Welcome to the DAMA Symposium & Wilshire Meta-Data Conference Trip Report Wiki!





Sunday, April 23, 2006



3:30 pm - 6:45 pm

W1: Working with Corporate Politics to Help Data Management Succeed

WorkingWithCorporatePolitics

W2: Business Rules: What You Need to Know from A to Z

BusinessRules

W3: Actionable Solutions for Data Governance, Stewardship & Meta-Data: Workshop

ActionableSolutions

W4: Universal Patterns in Data Modeling

UniversalPatterns

W5: How to Win Friends and Influence People with Painless Data Model Reviews

HowToWinFriends

W6: Metadata Roadmap

MetadataRoadmap

W7: The Intel Metadata Program: A Best Practices Case Study

IntelMetadataProgram

W8: How to Build a Data Warehouse in a Day

HowToBuild

W9: Taxonomy Development and Implementation

TaxonomyDevelopment

W10: Data Management 101

DataManagement101



7:00 pm - 8:00 pm

How Data Management Supports the CIO

HowDataManagementSupports

Oh No! Not Another @%&? Compliance Requirement!

OhNoNotAnother

Conceptual Data Modeling: Resisting the Urge to go Physical

ConceptualDataModeling

Securing Sensitive Data

SecuringSensitiveData

The Rise and Fall of an Enterprise-wide Semantic Model: A Case Study

RiseAndFall

A Revolution in Data Governance and Metadata Management at NDCHealth.

RevolutionInDataGovernance




Monday, April 24, 2006



8:30 am - 4:45 pm

T1: Enterprise Architecture Principles and Values--Straight from the Source!

EnterpriseArchitecturePrinciples

T2: Logical Data Modeling

LogicalDataModeling

T3: Danger, Danger! Bad Data Ahead!

DangerDanger

T4: Developing a Sustainable Enterprise Data Strategy

DevelopingSustainableEnterprise

T5: BPM 101: An Introduction to Business Process Management and BPM Systems

IntroductionToBusinessProcess

T6: Effective Management of Master Data

EffectiveManagementOfMasterData

T7: Managed Metadata Environment Full Life-Cycle Roadmap

ManagedMetadataEnvironment

T8: The Business of Metadata

TheBusinessOfMetadata

T9: Crossing the Bridge from Unstructured Data to Structured Data and the Data Warehouse Environment

CrossingTheBridge

T10: Consulting Skills for Data Professionals

ConsultingSkills



5:00 pm - 6:00 pm

Build or Buy a Metadata Repository?

BuildOrBuy

Applying the TOGAF Methodology to Enterprise Architecture

ApplyingTheMethodology

Collaborative Functional Requirements Development for Large Fixed Bid Applications

CollaborativeFunctionalRequirements

DAMA's CDMP: A Way of Differentiating Yourself Professionally

WayOfDifferentiatingYourself

Enterprise Wide Data Integration and Master Data Management

EnterpriseWideDataIntegration

RFID Data Management

DataManagement

How Enterprise Information Integration Can Add Value to an Enterprise Reporting Architecture

HowEnterpriseInformationIntegration

Leveraging Meta Data to Automate the ETL Process

LeveragingMetaData

Metadata Integration: Best Practices

MetadataIntegration




Tuesday, April 25, 2006



7:30 am - 8:30 am

AllFusion ERwin Special Interest Group - Tips, Tricks & Suggestions

AllFusionSpecialInterestGroup

Metadata Professionals Organization SIG Meeting

MetadataProfessionalsOrganization



9:00 am - 10:00 am

KEYNOTE "The Future Is Not What it Used to Be"

KeynoteTheFuture



10:30 am - 11:30 am

Phoenix Rising: It was a dark and stormy night...

PhoenixRising

Managing Business Complexity

ManagingBusinessComplexity

Data Modeling Contentious Issues

DataModelingContentiousIssues

Harmonizing the ISO 11179-3 and CWM Metadata Standards

HarmonizingThe

Enforcing Data Quality Through Data Lineage Metadata

EnforcingDataQuality

Using Metadata to Deploy Successful Enterprise Marketing Systems

UsingMetadataToDeploy

Safely Migrating Legacy Systems: A legal-risk averse approach

SafelyMigrating

Metadata Integration: Vendor Panel (Part 1)

MetadataIntegrationPart1

Standards Certification

StandardsCertification



11:45 am - 12:45 pm

The Evolution of Data Management at the FAA

EvolutionOfDataManagement

Leveraging Legacy Data

LeveragingLegacyData

Putting the I back in IT

PuttingTheIback

Enterprise Information Integration: A Pragmatic Approach

EnterpriseInformationIntegration

Bridging The Gap - Increasing Semantic Awareness In Today's Information Systems

BridgingTheGap

Semantic Seeds: Maintainable Configuration Dataload using Ontologies

SemanticSeeds

Being a good ERP customer

BeingGoodCustomer

Metadata Integration: Vendor Panel (Part 2)

MetadataIntegrationPart2

Speedy Complex Changes

SpeedyComplexChanges



2:00 pm - 3:00 pm

ERP Data Models for OUR Enterprise

DataModelsForOurEnterprise

Taking Data Quality Metrics to the Boardroom: a Case Study

TakingDataQualityMetrics

Understanding Subtypes/Supertypes: The Data Modeler's Most Important Construct (Part 1)

UnderstandingSubtypesSupertypesPart1

Strategic Planning for Master Data Management

StrategicPlanningFor

Building Metadata with What You Have Around the Office

BuildingMetadataWith

Using Metadata to Drive ETL Processing

UsingMetadataToDrive

Manufacturing Supply Chain Analytics: Information Integration Techniques for Increased Business Effectiveness (Part 1)

ManufacturingSupplyPart1

Semantics: What it Means for Data Professionals

SemanticsWhatItMeans

Custom Standard Elaborations

CustomStandardElaborations



3:30 pm - 4:30 pm

The Common Data Architecture in Perspective

TheCommonDataArchitecture

Management is Not Enough: A Consolidated, Enterprise-Level Data Governance Framework

ManagementIsNotEnough

Understanding Subtypes/Supertypes: the Data Modeler's Most Important Construct (Part 2)

UnderstandingSubtypesSupertypesPart2

Questing for the Grail: The Post-mortem of a Federated Metadata Management Project

QuestingForTheGrail

Genentech Customer Master - An MDM/CDI Implementation

GenentechCustomerMaster

Managing Metadata at the Veterans Health Administration: A Case Study in Sharing a Metadata Registry

ManagingMetadataAtThe

Manufacturing Supply Chain Analytics: Information Integration Techniques for Increased Business Effectiveness (Part 2)

ManufacturingSupplyPart2

Semantics: The Semantic Web

TheSemanticWeb

Management Maelstrom

ManagementMaelstrom




Wednesday, April 26, 2006



7:15 am - 8:15 am

S-Score: A New Tool for Standardizing Disparate Data Quality Measurements

NewToolForStandardizing

Data Modeling, RDF, and OWL

DataModeling



8:30 am - 9:30 am

Survival of the Fittest: Data Management at the Crossroads

SurvivalOfTheFittest

How does a Business Analyst Work With the Data Architect and Database Administrator?

HowDoesBusinessAnalyst

A Data Administration Success Story at Elkay Manufacturing or You Don't Know What You've Got Till It's Gone

DataAdministrationSuccessStory

Enterprise Business Meta-data - A Starting Point

EnterpriseBusinessMetadata

Data Warehousing and Semantics: How Do They Play?

DataWarehousingAndSemantics

Information Integration for Science Intelligence

ScienceIntelligence

Show Me the Numbers: Communicating Effectively with Charts

ShowMeTheNumbers

Data Modeling Education and Practice: What's Being Used and What's Being Taught

DataModelingEducationAndPractice

Resources - the ‘New’ Data Column

TheNewDataColumn



10:00 am - 11:00 am

How a Data Dictionary Spawned an Enterprise Model

HowDataDictionary

Enterprise Information Architecture at Nokia Using Universal Data Models: A Case Study

EnterpriseInformationArchitectureaAtNokia

Ebusiness – From Presence to Transformation: A Data Architecture Journey

EbusinessFromPresenceToTransformation

Meta-Data Implements Your Enterprise Architecture

MetaDataImplements

Automated Metadata Utilization in the BI Environment

AutomatedMetadataUtilization

Wikipedia with an Attitude: Collecting and Using Business Semantics

WikipediaWithAnAttitude

Information Visualization for Discovery and Analysis

InformationVisualization

Metadata Research - Syntactic, Semantic, and Pragmatic Perspectives

MetadataResearch

Metaframework Metamodels

MetaframeworkMetamodels



11:10 am - 12:10 pm

This Old Warehouse

ThisOldWarehouse

FEA DRM in Motion: Pioneering the DRM Implementation in the Federal Government

PioneeringThe

The Future: eXtreme Data Warehousing

TheFutureeXtremeDataWarehousing

Meta Data Web Services for Performance

MetaDataWebServices

Inside the BPMN: What OMG's Business Process Modeling Notation Is and Is Not to Data Management

BusinessProcessModeling

XML Design for Form and Function

DesignForFormAndFunction

Best Practices: The BMO Story (Part 1) - Developing & Implementing an Enterprise-wide Information Management Program

BestPracticesPart1

New Research and Thinking in Advancing Data Quality Initiatives

NewResearchAndThinking

Integration for Implementation

IntegrationForImplementation



1:15 pm - 2:15 pm

Data Warehousing - A Case Study: Finding Success After Failure

FindingSuccess

It's All About the Data

AllAboutTheData

From Survivor to Activist - A Case Study of Data Management at the California Department of Education

FromSurvivorToActivist

Managing Oracle's Metadata - What your DBA Doesn't Want You to Know

ManagingOraclesMetadata

Vocabularies: Ontologies Specialized for Data Architecture

OntologiesSpecialized

Using Metadata For Semantic Interoperability: caCORE and the NCI’s Cancer Biomedical Informatics Grid (caBIG)

SemanticInteroperability

Best Practices: The BMO Story (Part 2) - Information Classification, Security, Privacy & Metadata Challenges

BestPracticesPart2

Teaching Data Management

TeachingDataManagement

Generating Applications from Models

GeneratingApplications



2:30 pm - 3:45 pm

KEYNOTE Everything is Miscellaneous (or the social significance of metadata)

EverythingIsMiscellaneous



5:30 pm - 6:30 pm

PowerDesigner SIG

PowerDesignerSig

Advanced Methodologies of Implementing Data Governance

AdvancedMethodologies

Managing Data For Long Retention Periods: Requirements and Challenges

LongRetentionPeriods

Rochade SIG

RochadeSig

Pursuing a Data-Focused Career

DataFocusedCareer

Expressing, Validating, and Implementing Advanced Constraints in Data Models

ExpressingValidatingAndImplementing

ER/Studio Special Interest Group

StudioSpecialInterestGroup

SIG on Federal Government Data Management

FederalGovernmentDataManagement




Thursday, April 27, 2006



8:30 am - 9:30 am

The Rodney Dangerfield of Data Architecture – Data Profiling, It Gets No Respect

TheRodneyDangerfield

The IT Value Chain Enabled: Data and Process Perspectives

ValueChainEnabled

The Future of Data Management

FutureOfDataManagement

Strategies for the Reluctants: Enabling Metadata Development

StrategiesForTheReluctants

Semantics in Data Warehousing and Integration Associatives Data Modeling and ISO Standards

SemanticsInDataWarehousing

Oil Industry Supply Chain Management Using English Business Rules Over SQL

OilIndustrySupplyChain

A Proposal for Developing Undergraduate and Graduate Model Curricula for Data Management in Synergy with the Information Systems Model Curricula

UndergraduateAndGraduateModelCurricula

Are you Programming Primitives?

ProgrammingPrimatives



9:50 am - 10:50 am

Who Said DMO?

WhoSaid

A Matter of Corporate Survival: A Proven Pragmatic Approach of Aligning Data Architecture, Information Architecture, and BI Support with Business Strategy, Vision, and Direction

MatterOfCorporateSurvival

Business Process and Data Modeling Integration in a Project for Stabilization and Rehabilitation

StabalizationAndRehabilitation

De-mystifying the Relationship between Web Services, Service Oriented Architecture and Data

DemystifyingTheRelationship

Connection and Dispersion: Meta Data Driven Taxonomy Development

ConnectionAndDispersion

Master Data Mgmt & Enterprise Data Warehouse – A Case Study of Implementing an Enterprise Data Hub

MasterDataMgmt

450 Data Modelers Can't Be Wrong

DataModelersCantBeWrong

The Week That Was

TheWeekThatWas



11:10 am - 12:30 pm

KEYNOTE What Do Data Management and Hollywood Have in Common? “More Than You Think!”

DataManagementAndHollywood



2:00 pm - 5:00 pm

S1: Making DM Relevant to the Enterprise & Keeping Your Job

RelevantToTheEnterprise

S3: How to Design, Build, and Use an Ontology--A Guide for Data Management Professionals

HowToDesignBuildAndUse


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  • Recent comments:
    Paul Agnew:A very enjoyable experience. The level of expertise and insight of the attendies was of the highest level. The conference was well run. All around it was a enjoyable professional experience.
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