the scorecards, arediscussed.At the end the lessons learned arehighlighted.

A Practical Approach and Tool For DataQuality AssessmentDr. Markus Helfert and Dr.Thoa Pham, Lecturer& Postdoctoral Researcher, Dublin City University

Data quality assessment concerns the analysing dataon criteria such as completeness, accuracy, timelinessand consistency.The cause of defects normally comesfrom broken processes and management systems.However, one cause of data defects that is poor orimprecise data specification.We illustrate a practical approach of the IASDO(Integrated Aspects of Static, Dynamic andOrganization) model and a tool that can help toanalyze and improve DQ in enterprises. The examplewill be based in the domain of healthcare and in thedomain of high volume manufacturer.

● Impacts of conceptual data model on dataquality

● Principles of the IASDO model● Data quality assessment based on the IASDO

model

Leveraging Enterprise InformationIntegration (EII) in Data WarehousingMike Ferguson, Managing Director, IntelligentBusiness Strategies

The emergence on of Enterprise InformationIntegration technology in federated query tools oras an extension to ETL has raised many questionsamong business and IT professionals as to how itcan be used in business. In particular, how can BIsystems exploit EII to help integrate BI andoperational data for specific reporting needs and tohelp integrate performance management tools withmultiple BI systems. This session looks at EII indepth, the technologies in the market and howsome companies are using it to good effect with BI systems.● What is Enterprise Information Integration● How does EII work? – Federated query Vs

On-demand ETL● The EII marketplace● Using EII with BI systems

● Regulatory and operational reporting● Integrating CPM and BI using EII● Protecting ETL processing from merging

operational systems● Calculating metrics using data in from multiple

underlying data marts● More bang for your buck - Using ETL

tools for EII● Case Studies – what some companies

are doing

Practical Data Governance at ReutersHelen Townsend & Toni McDerment, EnterpriseData Architects, ReutersReuters is a global information company providingindispensable information tailored for professionalsin the financial services, media and corporatemarkets. The organisation has evolved over manyyears and as a result of acquisition and naturalprogression, the data and technical environment inwhich it operates, is largely diversified. To mitigatethe effects of this, and to cope with a constantlyand rapidly changing set of enterprise requirements,

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“”On the whole it was 3 days well spent.Very well organisedClaire Parry, InformationManager, Chelmsford BoroughCouncil

the approach taken has been to apply datagovernance at the enterprise architecture level.● The type of data governance needed at Reuters● The challenges we are being faced with today● The practical ways in which they are being

addressed

Gaining Maximum Value from Data ProjectsRon MacDonald, Senior Data Architect, Elsevier &Luke Thompson, Solutions Consultant, DataFluxAs more organisations have developed a team withresponsibility for maintaining data quality andintegrating enterprise data, a focus has nowemerged on just how to do this to greatestbusiness effect.This presentation will draw onextensive DataFlux customer references from theworld’s leading brands, such as Elsevier, to provideinsight into best practices when driving value fromdata projects, incorporating not just customer datamanagement, but also product, supplierand HR data initiatives.The presentation will touchon governance models, architectures, processes andalso technology such as a SOA approach and real-time deployments, to provide practical examples ofvaluable data projects.

The Inmates Taking Over the Asylum?Web 2.0 and Data ManagementSam Lowe, Sector CTO, Capgemini The emerging trends described as Web 2.0 (thepatterns and models evolving in the ‘secondgeneration’ of the consumer internet) are beingdiscussed far and wide in what they will mean for theway that the public interact with the web, withbusinesses and governments, and with each other.Looking at how Web 2.0 is changing the Web, andconsidering how SOA approaches could play a role insimilar changes, gives interesting principles to howdata architectures and information systems may needto evolve to improve their effectiveness and value tothe enterprise and its employees.● What these trends mean for traditional

approaches to data management● Ideas about changes we may see and ways we

can change our thinking● Examples from a variety of industries

17:05-18:45 Drinks Reception Hosted byDAMA UK

10:30-11:30 CONCURRENT SESSIONS

Managing Information Flow ThroughManaged Lineage Meta DataDavid Plotkin, Data Quality Manager,Wells Fargo Bank Understanding and improving information quality almostalways involves knowing where data came from, thebusiness rules applied to it, where those rules wereapplied, and any transformations the data went through.That is, you must understand and document themetadata around data transformations.You will learnhow to build an information chain and the many waysthe information chain can help you understand anddocument data lineage, rules, assigning of stewardship,and semantic mapping. A basic metamodel will bepresented for recording transformations in a metadatarepository, and how to customize the metamodel toadd more detail for business rules and the ruleapplication point.You will learn processes to record andimplement business rules and how to segregate datathat fails the rules. You will also learn the process andcultural implications of implementing rigorous IQthrough metadata management.A case study willdocument actual cost savings and productivity increasesfrom having successfully tracked lineage for data.● Building the Information Chain ● The value of the Information Chain ● Tracking data lineage across the Information Chain ● Specifying IQ rules ● Examining the metadata that must be recorded and

analyzed to understand what happened to the data● Inspecting the Lineage metamodel

Master Data Quality Measurement in SAP—Beyond the BasicsTom Fish, Data Quality Process Manager,Air Products and ChemicalsMost Data Quality tools offer checks for missingdata and formatting, but what does it take to verifythat master data is truly fit for purpose in thebusiness process? After measuring SAP master dataquality for 3 years,Air Products recently started toput in place a second generation of moresophisticated measures to detect whether masterdata really conforms to process requirements.Thispresentation will describe how we did it, includingdemonstrations of some of the measures.

Simple COQ Model and Typical BarriersMilan Kucera, Information Quality Consultant,Data to Information, s.r.o.This presentation describes a way to develop andimplement simple Cost-of-Quality (COQ) model.Mr. Kucera describes the information qualitytechniques he used in developing this model. Heidentifies different barriers and company habits (likeunwillingness to work on future development,missing communication, issues in calculations, etc.).He presents other barriers and compares identifiedissues to information quality principles.● How to develop simple COQ model● Typical barriers to information quality

implementations● Recommendation for solving those barriers

Why do we need DW Appliances?Rick van der Lans, Industry Analyst,R20/Consultancy

In a nutshell, a data warehouse appliance is amachine with processors, disks and a databaseserver, where every software and hardware moduleis tuned towards a typical data warehouseworkload. More and more appliances are appearingon the market, including DATAllegro, GreenPlum,HP Neoview, Netezza, and the Sun DWA.All thevendors report that these appliances will drasticallylower the TCO, improve query performance, andare capable of handling massive volumes of data.Some even state that they are ten times cheaper,and ten times faster. But how true are these bold

statements? Do these machines really lower TCObecause the time we spend on tuning andoptimisation is close to zero? Can we easily portour existing warehouses, now running on DB2,Oracle, or SQL Server, to one of these appliances?In this session, a critical and realistic overview ispresented of the state of the art of data warehouseappliances.

5 Techniques for Getting Traction with Data ModellingAlec Sharp, President, Clariteq Systems Consulting Ltd

Experience shows that simple techniques, consistentlyand regularly applied, will go a long way to gettingtraction for the idea that data modeling is a vitalbusiness tool. Drawing on almost 30 years of successfuldata modeling experience, this presentation will discussfive (or maybe ten) core techniques for helping peopleappreciate, use, and possibly even want to build datamodels. Topics include:● Don’t try to teach data modeling● Show them what they’ve already got (and why

they don’t like it)● Solving a management issue● Making it repeatable – methods, patterns,

procedures● Tufte would agree – graphic principles matter!● Be style conscious – "V-A-K"

The Changing Nature of Discourse BetweenData Professionals John Schley, Senior Data Modeler Analyst,Principal Financial GroupMajor changes are coming to how data professionalscommunicate. Today we network at training events andin small geographically-based groups. We listen to asmall set of experts and learn new topics andtechniques from the "gurus". The advent of newtechnologies and new ways of organizing ourselves isbringing changes to that, however. Soon we will be ableto tap into the collective wisdom of everyone and notbe limited to the vision of a few experts.

● Social networking and collaboration● Open source solutions● Ways to build a stronger, more vibrant data

management community

Deciding What Data to Govern Michele Koch, Data Administration, Sallie MaeHow do you decide what data your governanceprogram should address? Sallie Mae, who managesmore than $137 billion in student loans for 9million United States borrowers, wanted to focuson enterprise data.They embarked on a project toidentify fields that were used by multiple businessunits. They also started as a self-funded DataArchitecture project rather than through anexecutive mandate and used a meta data initiativeto initially drive governance rather than the otherway around.● Relationships between enterprise fields and

Master Data● The top-down approach that inspired business

users● Tools and processes used to discover enterprise

data across multiple systems.● How this project paved the way for

implementing formal Enterprise Data Stewards ● Benefits of a "non-traditional" Data Governance

approach

Conference 30-31 October 2007


08:00-08:45 DAMA International Meeting

31 October 2007

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09:00-10:00 IQ Keynote

So Many Data, So Little Time: Exploring, Understanding and PresentingData with a Bias for Action Dr.A. Blanton Godfrey, Dean of the College of Textiles,North Carolina State University and FormerChairman and CEO Juran Institute, Inc.

Far too often we rush intocollecting data without takingtime to stop and ask why.Whyare we collecting these data?Who will use them? How willthey be changed into information?

What action will we be able to take with thisnew information? How critical is the quality ofthese data to the decision we will make? In thispresentation we'll explore these questions anddiscuss recent efforts to answer some of these.One area we'll explore is how Six Sigma anddata quality are intricately related.Another isthe intent of the new Institute for AdvancedAnalytics. A third area is how new interactivedatabases are creating new challenges for theirdesigners and for the business analysts who use them.

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11:35-12:35 CONCURRENT SESSIONS

Managing Metadata for SOA: How to deal withcontracts and policies in the context of SOAgovernance and the SOA lifecycleJason Bloomberg, Senior Analyst & Principal,ZapThinkTo meet the agility goal of Service-OrientedArchitecture (SOA), it's essential to implement adeclarative, configuration-based approach toconfiguring and composing Services.The secret tothis declarative nature of Services is Servicemetadata that describe the behaviour of Servicesand their consumers in the context of a workingSOA implementation. Managing those metadata,therefore, becomes a critical infrastructuralchallenge for any SOA implementation, especiallyconsidering that SOA requires so many differenttypes of metadata with different needs andpurposes.● How to tackle the management challenge for

contract, policy, and other Service metadata aspart of a SOA initiative

● How metadata management is critical for SOAgovernance

● How to avoid the metadata management pitfallsthat can sabotage an agile Service lifecycle

Customer Data Quality as a (Self) Service ina 24/7 Internet Retail EnvironmentAlmar Hijlkema, Data Process Manager,WehkampRetail B.V. & Herman Gores, Senior Data QualityConsultant, Human Inference B.V.As in the past call center agents and data-entryemployees were the gatekeepers on data quality,nowadays due to the growth in internet usage, thecustomer is more and more manager of his owndata, incl. data quality.Wehkamp has implementedfirst-time-right principles via intelligent softwareservices on data quality for their web customers, toprevent their database from being polluted andtherefore guarantee optimal operational businessprocesses and reliable customer intelligence.● Information quality for customer self service ● Intelligent software services independent of

channels● Return on investment

Embedding DQM Best Practice into the ITProject LifecycleDr. Robert Daniels-Dwyer, Data Quality Leader,Network RailNetwork Rail is the blue-chip, not-for-dividendcompany tasked with delivering sustainedimprovements to Britain’s rail infrastructure. Thispaper introduces how the company has begun toembed DQM best practice into its IT projectlifecycle.The emerging benefits of this work are:● Reduced levels of project risk relating to non-

availability/unsuitability of application-critical data● Early sight of realistic estimates of effort

required for data migration● Improved post-delivery integration of

applications with business processes● Clarity of master data sources and ownership

Who Needs Real-time DW?Tom Haughey, President, InfoModel LLC

Data warehousing within an organization willprogress through different levels of maturity. Realtime data warehousing is not for everyone. Someorganizations are still at the stage of evaluating therelevance of simple issues like should the structurebe a star or a snowflake. Others have had years ofsuccess with data warehousing and are looking toachieve even greater business benefit and higherlevels of return on investment.This presentation willaddress first what is real-time and what is a datawarehouse, and then what is a real-time datawarehouse. Significant changes in thinking andtechnology are required to enable real-time datawarehousing, as well as real time BI.We will discuss

examples of business applications that make sense,such as in managing a hedge fund.What are thecharacteristics of organizations who should eventhink of making the move to real-time datawarehousing.Are there applications that are moresuited to than others?

In addition to the types of organizations andapplications, three major and advanced design topicswill be discussed as they pertain to real-time:

● Enhanced performance● Enhanced availability and● Enhanced data freshness

This presentation will focus on what it takes toachieve each of these, and the characteristics of anorganization required to achieve these.

Asset Data Management for the East London Line ProjectJosh Kanyemba,Asset Data & Records Manager,East London Line,Transport for LondonThe East London Line Project aims to extend the existing1870’s built line northwards from Shoreditch to DalstonJunction to link with the North London Line.To enablethe upgrade and design of the railway line,existing assetdata was gathered from various stakeholders whoincluded railway infrastructure owners,operators,regulatory authorities and railway network maintainers.The data that was gathered by the consultants working onthe project was in electronic and non-electronic format.The decisions that had to be made involved data integrityand assessing the risks associated with using poor qualitydata. Key points:● East London Line upgrade ● Managing existing data ● Data management during project

implementation

Corporate Data Mashups Peter Aiken,VCU/Data Blueprint

What are mashups and how might they be usefuland/or impact my organisation? Mashups occur whensomeone writes a website that uses data from anotherwebsite. Sounds simple enough but the implications arehuge particularly when considering other architecturalconfigurations such as SOA. This talk describes andillustrates a number of mashups, describes the basictechnology behind them, and will leave delegates withthe ability to evaluate their potential utility for theirown organizations.● What it means to be a mashup● Emerging technical and social challenges that

mashup developers face● Web applications informally known as Web 2.0

Structured Business VocabulariesGraham Witt, Consulting Manager, AjilonConsulting A Structured Business Vocabulary provides manybenefits to an enterprise. This presentation describeswhat a Structured Business Vocabulary looks like andhow to build one so that you can capture theorganisation's terminology and definitions in a singlerepository accessible across the organization. Grahamwill draw on his experience developing a taxonomicallyorganised and inter-related dictionary of business termsfor a government department. This was done toprovide reusable business object definitions for futuresystem development.● Providing a common language for use in data,

process and object models● Defining terminology that is understandable to

all stakeholders● Improved internal and external access to

information● Providing a common language for business rules


Implementing Information Management with SOAArt Ligthart, Principal Solution Architect, OrdinaInformation Management is the set of processes bywhich companies can collect and manageinformation from one or more sources, anddistribute the information to relevant stakeholders.Until now, numerous individual and difficult-to-integrate technologies and tools exist to supportthe information management functions: BI, portals,ECM, ETL, DW, datamarts, OLAP, cockpits,datamining, OLTP, EAI, ODS, workflow, ESB, search,replication, MDM, metadata, transformation,transport etc etc. But now a new generation ofintegrated, serviceoriented enterprise platforms isbeing developed, the next generation of enterpriseservice busses, which offer the same informationmanagement functions, but then as a set of easy-to-integrate services. In the future, theseunified SOA-platforms will be processing all formsof unstructured, semistructured and structured data across the enterprise. In this presentation anoverview of this development will be given, andquestions like ‘What to do with the existing toolsand technologies’, ‘Is it just another solution for thesame problem’, ‘does this increase the complexity?’will be addressed.● Implementing Information Management with SOA ● Service Oriented Architecture: overview and

actual status● New integration platforms offer new services

for information management ● How to choose between existing tools and

new services?



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14:00-15:00 DW/BI Keynote

Building Data-Rich Service-OrientedBusiness Applications in a HeterogeneousEnvironmentJason Bloomberg, Senior Analyst & Principal,ZapThink

In a properly architected SOAimplementation, business Servicesrepresent the data and processesavailable to the business and thecore functionality of theunderlying systems. People then

compose Services into Service OrientedBusiness Applications (SOBAs) that implementbusiness processes or provide access toheterogeneous data sources, and many offersome combination of business process and dataaccess.When organizations build data-richSOBAs, they can break the ties of traditionalbusiness intelligence and business activitymonitoring solutions by exposing real-time,flexible access to heterogeneous data sources,which provides far more value to the businessthan the static, summary data that older toolstypically provide.Join Jason Bloomberg for a discussion ofSOBAs, and how they leverage SOA to provideboth more agile business processes as well asreal-time, flexible access to heterogeneousinformation across the enterprise.

● Understand what SOBAs are, why youshould build them, and what the challengeswith SOBAs you will likely face

● Learn how to leverage SOBAs to providemore flexible access to heterogeneousinformation to provide better value to thebusiness

● Get an exciting perspective on the nascentarea of Enterprise Mashups, which are richinterfaces to SOBAs that leverage thecapabilities of SOA for the enterprise


Featured Presentation

Seven Deadly Misconceptions about IQ:Implementing IQ for Business EffectivenessLarry P. English, President, INFORMATION IMPACTInternationalWell-intentioned organizations are seeing their dataquality initiatives fail because they are grounded inmisconceptions that prevent them from achievingthe maximum benefits of a sound qualitymanagement system.In this presentation Mr. English, the Father of TIQM,will describe the seven deadly misconceptions thatcan ultimately sabotage your IQ initiative and causeyou to lose management support for what mustbecome a core competency (Information QualityManagement) for an Information-Age enterprise tosurvive and thrive.Mr. English describes the principles, processes andtechniques required to successfully implement andgrow your IQ function into a mature enterprise-transforming capability.

● Seven Deadly Misconceptions About InformationQuality

● Core principles of any sound QualityManagement System

● Core processes of a sound IQ ManagementSystem

● Culture transformation required and how toeffect it

● Critical success factors and successes

Performance Management for EverybodyKasper Damsø, Novo Nordisk & Jørgen Steines,Platon A/SThe management philosophy of Novo Nordisk isbased on the Balanced Scorecard concept.Thepurpose of the Performance Management solutionis to fulfil the need of a fact-based measurementsystem - covering all relevant ‘key performanceindicators’ (KPIs).There has been a strong focus tomake the system an integrated part of themanagement process. From the beginning, it hasbeen sponsored by top-management which hasshown full commitment by, for example, using thesystem themselves, and stating that the only truthcomes from here.The system is used at everymanagement meeting.Targets are set and bonusescalculated for each employee at a yearlydevelopment conversation which is related tospecific KPIs in the system. Even hourly workershave access to simple screens to monitor progressfor meeting various goals.

An Information Sharing Platform for the Public ServiceElizabeth Olivieri, IRM Manager, MaltaInformation Technology & Training Services LtdThe Government of Malta had a number of disparatesystems across Government departments, thusrendering the management of information as acorporate resource ineffective and expensive. The needfor a repository to be accessed by GovernmentDepartments had been indicated as one of the moststrategic systems in the Information Systems StrategicPlan. The Maltese Government aims at promoting aninformation sharing culture within the legal parametersacross Government Departments to improve datacorrectness, consistency and currency. This initiativetherefore serves as the basic platform to implement thispolicy, and consolidate public domain information that is commonly used across Government Departments.This case study will share:

● Real life experiences and strategies for creatingthis platform

● Managing the project phases● Creating a robust centralised data repository● Developing shared information services and role

based access control● Increasing citizen satisfaction through the

one-stop shop concept

Introduction to Geospatial Data Architectureand GIS Data Management Michael Scofield, Manager, Data AssetDevelopment, ESRI, IncGeographic information systems, (GIS) is a collection ofcomputer hardware, software, and geographic data forcapturing, managing, analyzing, and displaying all forms ofgeographically referenced information. GIS databasespose unique challenges in data management because oftheir complexity and unique structural requirements.● Challenges to achieving accuracy in positional data● Integrating geographically referenced data● Epidemiology and environmental studies● Evaluating non-geographic behaviour

characteristics from a geographic perspective

Progressing Up the Data ManagementMaturity Curve David Hammer, Master Reference DataDevelopment Manager, ShellShell Downstream has standardised its processes andsystems. A significant part of benefits realisation isdependent on good quality and standardised masterdata. To achieve this, Shell Downstream hasimplemented a Global Data Management organisationwith the goal of achieving world class status in datamanagement.This presentation outlines our approach to date formoving an organisation up the Data ManagementMaturity curve. Drawing on the learnings from Shell’sexperience and building on recent developments inimplementing enterprise wide initiatives, thepresentation highlights some of the pitfalls to be avoidedand critical success factors necessary to be successful.

● Introduction to the Maturity Model● Identifying the key elements ● Before you start – have a clear picture of where

you want to be in the future● Getting the right balance


Information into Action: Delivering Valuefrom Information Governance and MetadataManagementRon Klein, Sr. Information Management Consultant,BMO Financial Group

The BMO Financial Group views information as astrategic asset and should be managed with the sameattention as human and capital resources. Numerousinformation management (IM) initiatives are underwayto transform our Corporate Policy intoimplementable standards, practices and processes.From the beginning, our work has been grounded inmetadata management.This session shows how metadata and governance work together.● The landscape for governance and meta data

management ● How meta data, stewardship and governance

work together ● The value proposition for meta data management ● How the data warehousing practice at BMO FG

uses meta data

Plenary Panel: Ask the Expert PractitionersPaul O’Keeffe, Marks & Spencer MoneyDr. Robert Daniels-Dwyer, Network RailPaul Gysemans, BelgacomAnnick Andries, BelgacomDr.Walid el Abed, NestléTom Fish, Air Products & ChemicalsPractitioners will each have approximately 4 minuteseach to introduce themselves and talk about a bestpractice or information quality story at theirorganizations. Then we will open the session toaudience questions.

The Virtual Data Warehouse - Yesterday’sVision is now Today’s RealityRobert Eve,Vice President, Marketing,Composite SoftwareData Warehouses have been a great solution forrationalizing historical data so you can getyesterday’s data tomorrow. But what happens whenyou need today’s data today? And tomorrow, whathappens if you need to see a slightly different dataset? In this case you need a "Virtual DataWarehouse" that provides data more flexibly andquicker.● The Virtual Data Warehouse Concept● Using Data Services instead of ETL● Ensuring Performance and Security● Next Steps in the Evolution

Delivering Decision Ready Informationto The Risk Agile OrganisationSteve Benton, Business Continuity, Security andGovernance, British TelecomEffective Operational Risk Management demands thedelivery of decision ready information to the riskcommunity. Organisations require ever increasing insightinto their risks and controls for a host of reasons, notleast compliance, corporate performance and strategy.The organisation, especially at senior levels, is becomingever more hungry for properly aggregated andcorrelated data and thus organisations must build theright architecture to provide the necessary sensory andcognitive environment.During this presentation we will explore:● The governance, risk and compliance sensory

and cognitive environment needed to sustain anactive and successful ORM programme

● The specific demands on data, from creation todestruction, at motion and at rest

● How to manage the risks posed by this newenvironment.

We Don't Need a Corporate Model (Oh, Yes, You Do!)Dagna Gaythorpe, Independent Data ArchitectThe corporate data model seems to be falling out offavour these days. For anyone who has printed one outand found it takes up a whole wall, this is probably nosurprise. But it isn't a picture - it is a repository forrecording the metadata that we want to reuse, a toolfor getting applications developed faster, better andcheaper. This presentation explains what can be donewith a corporate data model and covers:● What a corporate model is good for● How to reuse someone else’s efforts● The times you wish you had one!● How to grow your own model

Data: The Antidote to Requirements BabelSuzanne Robertson, Principal, AtlanticSystems GuildThe process of building any type of product involvesdiscovering the requirements and making sure thateveryone involved interprets them in the same way.Yet every day we hear of another example of aproduct that does not satisfy the original businessneed.This is not surprising given that there are somany different specialists needed to build any product.And for each different person involved in the projectthere is another possibility for the requirements to beinterpreted differently – according to that person’spoint of view.This talk is about how consistentdefinition and management of data is the antidote torequirements Babel.

● The relationship between data and requirements● Early definitions of terms within the scope● Tracing terminology throughout the lifecycle● Data driven requirements



CASE STUDY

CASE STUDY

CASE STUDY

CASE STUDY

CASE STUDY


”

Post-Conference Tutorials 1 November 2007

Meta Data IQ DW/BI DAMA


09:00-16:30

BEYOND THE BASICS -MANAGING METADATA IN THEREAL WORLDPeter Aiken,VCU/Data Blueprint

Managing metadata inthe real world is a verydoable proposition.Today's metadatainitiatives must deliverimmediate ROI to

attract and retain managementcommitment.This tutorialdemonstrates how organizationscan and have rapidly andsuccessfully gained value frommetadata projects in today'senvironment in the face ofeveryday, real-world pressures.Success is achieved by applying afew metadata strategies andconcentrating on thesefundamentals in a manner thatcauses the business to recognizemetadata as both the cause andthe solution to specificorganizational challenges. A keyunderlying assumption is thatmetadata management requiresnot a repository to get startedbut repository-like functionalitythat can be developed in weeksinstead of years. Uponcompletion, participants will:● Understand the difference

in focus that is required forreal- world metadata strategies to work

● Comprehend thecomplimentary characteristicsbetween metadata and datamanagement practices

● Be able to architect arepository-like solution thatcan be grown into a moreadvanced project

● Assess and articulate thebusiness value of proposedmetadata projects.

09:00-16:30

BUILDING AND GROWING ASUCCESSFUL IQ FUNCTIONC. Lwanga Yonke,Aera Energy, LLC

Successfully tackling thetough challenges causedby poor data qualityoften seems like anoverwhelming and

thankless task. Moreover, asawareness about the importance ofinformation quality grows,information quality (IQ)practitioners are increasingly calledto tackle a myriad of complex IQproblems. To be successful in theshort and long terms, the IQpractitioner must be equipped witha robust foundation deeply rootedin proven best practices andapplicable to various IQ efforts suchas from CDI, MDM, compliance,governance, data integration,business intelligence, etc.Drawing from lessons learned atthe frontline, this tutorialdescribes the fundamentalcomponents of successful IQfunctions and provides practicalguidelines on getting started andremaining successful. Severalhands-on exercises are used tofacilitate learning and promotemastery. This workshop will bebeneficial to those implementingnew information quality programsand to those seeking to re-energize or re-focus existingones. Participants will leave withtangible solutions to many oftheir toughest IQ implementationchallenges. Topics addressedinclude:● The fundamental activities of

IQ management andimprovement

● Developing an IQ strategy● The best home on the org.

chart● Tools and methodologies● Measuring IQ Costs and

Benefits ● Building a company-wide IQ

culture● Aligning Business and IT for IQ

success ● The CXO Perspective● The attributes of the successful

IQ Leader

09:00-16:30

NEW ADVANCED DATAMODELING TOPICS FOR THEDATA WAREHOUSETom Haughey, InfoModel LLC

This presentation is forexperienced datawarehouse architectsand database designers.The presentation willdescribe the most

challenging data warehouse designproblems the world of datawarehousing has faced.Thispresentation is not just anotherdimensional modeling promotion.It will show where dimensionalmodel is and is not applicable.Among the requirements to beaddressed in modeling the datawarehouse are: handlingaggregation, heterogeneousproduct and transaction types,handling time and history,handling changing dimensions,handling changing facts, handlinglate arriving data, supporting datawith different rates of change andstability, supporting large scaledatabase environments such asMPP (massively parallelprocessing).Designing a data warehouserequires different roles and usesof data, a different use ofnormalization, and new modelingconstructs. Key specialrequirements of the datawarehouse focus on time,location, and dimensional aspectsof data.These requirements areamong the reasons that analyticaldata modeling demands differentskills, perspectives and techniques.

● Data warehouse architectures ● New view of dimensional

modeling ● Required snowflakes● Conforming facts and

dimensions● Handling time and history● Heterogeneous dimensions

and facts● Changing dimensions and facts● Mixed changes● Modeling for different types of

time changes● Late arriving data: facts and

dimensions● Fact to fact joins● Predicate analysis for star joins● Do all facts have count,

amount; are all dimensionswithout them

● Factless facts● Fact or dimension● Design for parallel● Multiple roles● Use of surrogate keys ● Handling multi-valued

dimensions● Handling complex dimensions,

such as hierarchical, ragged,multiple dimensions

● Designing aggregates ● Aggregates vs. on-the-fly● Supporting restatement or

aggregates ● Designing for trickle load● Master data

09:00-16:30

SKILLS FOR THE ADVANCED DATAMODELER – HONING YOURTECHNIQUESAlec Sharp, Clariteq Systems Consulting Ltd.

Experienced or"advanced" datamodelers don’t all getthe same results. Some– the ones we love tohate – develop stable

models that are actually used, andmake it look easy. Others mighthave great technical modelingskills, but never manage to engagethe business experts or gain thesupport of business analysts anddevelopers.They end up watchingin dismay as their models areconsigned to irrelevance or areundone by "new" requirements.

What accounts for the difference?Magic? Luck? Great hair? No – it’shaving a well-honed set offrameworks, techniques,procedures, tricks, and othertools that can be used to keepthe process moving and keeppeople engaged.And that’s whatwe’ll cover in this one-day session– specific, repeatable techniquesthat you can use to drive yourdata modeling skills to the nextlevel.

This is an updated version of thetop-rated session that Alecdelivered at the 2005 DAMAEurope conference.

Some of the topics coveredinclude:

● Advanced topics – complexrules; generalization vs.literalism; relating recursion,abstraction, and subtyping;history, corrections, "as-of"queries, and Sarbanes-Oxley;using events, services, and usecases, and many more

● Facilitation techniques, andtheir use in data modeling

● The role of reverse engineering● The magical number seven, and

why we dumb it down to five● Data modeling in the world of

"off the shelf" or legacyapplications

● Conducting a data modelreview presentation

● Finding common groundbetween E-R and dimensionalmodeling

● The top ten techniques forhumanizing data modeling

11

DAMA International is a not-for-profit, vendor-independentassociation of technical and businessprofessionals dedicated to advancingthe concepts and practices for dataresource management andenterprise information.The primarypurpose of DAMA International isto promote the understanding,development, and practice ofmanaging data and information tosupport business strategies.DAMA International has chaptersand members-at-large throughoutthe world.As a DAMA member youreceive the benefits of your localchapter’s activities.As a member-at-large you receive all the benefits of

DAMA International’s products andservices.You can network withother professionals to share ideas,trends, problems, and solutions.Youreceive a discount at DAMAInternational conferences andseminars, and on associatedvendor’s products and services.To learn more about DAMAInternational, local chapters,membership, achievement awards,conferences and training events,subscriptions to DM Review andother publications, discounts, joblistings, and education please visitthe DAMA International web pageat www.dama.org.

DAMA International

“The great strength of thisconference is the number & variety of presentations/speakers.The big weakness of this conference is that I can’t get to all thepresentations I want to!Martin Willcox,Snr Architect,Co-op Group

“”Very Good ValueBrian Papworth, DataServices Manager,Alliance & Leicester


Registration Fees: Full payment or a purchase order is due prior to theconference. Payment may be made in Sterling (£) or Euros. If paying in Euros the prevailing exchange rate of the country of the delegate or delegates’ company is to be used. The totalEuros remitted should be the amount required to purchase thesterling pound cost of the event on the day of payment. All delegates must add VAT (17.5%) to their total conferencefees. VAT may be reclaimed by delegates from the taxauthorities after the event.

Registration FeesEntire Event (29 Oct – 1 Nov) FEE: £1,695 plus VAT (296.63) = £1,991.63Any 3 days of the eventFEE: £1,395 plus VAT (244.13) = £1,639.13Any 2 days of the eventFEE: £995 plus VAT (174.13) = £1,169.13Any 1 day of the eventFEE: £645 plus VAT (112.88) = £757.88

Book by 1 August and you can save £50 on each day,so if you book for the entire event you will receive a £200 discount.

If you are unable to attend you will be able to purchase a set of the proceedings on CD Rom for £300.

DISCOUNTS are available for group bookings of 3 or moredelegates made at the same time. This cannot be used inconjunction with other discounts. Discounts are also available tomembers of DAMA, IAIDQ, BCS and MPO. Contact IRM UKfor details.

The registration fee includes the conference lectures,documentation on CD ROM (no printed version of this will bemade available at the event), refreshment breaks and lunch oneach day of the conference. The cost of hotel accommodationis not included in the conference fee.

UK Delegates: Expenses of travel, accommodation andsubsistence incurred whilst attending this IRM UK conferencewill be fully tax deductible by the employer company ifattendance is undertaken to maintain professional skills of theemployee attending. Non-UK Delegates: Please check with yourlocal tax authorities.

Cancellation Policy: Cancellations must be received in writing at least two weeksbefore the commencement of the conference and will besubject to a 10% administration fee. It is regretted thatcancellations received within two weeks of the conference datewill be liable for the full conference fee. Substitutions can bemade at any time.

Cancellation Liability: In the unlikely event of cancellation of the conference for anyreason, IRM UK's liability is limited to the return of theregistration fee only. IRM UK will not reimburse delegates forany travel or hotel cancellation fees or penalties. It may benecessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers, date and venue of the conference.

Conference Location: Victoria Park Plaza Hotel239 Vauxhall Bridge RoadLondon SW1V 1EQTel +44 (0)20 7769 9999Fax +44 (0)20 7769 9998www.victoriaparkplaza.com

Hotel Accommodation Details: IRM UK in association with JP Events have arranged specialdiscounted hotel rates at the venue above and at other hotels nearby.

Email: [email protected] +44 (0)20 7428 9911Fax +44 (0)20 7428 9966www.jpeventsltd.com

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Payment Details: Please note that full payment or a purchase order is due prior tocommencement of the conferencePlease tick appropriate method of payment:❑ Cheque, drawn on a UK bank, enclosed for £ made payable to IRM UK Strategic ITTraining Ltd❑ Purchase Order Number❑ Bank Transfer (Please attach a copy of your bank transfer order to this booking) Contact IRMUK for our bank details on +44 (0)20 8866 8366. When paying by bank transfer, please ensurethat the order includes the following details: the Conference Title, the Delegate Name, and yourCompany Name. Please ensure the full amount is paid, including VAT.❑ Credit Card❑ American Express ❑ Visa ❑ Mastercard ❑ Eurocard ❑ DeltaPlease charge £ to my account

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29 October – 1 November 2007 Victoria Park Plaza Hotel London UK

Data Management and Information Quality Conferences 2007

How to Register

e-mail: [email protected] website: www.irmuk.co.uk/dm2007

Fax: +44 (0)20 8866 7966 Phone: +44 (0)20 8866 8366

Post: IRM UK, Bishops Walk House, 19-23 High Street, Pinner, Middlesex HA5 5PJ, UK

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