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Page history last edited by PBworks 18 years, 5 months ago

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

Comments (1)

Anonymous said

at 6:30 am on May 3, 2006

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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