Your SlideShare is downloading. ×
Corporate Data Quality Management Research and Services Overview
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Corporate Data Quality Management Research and Services Overview

530
views

Published on

This presentation provides an overview of the research and services portfolio of the Business Engineering Institute (BEI) St. Gallen in the field of corporate data quality managemnet (CDQM). CDQM …

This presentation provides an overview of the research and services portfolio of the Business Engineering Institute (BEI) St. Gallen in the field of corporate data quality managemnet (CDQM). CDQM comprises topics such as data governance, data quality measurement, master data management, data architecture management etc. At the core of the research and service portfolio is the Competence Center Corporate Data Quality (CC CDQ). The CC CDQ is a consortium research project at the Institute of Information Management at the University of St. Gallen (IWI-HSG). Partner companies come from various industry and service sectors.

Published in: Business, Technology

0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
530
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
2
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Corporate Data QualityManagementResearch and Services OverviewProf. Dr. Boris Otto, Dr. Dimitrios GizanisJune, 2013
  • 2. © BEI St. Gallen – St. Gallen, June 2013, 2Business Engineering InstituteResearch and Services OverviewEngagement ModelsTable of Content
  • 3. © BEI St. Gallen – St. Gallen, June 2013, 3Business Engineering InstituteA spin-off of the University of St. GallenSt. GallenHEADQUARTERS2003FOUNDATIONProf. Dr. ÖsterleCHAIRMANProf. Dr. OttoHEAD OF RESEARCH &INNOVATION MANAGEMENTThomas ZerndtCEODivisionsCORPORATE DATA QUALITY MANAGEMENTSOURCING IN THE FINANCIAL INDUSTRYINDEPENDENT LIVING
  • 4. © BEI St. Gallen – St. Gallen, June 2013, 4ITInnovationsTransformationofthe EnterpriseBusiness Engineering – the model we apply to produceresultshttp://de.wikipedia.org/wiki/Business_Engineering
  • 5. © BEI St. Gallen – St. Gallen, June 2013, 5Business Engineering Forum 2013The Business Engineering Forum is anannual business conference attractingmore than 150 global leaders.11. – 12. October 2013Executive Campus HSG in St. Gallenhttps://be-forum.iwi.unisg.ch
  • 6. © BEI St. Gallen – St. Gallen, June 2013, 6Business Engineering InstituteResearch and Services OverviewEngagement ModelsTable of Content
  • 7. © BEI St. Gallen – St. Gallen, June 2013, 7Research and Services OverviewCompetence Center CDQConsulting ServicesTraining coursesCorporate Data LeagueAssessments & Benchmarking
  • 8. © BEI St. Gallen – St. Gallen, June 2013, 8Data quality is necessary to respond to a number ofstrategic business requirementsEnterpriseDivision 2Division 1 Division 3Business UnitsBusiness ProcessesLocationsDepartmentsBusiness UnitsBusiness ProcessesLocationsDepartmentsBusiness UnitsBusiness ProcessesLocationsDepartmentsRisk Management and «Compliance»Customer-centric business modelsIntegration of acquired businesses and business process harmonizationCorporate ReportingComplexity management
  • 9. © BEI St. Gallen – St. Gallen, June 2013, 9Complexity drivers pose challenges on data qualitymanagementCorporateData Quality“Big Data”RFID, customer loyaltyprograms etc.Globalized OperationsMultilingualism, “Follow thesun“-principle etc.“Taylorism”Segregation of data creationand data useConstant ChangeM&A, “Divestments”, ChangeManagementSizeRevenue Nestlé 2012: 92 billion CHFFederal Budget CH 2012: 64 billon CHF“Hyper-Connectivity”Social media, data supplychains etc.
  • 10. © BEI St. Gallen – St. Gallen, June 2013, 10Today, companies manage data quality purely in areactive modeLegend: DQ issuesData qualityTimeProject 1 Project 2 Project 3 No risk management possible No chance to plan and to control budgets and resources No target values for corporate data quality
  • 11. © BEI St. Gallen – St. Gallen, June 2013, 11The Competence Center Corporate Data Quality(CC CDQ) comprises more than 20 partner companiesAO FOUNDATION ASTRAZENECA PLC BAYER AG BEIERSDORF AGCORNING CABLE SYSTEMSGMBHDAIMLER AG DB NETZ AGDRÄGERWERK AG & Co.KGaAE.ON AG ERICSSON ABETA SA FESTO AG & CO. KG HEWLETT-PACKARD GMBH IBM DEUTSCHLAND GMBHKION INFORMATIONMANAGEMENT SERVICEGMBHMIGROS-GENOSSENSCHAFTS-BUNDNESTLÉ SA NOVARTIS PHARMA AG OSRAM GMBH ROBERT BOSCH GMBHSAP AGSCHWEIZERISCHEBUNDESBAHNEN SBBSIEMENS ENTERPRISECOMMUNICATIONS GMBH &CO. KGSWISSCOM ITSERVICES AGSYNGENTA CROPPROTECTION AGTELEKOM DEUTSCHLANDGMBHZF FRIEDRICHSHAFEN AGNB: Overview comprises both current and past research partner companies.
  • 12. © BEI St. Gallen – St. Gallen, June 2013, 12The CC CDQ responds to urgent issues How does Corporate Data Quality contribute to the strategic business objectives? How does our company compare to others in our peer group? How can we measure our performance in Corporate Data Quality Management? What are the costs and benefits of Corporate Data Quality? How can we establish Data Governance in the company? What is the appropriate degree of standards and regulation for our company? How do we achieve consistent understanding of corporate data? What is thebaseline of Corporate Data Quality? Which data architecture is the right one and how do we implement it? How do we benefit from innovative technologies (e.g. Social Media, Linked Data)?
  • 13. © BEI St. Gallen – St. Gallen, June 2013, 13The CC CDQ FrameworkStrategyOrganizationSystemCDQ ControllingApplications for CDQCorporate Data ArchitectureOrganizationfor CDQCDQ Processes andMethodsStrategy for CDQlocal globalMandateStrategy documentValue managementRoadmapGoals and targetsData quality metricsData GovernanceRoles andresponsibilitiesChangemanagementStandards &GuidelinesData life cyclemanagementBusiness metadatamanagementData-drivenbusiness processmanagementConceptualcorporate datamodelData distributionarchitectureAuthoritative datasourcesSoftware support(e.g. MDMapplications)System landscapeanalysis andplanning
  • 14. © BEI St. Gallen – St. Gallen, June 2013, 14Customers and partners benefit from an unmatchedpool of knowledge and expertise90+ Best Practice Presentations35 Consortium Workshops27 Partner Companies14 PhD Students1 Competence CenterStrategyStrategyStrategy for CDQStrategy for CDQSystemeSystemeApplications for CDQApplications for CDQCorporate Data ArchitectureCorporate Data Architecturelokallokal globalglobalOrganisationOrganisationCDQ ControllingCDQ ControllingCDQ Processes andMethodsCDQ Processes andMethodsOrganisationfor CDQOrganisationfor CDQStrategyStrategy for CDQSystemeApplications for CDQCorporate Data Architecturelokal globalOrganisationCDQ ControllingCDQ Processes andMethodsOrganisationfor CDQ850+ Contacts in the overall CC CDQcommunity180+ Members in the XING Community1150+ Bilateral Project WorkshopsNB: as of June 2013. Data covers period from 2006 until today.1) See www.xing.com/net/cdqm.
  • 15. © BEI St. Gallen – St. Gallen, June 2013, 15Achieved results provide a “tool box” for establishingCorporate Data Quality ManagementEFQM Excellence Model forData Quality ManagementData Quality ManagementStrategy Design MethodReference model for DataGovernanceMethod for establishing DataGovernanceMethod for integrating DQ inprocess managementMethod for specifying dataquality metricsMethod for master dataintegrationReference model forDQ Management software386DQ-Cockpit0 1000IIIIII386DQ-Cockpit0 1000IIIIIISponsorData OwnerCorporate DataStewardFachlicherDatenstewardTechnischerDatenstewardSDQM-KomiteeDaten-steward-TeamLebenszyklus-management fürStammdatenMetadaten-management undStammdaten-modellierungQualitäts-management fürStammdatenStammdaten-integrationQuerschnitt-funktionenAdministrationAStammdatenanlage StammdatenpflegeStammdaten-deaktivierungStammdaten-archivierungDatenmodellierung ModellanalyseDatenanalyse Datenanreicherung DatenbereinigungDatenimport Datentransformation DatenexportAutomatisierung Berichte SucheWorkflow-managementÄnderungs-managementBenutzerverwaltungMetadaten-managementBCDEF1 2 3 411111222223333 4MDSQuelle 1 Quelle 2 Quelle mZiel 1 Ziel 2 Ziel nMDSZiel 1 Ziel 2 Ziel nTransaktionKoexistenzStrategische Anforderungen und WertbeitragAProzesseB OrganisationC QualitätssicherungD ArchitekturEUmsetzungsplan (Transformation)F
  • 16. © BEI St. Gallen – St. Gallen, June 2013, 16The CC CDQ “knowledge pool” provides access to avariety of existing knowledge and expertise
  • 17. © BEI St. Gallen – St. Gallen, June 2013, 17The “CC CDQ Awards” recognize excellent resultsCDQ Good Practice AwardCDQ Excellence AwardApply for the CDQ AwardsOn-site visits and interviewsWinners are recognized at the annual Business Engineering ForumWinners are selected on basisof the assessment scoreWinners are selected by ajury1 (representatives fromboth scientific andpractitioner’s community)Jury Members (planned):• Prof. Dr. Andy Koronios (University of South Australia)• Henning Uiterwyk (Managing Director of eCl@ss)• Màrta Nagy Rothengrass (European Commission, Content and Technology Unit - Data Value Chain)• Bernhard Thalheim (Head of the German Chapter of DAMA International)• Frank Boller (VP SwissICT, Swiss ICT industry association)• Lwanga Yonke (International Association for Information and Data Quality)Starting 2014 Starting 2013
  • 18. © BEI St. Gallen – St. Gallen, June 2013, 18Research and Services OverviewCompetence Center CDQConsulting ServicesTraining coursesCorporate Data LeagueAssessments & Benchmarking
  • 19. © BEI St. Gallen – St. Gallen, June 2013, 19StrategyStrategyStrategy for CDQStrategy for CDQSystemsSystemsApplications for CDQApplications for CDQCorporate Data ArchitectureCorporate Data Architecturelokallokal globalglobalOrganisationOrganisationCDQ ControllingCDQ ControllingCDQ Processes andMethodsCDQ Processes andMethodsOrganisationfor CDQOrganisationfor CDQStrategyStrategy for CDQSystemsApplications for CDQCorporate Data Architecturelokal globalOrganisationCDQ ControllingCDQ Processes andMethodsOrganisationfor CDQBEI offers a comprehensive service portfolioStrategy Maturity Assessment & Strategic Roadmap Design Data Management Strategy Design Cost-/Benefit Analysis & Value PropositionOrganisation Data Governance Design & Implementation Data Process Design & Implementation Data Quality Cockpit Design & implementationAudits / Reviews, Coaching, Quality AssuranceOn-Boarding Data Stewards, TrainingsProject & Change ManagementSystems Metadata Design for Master Data Documentation System Architecture Design & Implementation Functional Requirement Analysis & Software Tool Evaluations Evaluation of Data Standards
  • 20. © BEI St. Gallen – St. Gallen, June 2013, 20Roadmap blueprint for master data managementdesign and implementationAs-isAnalysisStrategyDesignGovernanceDesignRoadmapDesign Detailed Specification OperationsOrganizational & Technical ImplementationControllingOrganization & PeopleProcesses & MethodsData ArchitectureApplications ContinuousRoll-out ContinuousData QualityMonitoring &ImprovementAnalysis & DesignControlling SystemImplementation Metrics, Cockpit,Goals, ReportsImplement & EstablishSLAs in the OrganizationGovernance Implementation (Roles and Processes),Integration in existing OrganizationAnalysis & DesignRoles and Resp.Implementation Data Maintenance & Business Support ProcessesAnalysis & DesignData ProcessesTechnical SystemBlueprintEvaluation of MDMSoftwareMDM SoftwareIntegrationAnalysis & DesignApplication Funct.Business Metadata ManagementDesign conceptualData ModelAnalysis & DesignData Flow ArchitectureDesign Data &Integration ArchitectureAnalysis & DesignCore Data Objects As-Is Analysis Strategic Guidelines Strategic Goals Data GovernanceConcept RoadmapStrategicAssessmentProject Management, Change Management & CommunicationData Cleansing
  • 21. © BEI St. Gallen – St. Gallen, June 2013, 21Research and Services OverviewCompetence Center CDQConsulting ServicesTraining coursesCorporate Data LeagueAssessments & Benchmarking
  • 22. © BEI St. Gallen – St. Gallen, June 2013, 22The Framework for CDQM is a standardized maturity andbenchmarking modelDownload PDF: http://benchmarking.iwi.unisg.ch/Framework_for_CDQM.pdfBestellung der Broschüre (Print-Exemplar): http://www.efqm.org/Getragen durch die Praxis
  • 23. © BEI St. Gallen – St. Gallen, June 2013, 23Assessment interview results – Overall resultProject Example29.0%35.9%35.7%36.7%36.8%42.7%40.3%46.0%36.3%45.6%0% 20% 40% 60% 80% 100%Key resultsCompliance ResultsPeople ResultsCustomer ResultsApplicationsData ArchitectureProcessesOrganizationControllingStrategyAchieved assessment levelEnablerandResultsMaturity Assessment0.000.100.200.300.400.500.600.700.801A 1B 1C 1D 1E 2A 2B 2C 2D 2E 3A 3B 3C 3D 3E 4A 4B 4C 4D 5A 5B 5C 5D 6A 6B 6C 6D 7A 7B 8A 8B 9A 9B 10A 10BStrategy Controlling Organisation Processes& MethodsData Architecture Applications CustomerResultsPeopleResultsComplianceResultsKeyResultsNeedforactionPriority AnalysisNeed for action Need to follow up (Threshold) Urgent need for action (Threshold)Key resultsCompliance ResultsPeopleResultsCustomerResultsApplicationsDataArchitectureProcessesOrganizationControllingStrategyIntended Improvement386CDQM Performance andMaturity Level0 1000IIIIII
  • 24. © BEI St. Gallen – St. Gallen, June 2013, 24The CDQM Framework has been applied in 40+ maturityand benchmarking projects across different industriesBeiersdorf AGCorning Cable Systems GmbHDrägerwerke AG & Co. KGaAElektrizitätswerke des KantonsZürichNovartis Pharma AGRobert Bosch GmbHSchweizerische BundesbahnenSiemens EnterpriseCommunications GmbH & Co KGStadtwerke MünchenSWM Services GmbHSwisscom IT Services AGTelekom Deutschland GmbHZF Friedrichshafen AG
  • 25. © BEI St. Gallen – St. Gallen, June 2013, 25BEI products and services support the wholeAssessment LifecycleConduct initial maturityassessment withrestricted scopeLearn how toapply the modelin yourorganizationDefine CDQMtargetsAssess CDQMPerformanceDeriveactions Analyze resultsBenchmarkwith othersExtend scope asrequiredAssessmentfrequency: once peryear (example)Maturity Assessment andBenchmarkingEmpowerment TrainingPerformance DashboardOption: Benchmarking DatabaseAssessor TrainingConsultingServicesSoftware asa Service(SaaS)TrainingsOption: Good Practice Database
  • 26. © BEI St. Gallen – St. Gallen, June 2013, 26The assessment and benchmarking process follows awell-proven procedure model Define scope ofassessment andinterviewees Adapt questionnaire Define andimplementcommunication planPlanning Assessment Conduct interviews Document resultsper interview Approveassessment byintervieweeAnalysis Compile overallassessment results Consolidatestrengths andweaknesses profile Document keyfindings and area ofimprovementsAcitivitiesBench-marking Define selectioncriteria and identifybenchmarking peers Collectbenchmarkingscores from peers Collect goodpractices from peersInnovation and learning6-8 weeks Analyzebenchmarking andassessment results Documentimprovementactions in aroadmap Present andcommunicateresults tostakeholdersActionplanning AdaptedQuestionnaire Communicationplan Interviewdocumentations Interview approvals Assessment results Priority analysis Strengths andweaknesses profile Benchmarkingreport Best Practicerecommendation(s) List of action(s) Roadmap Final reportResults
  • 27. © BEI St. Gallen – St. Gallen, June 2013, 27The Performance Dashboard supports the wholeassessment and benchmarking processReporting:Generateassessment profileincluding overallscore, priorityanalysis andstrengths andweaknesses report(PPT, PDF)ModelConfigurationManagement:Configurecompany-specificquestionnairesand selectintervieweesAssessment Management: Automatically send-out invitations and fill-out questionnaires in online or offline modeAssessmentManagement: Createand configure a newAssessmentSupport:Technical supportper mail and hotline
  • 28. © BEI St. Gallen – St. Gallen, June 2013, 28The Good Practice Database accelerates strategicaction planningIntegration: TheGood PracticeDatabase isintegrated in thePerformanceDashboardPeer Management:Respond to peerrequestsPeerManagement:Contact repre-sentatives ofcompanies toinitiate in-depthbest practicesharing andnetworkingGood PracticesDatabase: Learnfrom good practices(structured by theCDQM Framework)and align your datastrategy and actionplanning accordingly
  • 29. © BEI St. Gallen – St. Gallen, June 2013, 29Research and Services OverviewCompetence Center CDQConsulting ServicesTraining coursesCorporate Data LeagueAssessments & Benchmarking
  • 30. © BEI St. Gallen – St. Gallen, June 2013, 30BEI is setting up a trusted network of user companiesfor the exchange of business partner dataFirst-movers haveexceptionaladvantages Improve data maintenance processes through network collaboration Start collaboration with 6-8 trusted and renowned companiesGoals 30% lower maintenance efforts / costs by the use of verified data in the network First-movers define the rules for collaborationBenefitsKick-off:December 10, 2013 ProspectsCorporate Data LeagueCollectiveBusinessPartner Datareadwrite
  • 31. © BEI St. Gallen – St. Gallen, June 2013, 31Community-sourcing for business partner data reducesdata maintenance effort and increases data qualityC: Customer S: Supplier Three companies have the same supplier Each company maintains master data of the supplier 3 times redundant data maintenance effort and reference data costsAs-is situation: Redundant data managementCC CS The three companies share their supplier master data And they agree on collaborative data maintenance processes Reduced data maintenance effort and costsSolution approach: Community-sourcingCC CS The supplier (Data Owner) also contributes to the sourcing community Additional data maintenance effort and cost reduction Increased data quality because data is maintained “at source”Best-case option: Community-sourcing with Data OwnersCC CSData maintenance
  • 32. © BEI St. Gallen – St. Gallen, June 2013, 32Experience: Only few attributes cause about 70% ofbusiness partner data maintenance effortNumber of attributes Maintenance effortBusiness partner data attributesLegal name, legal form, legal addressBill-to / ship-to / ordering / EDI addressesLegal / organizational / geographical hierarchiesValue added tax (VAT) identification numberBanking dataSolvency rating, blacklisting informationCertificates (e.g. SAS70, ISO 9000)…Credit limitCurrency dataDunning termsBusiness contactsInventory posting dataCustomer / Supplier classificationProcurement and shipping conditionsPayment terms and methodsPartner functionsAccounting dataInsurance dataPricing data…5%30%70%95%Data scope forCorporate Data League
  • 33. © BEI St. Gallen – St. Gallen, June 2013, 33Data “Shareconomy” will increase efficiency ofbusiness partner data management Business partner data (e.g. addresses, legal hierarchies) is maintained by all companies Different companies have same business partners – especially companies of one industry sector Most high-maintenance business partner data attributes (e.g. addresses, hierarchies, blacklist flags)are not critical for competitive advantage Data quality requirements (e.g. accuracy, completeness, timeliness) are similar for most companiesOpportunities from a cross-company perspective Find better and/or cheaper address and compliance data providers Increase data management team and proactively monitor situation of business partners Force business partners to self-maintain e.g. address and banking dataOpportunities for a single company
  • 34. © BEI St. Gallen – St. Gallen, June 2013, 34Call for first-movers: BEI wants to start the CorporateData League as early as possibleAccelerationService available in 2014Customer-centric developmentIndividual functional requirements will be considered and implementedGovernance controlFirst-movers design and control collaboration governanceFinancial advantageService free of charge for 3 yearsQuick winsDeduplicated business partner dataBenefits for first-movers
  • 35. © BEI St. Gallen – St. Gallen, June 2013, 35Research and Services OverviewCompetence Center CDQConsulting ServicesTraining coursesCorporate Data LeagueAssessments & Benchmarking
  • 36. © BEI St. Gallen – St. Gallen, June 2013, 36BEI supports different kind of trainingsInternal TrainingsBasicTraining Courses:General information ondata managementaccording to theFramework forCorporate Data QualityManagementRole-specificTraining Courses:Customized trainingsfor specific roles, e.g.:- Data Stewards- Data Architects- Data OperatorsEmpower youremployees withtraining materialaccessible via aweb-based interfaceEmpower youremployees withtraining materialaccessible via aweb-based interfaceand vocallyexplained (recordedor live session)ClassroomTraining(role specific)OnlineTrainingsWebCastsClassroomTraining(general)
  • 37. © BEI St. Gallen – St. Gallen, June 2013, 37CDQ-Days 2013External public training courseDay 1 Day 2Framework forCorporate Data QualityManagementCorporate Data QualityManagementStrategy DesignPerformance Measurement ofCorporate Data QualityManagementDesign ofData Quality Metrics14. – 15. November 2013Radisson Blu Hotel, St. GallenTraining of data management professionals in CDQ methods and reference models
  • 38. © BEI St. Gallen – St. Gallen, June 2013, 38Business Engineering InstituteResearch and Services OverviewEngagement ModelsTable of Content
  • 39. © BEI St. Gallen – St. Gallen, June 2013, 39BEI has a unique service portfolioMDM/CDQMDomainKnowledgeSolution ApproachStrategy/Organization TechnologyhighLowBEINB: Positioning in the case of a partner company.
  • 40. © BEI St. Gallen – St. Gallen, June 2013, 40ConsultingBEI combines research and consulting expertiseResearchProf. Dr.Hubert ÖsterleProf. Dr.Boris OttoVerena Ebner Clarissa Falge Ehsan BaghiDr. DimitriosGizanisDr. KaiHünerMartinOfnerAndreasReichertMaxZurkindenDr. PeterMayerSimonSchlosserReneAbrahamDr. UlrichWieswegWolfgangDietrichPatriziaPescheBerndWiesing
  • 41. © BEI St. Gallen – St. Gallen, June 2013, 41BEI transfers scientific innovations in practical solutionsDEVELOP STANDARDIZE IMPLEMENTApplied Research Transfer Consulting
  • 42. © BEI St. Gallen – St. Gallen, June 2013, 42BEI offers a set of proven engagement modelsCompetence Center CDQProjects Individual ArrangementsCEngagement Model Services Included Annual Fee [CHF]Associate Membership A 75,000Standard Membership A and B 125,000Projects B Individual AgreementsIndividual Arrangements C License feesABB = Results are for example strategy design, specification of DQ metrics, data governance reviewC = License fees are related for example to the Corporate Data League
  • 43. © BEI St. Gallen – St. Gallen, June 2013, 43Why choose BEI?The Framework for CDQM is used by theEuropean Foundation for Quality ManagementBest practice transfer is a daily practiceBEI applies well-founded methods to accelerateprojectsBEI is independent, business-driven and hasstrong expertise in data managementBesides highly specialized employeesBEI provides a broad network of expertsStrategyStrategyStrategy for CDQStrategy for CDQSystemeSystemeApplications for CDQApplications for CDQCorporate Data ArchitectureCorporate Data Architecturelokallokal globalglobalOrganisationOrganisationCDQ ControllingCDQ ControllingCDQ Processes andMethodsCDQ Processes andMethodsOrganisationfor CDQOrganisationfor CDQStrategyStrategy for CDQSystemeApplications for CDQCorporate Data Architecturelokal globalOrganisationCDQ ControllingCDQ Processes andMethodsOrganisationfor CDQLiving proof that scientific innovation issuccessfully transformed into businessBEI has long lasting relationshipswith over 70 companiesBusiness Engineering is the basis forservices for more then 20 yearsFramework for CDQM:Has successfully been applied by 40+ international organizations.It is used as common language and vocabulary for networking, benchmarking and in projects.
  • 44. © BEI St. Gallen – St. Gallen, June 2013, 44Contacts & Resources on the Internethttp://www.iwi.unisg.chInstitute of Information Management at the University of St. Gallenhttp://www.bei-sg.chBusiness Engineering Institute St. Gallenhttp://cdq.iwi.unisg.chCompetence Center Corporate Data Qualityhttps://benchmarking.iwi.unisg.ch/CC CDQ Benchmarking Platformhttp://www.xing.com/net/cdqmCC CDQ Community at XINGProf. Dr. Boris OttoAssistant ProfessorUniversity of St. Gallenboris.otto@unisg.chPhone: +41 71 224 3220Dr. Dimitrios GizanisBEI St.Gallen AGDivisional Head CDQdimitrios.gizanis@bei-sg.chTel.: +41 76 583 1507