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GB ro u o o ount ki ps A ngvailableisc7-10 November2016DRadisson BluPortman HotelLondonCase Studies & Contributors Include: Benefits of Attending: Learn From Your Peers. The conference provides an interactive forum where Dataand BI Professionals can meet, discuss and debate how best to rise to the challenges facedby their organisations today and in the future. The 2015 conference attracted delegatesfrom 30 countries. Five Conference Tracks with More Than 60 Sessions with a Focus on CaseStudies. Learn from other organisations past successes and challenges from over 30 casestudies. The five tracks include a one day Big Data track and a one day Data Innovationtrack. Sixteen Half Day Workshops. Choose from an unparalleled range of workshops onspecific topics to get you quickly up-to-speed or fine tune your performance on Data andBI Essentials. Choose from introductory or advanced levels. Full Day Workshops. Choose from four full day conference workshops. Enhance yourin-depth knowledge and skills on Enterprise Data Management and BI best practices. Wide Variety of Topics Providing an Excellent Mix of Theory, Visions andPractical Implementations. Topics include Agile BI, Big Data Modelling, Data/Information Maturity Assessment, Data Quality, Logical Data Warehouse, Big DataPlatform Fundamentals, SQL and NoSQL, Data Protection Regulation, InformationGovernance, Data Funding, Predictive Analytics, Self Service & Collaborative BI, GettingBusiness Value from the IoT, Big Data Technology and Use Cases, Data Virtualisation,Information Architecture, Enterprise Data Integration, Data Governance, MDM andmany more. Data and BI Solution Providers. Discuss your Data & BI challenges with relevantsolution providers.IFC World BankThe British ArmyBarclaysMerck Sharp& DohmeVisa EuropeRoyal MailFordNordea BankEnvironment AgencyZurich UK GeneralInsuranceCity of AmsterdamIBMGE CapitalRaiffeisenbankVolkswagen PonFinancial ServicesGenerali BoehringerIngelheim Pharma Yorkshire BuildingSociety Group STANLIB Dublin CityUniversity Friesland Campina Computer Weekly DefenceInfrastructureOrganisation Cloudera Talenom Trifacta Sberbank CZ IDG Zipcar Int Sonovate OulalaGamesSpeakers Include: Rick van der LansSue GeuensMike FergusonJan HenderyckxMalcolm ChisholmWilliam McKnightChris BradleyLen SilverstonGraeme SimsionMike Simons Daragh O BrienNigel TurnerJos van DongenBrian McKennaGarry ManserGwen ThomasPeter ThomasNeil Storkey Glen Bell Anthony AlgminSponsors, Supported By & Media Sponsors: Attendee Satisfaction. Of those that replied 99% of the 2015 attendees said thatthey would recommend attending this conference to a colleague.Lt Col Mike ServaesData StrategyBritish ArmySue GeuensRhys DavidHead: Data StandardsHead of Business& Best PracticeIntelligence & IT DeliveryBarclays & DAMA IntGocompare.comRoberto MarancaManaging DirectorEnterprise DataGE CapitalPablo CasulloBI Development &Strategy LeadMerck Sharp & DohmeRick van der LansR20/ConsultancyLen SilverstonWilliam McKnightUniversal Data Models Consultant McKnightConsulting GroupGraeme SimsionInternational BestSelling Novelist (andFormer Data Modeller)Mike FergusonIntelligent BusinessStrategiesProduced By:In Association With:Hosted By:TechnologyEvaluation Centersirmuk.co.uk/edbi2016CDO Forum9 NovemberAttendance by invitationonly
KeynotesLeading Digital Strategy – Enterprise Data asan AssetSakari Jorma, Chief Digital Officer & CTO, TalenomDigital commerce has shown tremendous growth figures in recent years,while global penetration is still below 5% of total sales. Mobile commerce,business intelligence and smart infrastructure are key in driving companiesand consumers and ways of doing business. However, simply implementingor using digital technologies is not enough. In general, effective digitalstrategies are less about acquiring and implementing the right technologythan about reconfiguring your business to take advantage of the informationthese technologies enable. Companies must bring together varieties ofdigital technologies integrated across people, process and functions in orderto achieve competitive advantage.How do you harness data as an asset to prove that Digital strategy works?What are the elements that get the attention of senior leadership? Whatare the enablers? Culture – Understanding Digital strategy & the importance of dataand the freedom to experiment. “Failure is always an option” attitude People – Knowledge, expertise, willingness to risk Leadership – Empowerment, understanding, coaching, mentoringand risk taking Purpose – Why do we do this? Vision & strategyirmuk.co.ukSakari will explain how EA data drives results at Talenom, one of thelargest authorized accounting firms in Finland, using the CDO MIS.The Talenom CDO Management Information Systems (MIS) focuseson the management of information systems to provide efficiency andeffectiveness of strategic decision making including: What decisions C-level leaders need to make? What different data elements they need to see? Howtheoperationissteeredwiththedata?The Talenom Digital Services business unit, headed by Sakari Jorma, isoperated via direct connections between MIS capabilities & Businessoperations. They operate in a conventional – one could argue in an “oldfashioned business area”, of accounting. An average Accounting Companyin Finland has around 5-7% level of digitalization when it comes to thehandling of receipts, taxation, payroll data etc. So far one of Sakari’s mainfocuses has been automating and digitalizing Talenom’s main processesleading to the digitalization of materials as well. Today they are one of theleading digital accounting companies.You will hear: How EA data helps them to do this? What standardizations & governance elements are needed? What is the role of Data warehouse, BI and MDM in this?Fast Data: The Next Frontier of Big DataRick van der Lans, R20/ConsultancyIn the first stage of big data adoption, the focus was primarily on storingand analyzing massive amounts data. The focus was completely onvolume. Currently, organizations have started to enter the second stageof big data: fast data. Fast data is about streaming massive amounts ofdata and analyzing that same data instantaneously. It’s the next frontier ofbig data. It’s especially the Internet of Things (IoT) that’s pushing fast data.The IoT is about connecting devices to devices across the Internet. Thestream of data these intercommunicating devices can generate is massive.In these massive data streams valuable business insights can be hidden,deeply hidden. The business value of the IoT is in analyzing this data.Unfortunately, analyzing IoT data is not similar to analyzing enterprisedata for which data warehouses can be developed and easy-to-use datavisualization tools can be deployed. For example, IoT data is very crypticdata and to make sense of it, it has to be integrated with enterprise dataresiding in the enterprise data warehouse. Also, data has to be analyzedreal-time, and sometimes even before it’s stored, and a reaction may berequired instantly. It’s a new world. This keynote discusses the architecturalaspects of the IoT, guidelines on how to adopt IoT, and how to integrate IoTwith an existing business intelligence environment. How does fast data relate to the classic world of business intelligence anddata warehousing? A new architecture is required for the IoT Technologies involved in analyzing the IoT data stream2 How to integrate IoT data with data from the enterprise data warehouse The challenge of reacting real-time on incoming IoT data What is the relationship between Big Data and the IoT?Data Science and the Panama PapersMar Cabra, Editor, Data & Research UnitInternational Consortium of Investigative Journalists (ICIJ)The trove of files that make up the Panama Papers is likely thelargest dataset of leaked insider information in the history ofjournalism. Mar will discuss the unique challenges that ICIJ’s Dataand Research Unit encountered in analyzing this data. The overall sizeof the data (2.6 terabytes, 11.5 million files), the variety of file types(from spreadsheets, emails and PDFs to obscure and old formats nolonger in use), and the logistics of making it all securely searchablefor more than 370 journalists around the world are just a few of thehurdles they faced over the course of the 12 month investigation.Scaling out Data Operations in a Global BankAlasdair AndersonEVP Data EngineeringNordea BankBert OosterhofEMEA Field CTOTrifactaDr Richard HarmonDirector, EMEA Financial ServicesClouderaThe demand for data has never been higher and the supply provided bytraditional EDW platforms is as constrained as it ever was. Many enterpriseshave realised that without leveraging the power of Big Data technologyenterprises will fail to meet the demands of customers, executive and externalregulators. In this presentation Alasdair Anderson, EVP Data EngineeringNordea Bank will discuss the evolution Data Architecture from EDW throughHadoop 1.0 to the Enterprise Data Hub.The Enterprise Data Hub now formsthe data backbone of the bank providing data that support core regulatory,compliance and finance reporting. What is an Enterprise Data Hub? How is Business Data Operations supported on the Enterprise Data Hub? How can change be executed on a scale out platform to deliver improveddata qualityClosing Keynote: You Can Take It With YouGraeme SimsionInternational Best-Selling Novelist (and Former Data Modeller)Graeme Simsion’s career has taken him from computer operator, toprogrammer, DBA, data modeller, data manager, IT strategist, consultancymanager, business facilitator and, more recently, Hollywood screenwriter andNew York Times best-selling novelist. Graeme will talk about the generic skillsin design, management and consulting that have helped him make the transitionsand continue to be at the core of his work. You will learn: The practices most critical to implementing BI / ED initiatives – and writinga bestselling novel The key strategies for winning support The most valuable and portable skills to invest inGroup Booking Discount2-3 Delegates 10 per cent4-5 Delegates 20 per cent6 Delegates 25 per centView full conference programme on irmuk.co.uk/edbi2016
7 NOVEMBER 2016 - Half Day WorkshopsDW/BIDW/BIDW/BIEnterprise DataEnterprise DataEnterprise DataEnterprise DataBig DataMorning Workshops 09:30 - 12:45Designing theLogical DataWarehouseRick van der LansR20/ConsultancyThe Key to BigData Modelling:CollaborationLen SilverstonUniversal Data ModelsData Science inActionJos van DongenTholis ConsultingDW/BIDW/BIDW/BIMaster DataManagementWilliam McKnightMcKnight Consulting GroupCarrying Out aData/ InformationMaturityAssessmentSue Geuens, Head: DataStandards & Best PracticeBarclays & DAMA IntGetting Our HeadsInto the Clouds:Infinitely ScalableData ManagementAnthony AlgminUturn Data SolutionsWhat is QualityData, and Why DoWe Need It?Sophie AngenotQuaDataBig Data PlatformFundamentals –New Infrastructurein Your AnalyticalEcosystemMike Ferguson, IntelligentBusiness StrategiesEnterprise DataEnterprise DataEnterprise DataEnterprise DataBig DataAll Roads Lead toData FundingGwen ThomasCorporate Data AdvocateJennifer TrotskoHead, Data GovernanceOfficeSana Al-Hajj, ManagerIFC World Bank GroupBuildingProfessionalCompetenciesfor InformationManagementPractitionersChris BradleyData ManagementAdvisors LtdBig DataTechnology andUse CasesWilliam McKnightMcKnight ConsultingGroupAfternoon Workshops 14:00-17:15 AfterIntroducingAgile BusinessIntelligenceSustainablyRaphael BrangerIT-Logix AGGetting Readyfor the GeneralData ProtectionRegulation – AnEIM2.0 ApproachDaragh O BrienCastlebridgeModeling for SQLand NoSQLKenneth HansenAnalyticdomain LtdFrom Vision toCapabilities:Effective BuildingBlocks forInformationCentricOrganisationsJan HenderyckxInpulsCreating BetterBusiness DiagramsGlen BellVisual Explanations8 NOVEMBER 2016 - Conference Day 1 & Exhibits09:00-09:10Joint Conference Chair Introductions: Rick van der Lans, R20/Consultancy & Sue Geuens, DAMA International09:10-10:00KEYNOTE: Leading Digital Strategy – Enterprise Data as an Asset, Sakari Jorma, Chief Digital Officer & CTO,TalenomDW/BI11:20-12:10Enterprise DataEnterprise DataBig DataStrategies for ConsolidatingEnterprise Data Warehousesand Data Marts into a SinglePlatformWilliam McKnightMcKnight Consulting GroupData Management, Analyticsand People – An EternalGolden BraidPeter ThomasHead Of Data ManagementInsuranceProgressing an Enterprise WideData Accountability StructureFrom the Design Stage toOperational EffectivenessEllie Fitzpatrick, Data Governance Manager,Bethany Lancaster, Senior Data GovernanceAnalyst,Yorkshire Building Society GroupTurning the Telescope Humans as Data SystemsMike CulleyChartered and OccupationalPsychologistHow is Big Data Changing theParadigm of SportsValéry BollierCEOOulalaGames LtdGaining Business Value fromThe Internet of Things (IoT)and Critical Human FactorsLen SilverstonUniversal Data ModelsThe Benefits of a DataVirtualisation Solution: From DataVault to SuperNova and BeyondJos KuiperIT Enterprise ArchitectVolkswagen Pon Financial ServicesIt’s All Just Data GovernanceIsn’t It?Garry ManserHead of Data GovernanceVisa EuropeInformation Architecture as a Driverfor Enterprise Data Integration atBoehringer Ingelheim PharmaMartin Fleming, Enterprise ArchitectRainer Remenyi, Enterprise ArchitectBoehringer Ingelheim PharmaRight Sizing Big DataMichelle TeufelStrategic Change Leader - Businessand Technology Transformation for theDigital AgeLunch, Exhibit and Perspective Sessions12:10-13:4012:40-13:05Taming the Data Lake, Mark Pritchard, DenodoData Lakes and Master Data Management, Michal Klaus, Ataccama13:10-13:35Data Governance - Slim and Simple, Tom Barta, SemantaTrillium Software - Session TBC13:40-14:30KEYNOTE: Fast Data: The Next Frontier of Big Data, Rick van der Lans, R20/Consultancy14:35-15:25“Little Data” - GainingSustainable Insight ThroughSelf-Service BIJan HenderyckxInpulsAgile Analytics - Bringing Dataand Delivery TogetherRhys DavidChief Technology Officer, SonovateHow to Survive the CEO’sTrough of Disillusionmentwith DataRoberto Maranca, Managing DirectorEnterprise Data, GE CapitalData Quality – A DifferentPerspectiveNeil Storkey, Independent ConsultantPalash Banerjee, Associate Partner,IBMArchitectures for Big DataAnalyticsMarkus HelfertDublin City University15:50- 16:40Migrating our Enterprise DWfrom “Traditional” to DataVault BasedZoltan Csonka, Head of DW, GeneraliGabor Gollnhofer, DMS ConsultingModernising DataArchitectures Using DataVirtualization for Agile DataDeliveryDave Kay, Senior Data ConsultantZurich UK General InsuranceData Governance as a ForceMultiplierLt Col Mike ServaesData StrategyBritish ArmyFrom Data Blind to Data Funded:The IFC World Bank Group StoryGwenThomas, Corporate Data AdvocateJenniferTrotsko, Head, Data GovernanceOfficeSana Al-Hajj, Manager, IFCWorld BankPanel Discussion:Riding the Elephant:The Governance of HadoopEnvironmentsModerator: Brian McKenna, BusinessApplications Editor, ComputerWeekly16:45- 17:05Lightning Sessions - Four 5 minute sessions - What If Data., Jan Henderyckx Pie Charts Are Evil, Glen Bell Speak Up and Thrive, Lee Edwards There is No “Them”, Anthony Algmin17:05-17:35KEYNOTE: Data Science and the Panama Papers Mar Cabra, Editor, Data & Research Unit, International Consortium of Investigative Journalists (ICIJ)Drinks Reception and Exhibits17:35-18:309 NOVEMBER 2016 - Conference Day 2 & Exhibits09:00-10:00KEYNOTE: Scaling out Data Operations in a Global Bank Alasdair Anderson, EVP Data Engineering, Nordea Bank, Bert Oosterhof, EMEA Field CTO,Trifacta, Dr Richard Harmon, Director, ClouderaDW/BI10:30-11:2011:25-12:15DW/BIEnterprise DataEnterprise DataData InnovationThe DNA of a SurvivingBusiness Intelligence ProgramPablo Sebastian CasulloBI Development and Strategy LeadMerck Sharp & DohmeIs Data WarehouseAutomation a Necessity?Rick van der LansR20/ConsultancyFostering Data Babies- Engaging a YoungerGeneration of InformationProfessionalsTony Mazzarella, Analytics SolutionsArchitect, Financial Industry & DAMAData Quality Distilled: AnEssential Guide for DataManagement ProfessionalsJon EvansEQUILLIANBuilding a Data Infrastructurefor a Smart CityRutger RienksProgram ManagerCity of AmsterdamThe Trials,Tribulations andSuccesses of Building anEnterprise Customer DataWarehouseSophie Holland, Royal MailIntegrating Big Data Analyticsinto a Self-Service BIEnvironmentMike FergusonIntelligent Business StrategiesBecome a Data SuperheroRob ZageySenior BI AnalystSTANLIB12:15-13:4512:45-13:10Lunch, Exhibit and Perspective SessionsCreate BI Success with Effective Dashboards Carl Edwards, YellowfinDAMA Int & the DAMA Chapters - A Perspective, Sue Geuens and Chris Bradley, DAMA13:45-14:35How to Make Business ToolsPeople Want to Use and ActuallyUse Well: A Case Study in BI ToolDesign from ZipcarWill Sprunt, Head of AnalyticsZipcar International14:40-15:30BI Case StudySpeaker / Session TBC15:50-16:50Expert Panel: Building yourMDM in Financial Institutions Career in Dataand What’s Next?Moderator: Mike Simons,Lukas Mazanek, Head of Data &Associate Editor for CIO.co.uk,Information Competence Center,ComputerworldUK and Techworld, IDGRaiffeisenbankThe 5 Must Do’s for Guaranteed Data Governance Success, Patrick Dewald & Darius Clayton, DiakuKnowing What to Do By UsingData from the FutureHåkan EdvinssonInformed DecisionsThe Journey to a Data-DrivenCultureIan WallisHead of Data, Analytics & InsightDefence InfrastructureOrganisationFrom Small Experiments toViable Data GovernancePetr PodanyHead of Data & AnalyticsSberbank CZThe Data Renaissance: LeadingYour Business to the ModernAgeAnthony AlgminUturn Data SolutionsTaking the Internet of ThingsBeyond Data to ActionableInsightsHylke Peek, The BackboneNiels Naglé, Info SupportThe Quality in Master DataQualityDana JulinschiMaster Data Governance & Projects ManagerFriesland CampinaEthics in InformationManagement PracticesKatherine O’Keefe, Data Governance& Privacy ConsultantCastlebridgeOpen Data I Love It! But NotMy Data, It’s SpecialLisa AllenNational Data Integrity ManagerEnvironment AgencyCLOSING KEYNOTE: You Can Take It With You Graeme Simsion, International Best-Selling Novelist (and Former Data Modeller)10 NOVEMBER 2016 - Full Day WorkshopsDW/BI09:00-16:30Enterprise DataMaximising Business Value UsingPredictive Analytics, Self-Service andCollaborative BIMike FergusonIntelligent Business StrategiesMaking Enterprise Data Quality a RealityNigel TurnerGlobal Data StrategyEnterprise DataEnterprise DataSuccessful Implementation of a MasterData Management ProgrammeMalcolm ChisholmFirst San Francisco PartnersPreparation for the CertifiedData Management Professional(CDMP) Exams Leading toCertificationChris BradleyData Management Advisors LtdView full conference programme on irmuk.co.uk/edbi20163Agenda10:25-11:15DW/BI
Half Day Workshops - 7 NovemberBUSINESS INTELLIGENCEDesigning the Logical Data WarehouseRick van der Lans, R20/ConsultancyThe classic data warehouse architecture has hada long and successful run, but we’re starting tostretch its abilities to the limit. The logical datawarehouse is a modern alternative. It offers severalpractical benefits, including that it’s more agile,it makes adoption of big data easier and moreseamless, it allows a management the self-serviceBI component, it can more easily exploit new datastorage technologies such as Hadoop and NoSQL,and is more suited for operational BI applications.Mature technology in the form of data virtualizationservers exists to develop a logical data warehouse.Products from Cisco, Denodo, and RedHat, haveproven that large BI systems can be developedusing data virtualization. This workshop explainsthe architecture of a logical data warehouse anddiscusses numerous tips, tricks, and guidelines fordesigning and developing one, and a structuredapproach for migrating to a logical data warehouseis taught.The Key toCollaborationBigDataModelling:Len Silverston, President, Universal Data ModelsSome claim that in the age of Big Data, datamodelling is less important or even not needed.However, with the increased complexity of thedata landscape, it is actually more important toincorporate data modelling to understand thenature of the data and how they are interrelated. Todo this effectively, our approaches to data modellingneed to adapt to this complex environment. Oneof the key data modelling issues is how to fostercollaboration between new groups, such as datascientists, and traditional data management groups.There are often different paradigms, and yet itis critical to have a common understanding ofdata and semantics between different parts of anorganization. In this presentation, Len Silverston willdiscuss: How Big Data has changed the enterpriselandscape and affected data modelling How to conduct data modelling in a more ‘agile’way for Big Data environments How to collaborate effectively within anorganization, even with very different perspectivesData Science in ActionJos van Dongen, Principal Consultant, TholisConsultingData Science has been called ‘The Sexiest Job inthe 21st Century’ and is a hot topic in the worldof analytics. It promises breakthrough insights andskyrocketing ROI percentages, delivered by teamsof extremely smart people using state of the arttechnology. At least, that’s what analyst firms andtrade magazines want us to believe. Reality is thatmany organisations are just starting out with theirfirst ‘Big Data Labs’ or are struggling to movebeyond technology oriented proof of concepts. Thechallenge is how to put the business in the driver’sseat and use technology as an enabler and not forthe sake of technology alone. This session will lookat both concepts as well as practical approachesin moving towards becoming a data and analyticsdriven organisation. The following topics will be4covered: Concepts: what is Data Science and how is itdifferent from BI? Use Cases: Data Science success stories from avariety of sources Skills: can my BI team become a Data Scienceteam? (and how?) Process: how do you facilitate Data Sciencewithin your organisation? Tools & Technology: what are the technicalrequirements for a successful Data Science team?After this session you will be able to look beyondthe hype and will have a good understanding ofthe benefits of adopting data science within yourorganisation.Introducing Agile Business IntelligenceSustainably: Implement the RightBuilding Blocks in the Right OrderRaphael Branger, Senior BI Solution Architect, ITLogix AG“We now do Agile BI too” is often heard in todays’BI community. But can you really “create” agilein Business Intelligence projects? This workshopshows that Agile BI doesn’t necessarily start withthe introduction of an iterative project approach.An organisation is well advised to establish first thenecessary foundations in regards to organisation,business and technology in order to becomecapable of an iterative, incremental project approach.In this workshop you will learn, which buildingblocks you need to consider. In addition you willsee what a meaningful sequence to these buildingblocks is. Selected aspects like test automation, BIspecific design patterns as well as the DisciplinedAgile Framework will be explained in more andpractical details. Top 3 Take Aways: Identify what building blocks are necessary tointroduce Agile BI in a sustainable way Learn about the sequence of implementation ofthe building blocks for Agile BI Become aware of typical trap doors whenstarting Agile BIModeling for SQL and NoSQLKennethHansen,Analyticdomain LtdManagingConsultant,This workshop will be a sharing of experiencesand lessons learned in the trenches of projectsfor Lufthansa Airlines with references to previousprojects with a Telco and a shipping Company.Data Models are seen by many as an unnecessarylegacy but those based on Conceptual and Logicalmodels offer flexibility and future proofing” - theyare key to integrating and scaling data and queriesin both Relational and NoSQL Schemas and futureproofing. For the Agile organisation the modelsprovide a framework that reduces technical debtand the concerns over duplication and lack ofconsistent progress in developing enterprisecapabilities. Generic Industry Data Models can bevaluable but there is much more to modelling thanproducing a diagram of entities and relationships.Implementation requires generic structures arevalidated and customised and involves alignmentof all stakeholders and team members - a processthat is fraught with pitfalls. The speaker will shareexperiences and recommend key best practices inthe conference session including: Successful Conceptual Models can and should bememorised as drivers for detailed models - largermodels should be abstracted. Conceptual Models must be agreed at enterpriselevel by the business leaders and enterprisearchitects and then serve as the cornerstones ofLogical Models. Successful Conceptual and Logical Data Modelsestablish a common language for the Enterprise,Data Governance and all AnalyticsIn the 3 hour workshop Kenneth will detail theprocess recommended for validation, customisationand implementation of a generic industry LDM .Getting Ready for the General DataProtection Regulation – An EIM2.0 ApproachDaragh O Brien, Managing Director, CastlebridgeThe General Data Protection Regulation comesinto effect on the 25th May 2018. While at the core,the fundamental objectives remain the same, theGDPR introduces a number of significant changesfor organisation with regards to how they needto plan for, manage, govern, and apply data thatrelates to identified or identifiable individuals. Theimplications of GDPR are far reaching as it has seta new benchmark for global data privacy standards,not least with its extra territorial effect that meansnon EU-based organisations processing data ofEU residents will have to comply. In this intensivesession, internationally recognised expert Daragh OBrien will: Provide delegates with a pragmatic overview ofthe key provisions of the GDPR Explain the penalties and enforcementframeworks that will exist under GDPR (andwhich are being introduced already in certain EUMember States) Outline the impact of recent EU Court of Justicerulings on Data Privacy laws in the EU andelsewhere, and how that impacts the governance,planning, and management of information in yourorganisations Discuss the other changes in EU Data Privacylaws that are emerging, and the impact oninternational data privacy regulation Explore how agile principles and methods can beapplied to getting ready for GDPR Map out how frameworks such as the DMBOKWheel and the Zachman Framework, andmethodologies and principles from DataGovernance and Data Protection can help withimplementation of GDPR, including the executionof Privacy Impact Assessments Introduce the concept of EIM2.0 – EthicalInformation Management and how this cansupport and enable GDPR governance,particularly in the context of the Risk basedmodel for RegulationENTERPRISE DATAMaster Data ManagementWilliam McKnight, Consultant, McKnight ConsultingGroupThis workshop provides a practical guide toimplementing successful MDM from experience. Itcovers all the aspects of MDM, from justificationto architecture to data management and projectmanagement using agile principles. This classView full conference programme on irmuk.co.uk/edbi2016
Half Day Workshops - 7 Novembergives the common process, organisational andarchitectural focus for building strategies andimplementing master data management programssuch as those that have consistently, for many years,improved the productivity and performance forclients including global giants. How MDM provides benefits to an organisationand how to justify an MDM project The various architectural styles of MDM What MDM provides for hierarchy managementand data governance How to go to market for an MDM tool All the roles and responsibilities on an MDMproject How to manage the organisational change thatoccurs with MDM projectsCarrying out a Data / InformationMaturity AssessmentSue Geuens, Head: Data Standards & Best Practice,Barclays & President DAMA InternationalKnowing how mature your organization is andhow ready it may be for a data and informationmanagement program should be high on your listof priorities. After all, we have all heard “you don’tknow what you don’t know” before, haven’t we?But (and this is the big one), how do you assessthis maturity? Is there a magic bullet, a specialmethodology or a trusted approach that everyoneuses? One that you can go and buy somewhere? Suesays she doesn’t know of one specific one and hasbeen working with clients over a number of yearstrying to perform that miracle. Sometimes it hasworked and sometimes not. However, challengesare her bread and butter!Join Sue on a journey to assess your maturity forData and Information. But be prepared: there iswork to be done and you will walk away at the endof the workshop with a maturity assessment of yourorganization (or if you are a consultant with thatof a client of your choice!). You will also walk awayknowing that you can do this assessment again andagain and again, over as long a period as you wantto. This will, of course, allow you to measure yoursuccess! Please bring along a PC, a tablet, or - ifall else fails - a Smartphone. You will be taking theassessment. How important doing a regular maturityassessment is Take home the actual tool to do this Some new skills on how to get people to do theassessmentGetting Our Heads into the Clouds:Infinitely Scalable Data ManagementAnthony Algmin, Chief Data Officer, Uturn DataSolutionsThe cloud is not the future of enterprise computing:it’s the NOW of enterprise computing. We are inthe midst of a data awareness renaissance, and ourorganizations are demanding that we build analyticscapabilities to drive future success. Cloud technologiesare
Len Silverston Universal Data Models Data Science in Action Jos van Dongen Tholis Consulting Master Data Management William McKnight McKnight Consulting Group Carrying Out a Data/ Information Maturity Assessment Sue Geuens, Head: Data Standards & Best Practice Barclays & DAMA Int Getting Our Heads Into the Clouds: Infinitely Scalable
