Information Management

Transkript

1 Information Management KJELL WITTMAACK, CKO A holistic and structured approach KØBENHAVN OSLO ÅRHUS

2 Agenda Briefly about Platon Information Management defined Platon s Information Management Methodology

3 Platon anno B.C. Progress for a society lies in increased insight for its citizens

4 Platon A/S since 1999 A.D. Data Information Focus Information Management End-to-end Business Consulting, Implementation, Training and Support Independence Only Consulting services no software or hardware Quality and skill Learning and sharing are key elements to success Application Knowledge

5 Domain of skills Information Management Business Intelligence Customer Intelligence Performance Management Resource Management Reporting and Analysis Data Warehousing Enterprise Information Modeling Data Integration Meta Data Management Master Data Management Data Quality Management Business Integration Advisory Implementation Education Support Methodology

6 Development Platon was founded 1st of July 1999 Today we have nearly 100 employees in 3 offices across Scandinavia Platon is characterized by organic and sustainable growth

7 Agenda Briefly about Platon Information Management defined Platon s Information Management Methodology

8 What is Information Management? Information Management: It s It s s the the discipline of of ensuring that that relevant information is is available in in a usable form at at the the right time time in in the the right quality in in every mission critical IT IT system and and business process within the the company.

9 Information about what? What is fundamental on a daily level for running a company? Capital Equipment Machinery Commercial Products People Materials Buildings And what about Information? Information Information is is also also an an asset asset Describes Describes a a company s company s other other assets assets Used Used for for managing managing these these assets assets

10 Information as a strategic Asset What makes Information a strategic asset? Structured information becomes strategic if it is a key enabler in managing a company s s basic assets. Consistency and quality in information on an enterprise level moves into focus.

11 But how hard can that be? Are we not in control?

12 OCR-BR(sort.) OCR-PK(sort.) OCR-BR(sort.) OCR-PK(sort.) Systemoversigt September 1998 Udgivet af : Data Administrationen (FOS-SS/SA/DA) LBS Mængdestatistik Posthus Produktionsgruppe Mængdestatistikkode Husstandstal Modtagergrupper Bladadresseringsanlæg Gadenavn/Husnr RAB Posthus Produkt Produktionsgruppe Format Mængdestatistikkode Mængdestatistik FLY SAC Blad fortegnelse Opret, flyt og slet blade Gruppenr Rumnr Omdelingsnr Gadeoplysninger Mængde statistik Vejedata_antal Vejedata_vægt Posthus Produkt Produktionsgruppe Format Faktureringsgrundlag (manuel indtastning) BPO Adresse udtræk Adressens gruppenummer Nøgletal VÆGT (Bisco) Nøgletal (manuel indtastning) NGL BOA BLA K-BOKS DIA The breeding ground for Data Anmeldte Vægt partier GTC Internet PMS TNT Stregkode (Vægt) Hændelse Bladtitler FPS STP Systemoversigt EDI MVA Melding SPB Hændelser og Varsling September 1998 Quality Stregkoder fordeling Anmeld. PFS BOA PIA GTP Stregkode Forespørgsel Beregn. Trp. ordre Hændelse CDS TNT (Håndscanner) på forsendelse Udgivet af : parametre Opl. Stregkode samt GTD Data svaradministrationen (FOS-SS/SA/DA) Produkt Hændelse Planlagt STP PRO og pris opl. Produkt Lokal Vægt Afl.steder tjeneste og pris opl. Trp. ordre del Husstandstal på stregkoder GTT Ordrer Realiserede EPG Central mængder pakker Anmeldt del KRS masseparti CPB Gruppenr CPB Kundeantal pr. SCANNER Rumnr Kundeantal pr. kundetype MDL Omdelingsnr kundetype MDL Gadeoplysninger DC Adresse DART DART In SCANNER In most Wrong companies, values IT IT is is the the single biggest inhibitor to to DC udtræk Udbetalt løn Udbetalt løn Husstandstal Husstandstal Bestillingsoplysninger Agregeret Agregeret realiseret salg realiseret salg Demografiske Demografiske Udbetalt løn Blad- Udbetalt løn Gadeoplysninger oplysninger Gadeoplysninger oplysninger Gruppeoplysninger adresserings- Gruppeoplysninger Reolopdelinger e.g. invalid zip code, Stednavne PØS or person age DIA Reolopdelinger Stednavne PØS business Månedstal TTS Adresseopl. Husstandstal Gadeafsnit Husstandstal (Image) Gadeafsnit Postbokskunder OCR change anlæg Månedstal Adresseopl. Gartner (Image) DS RIS Postbokskunder RIS Reolopdelinger OCR DS Reolopdelinger Stavevarianter Danmarks Stavevarianter Danmarks Stormodtagere statistik Hændelse Udl. EMS-fors. Stormodtagere statistik Hændelse Postering beh. i Danmark Postering PKS PKS Dansk EMS-fors. Regnskabstransaktioner Adressens gruppenummer (Stor/Lille) Regnskabstransaktioner (Stor/Lille) beh. i udl. OPD Missing values Debitor OPD Debitor Skrankesalg krav Skrankesalg krav Gadenavn/Husnr LPD LPD HUS STREGKODE- HUS STREGKODE- Husstandstal Betaling LÆSER Husstandstal Betaling LÆSER Sorteringsopl. GEISCO Sorteringsopl. Mængdestatistik STA Mængdestat.total pr statistikkode pr. prod.grp. Behandlede mængder BSP PRO Mængdestatistik OCR RKL PAS VA For at minimere diagrammets kompleksitet, er nedenstående Duplicates PMS 'afhængigheder' ikke indtegnet. CDS STA STM ORG KRS DCS (H59) Blad fortegnelse DPB Kredskontor Postkontor Posthus Postdistrikt Land Dato Ugedag Adresse udtræk PLD BOS DIA D96 FAK FKS FLY GTT HUS MIS MSS MVA OCR OPD PIA PKV PLS PMS PPS PRO PST STM TTS USF VAP BSP D96 DPB IBS MOD MVA OPUS PMS PLS PPS PØS TID VAP BOA BSP D96 MVA ODS PMS PLS PPS KUN PST Centrale stamdata KST PDB timeforbrug Produkt opl. PLS Kundeoplysninger Aktivitetskoder Produktionsgruppe Stedkoder Driftsdøgn Kørsels datoer Produkter Funktionskoder DPB MVA PMS SPB VAP CDS PLS FKS MIS MSS USF BOS CDS D96 PIA PRO STA Skranketerminal OCR sorteringsmaskine CPR register DS Danmarks statistik Navne og adresser Virksomhedsnavne og adresser EDI PTS MOD CDS D96 PIA TOM Conflicts TID (Scanner) PRO STA TID BOA MOD STD ADG PIA VAP D96 VAP Land Adresse Modtager IMS BLA BOA FAK GTT K-BOKS IMS MVA ORG SPB TTS TTT VAP BOA OPD TID (Central) D96 DCS LBS MOD PDB PLS 'SOM' PTS Filial Server Regnskabstransaktioner Regnskabstransaktioner Signaturforklaring PTS Eksternt system PC system VA system MDC RISC/6000 eller Supermax system Mainframe system Alpha system Produktionsteknologisk udstyr Systemet findes flere gange på diagrammet RKL STM BOA PAS MVA FPS Melding SPB Varsling Anmeld. PFS Trp. ordre CDS Opl. Produkt Planlagt og pris opl. Produkt tjeneste og pris opl. Ordrer Anmeldt masseparti For at minimere diagrammets kompleksitet, er nedenstående 'afhængigheder' ikke indtegnet. PLS VA BOS DIA D96 FAK FKS FKS Kundeoplysninger MIS CPR KUN Kredskontor FLY MSS register Postkontor GTT USF Navne og AFS MOVE adresser HUS Posthus MIS Postdistrikt Land MSS Dato MVA Ugedag OCR OPD DS PIA Virksomhedsnavne PKV AFU Danmarks SAP og adresser R/2 PLS BOS statistik PMS Aktivitetskoder CDS PPS Produktionsgruppe D96 PRO PST Stedkoder PIA PST Driftsdøgn PRO STM STA TTS USF VAP Centrale Kørsels stamdata datoer PIA BSP D96 DPB CDS IBS D96 MOD Produkter PIA TID (Scanner) Name MVA KST Funktionskoder PRO OPUS STA PMS TID PLS PPS PØS DPB TID MVA VAP Produkt PMS GS SpA Canale opl. SPB PDB Docks Market BOA VAP STD MOD BOA BSP D96 CDS D96 MVA ODS RYE VALLEY PMS FOODS PLS VAP PPS DPB STP Beregn. parametre PRO Afl.steder Husstandstal Realiserede mængder e.g. missing customer information like address or country of residence CustomerNo CustomerNo CDS STA Name AGROVA FOOD AGROVA FOOD AGROVA FOOD ORG PMS Anmeldte partier Bladtitler og fordeling PIA ADG EDI PTS Skranketerminal OCR sorteringsmaskine OCR PMS LegacySystem AFD FRIDA MOD TNT Trp. ordre på stregkoder Land Adresse Modtager TNT EDI GTC (Vægt) GTP (Håndscanner) IMS BLA BOA FAK GTT K-BOKS IMS MVA ORG SPB TTS TTT VAP BOA OPD TOM TID (Central) LegacySystem AFE ITALY VAP KFCI MDInfo D96 DCS LBS MOD PDB PLS 'SOM' Kundeopl. salg MSS KOS PTS Filial Server Stregkode Hændelse Vægt Stregkode Hændelse EPG pakker MIS Kunde- og salgsopl. Akk. opl. om kunders portoforbrug Kundeopl. FKS Indbetaling ( salg) PKV GTD Lokal del Regnskabstransaktioner Regnskabstransaktioner CMB Salgsopl. salg Kundenummer Kundenavn Månedligt aggregeret forbrug USF salg STP Stregkode Hændelse Vægt Daglige summer til fakturalinier Signaturforklaring PTS GTT Central del Faktura til udprintning Postens Mailbureau TTS Dansk EMS-fors. beh. i udl. Eksternt system PC system VA system FAK GEISCO Internet MDC Kundeoplysninger Faktureringsgrundlag for registrerede pakker Træk på konti BG Bank Masseparti Masseparti Normer Kundenummer oplysn. Trp. ordre Normer oplysn. Kundenavn Trp. ordre Grundtider status Grundtider status Fordelingsnøgler Historiske nøgler STA Fordelings- Historiske mængder PMS mængder PMS Kundeopl. Mængde CMB statistik Mængdestat.total pr Postmængder Opsamlings Kunde- og Postmængder Opsamlings statistikkode pr. Timebehov prognoser Kundeopl. salgsopl. Timebehov prognoser Kundeopl. Prognoser Trp.ordre status Mængdestatistik prod.grp. Vejedata_antal Masseparti EDI faktura KOS Vejedata_vægt trafiktal oplysn. trafiktal STREGKODE- LÆSER Transport Kundeopl. Salgsopl. ordrer Nøgletal RAB Some reasons for poor quality VÆGT Prognoser Trp.ordre status Masseparti EDI faktura (Bisco) oplysn. STREGKODE- LÆSER Transport ordrer (manuel indtastning) Post Post CCB mængder VÆGT Hændelse PPS CCB mængder VÆGT Hændelse PPS Kundeoplysningegrundlag for Posthus NGL Vejedata Time Fakturerings- Vejedata Time behov registrerede Stamdata Prognoser Forsendelses Posthus Produkt behov pakker realiserede stati Produkt Produktionsgruppe BSP Stamdata Prognoser Forsendelses realiserede stati mængder Produktionsgruppe Format mængder Format CDS Fordelingsnøgler Mængdestatistikkode CDS Fordelingsnøgler TID TID m.m. m.m. Mønster ODS Månedligt Nøgletal Mønster MIS ODS specifikation aggregeret SAC forbrug Vejedata FAK Different (or no) standards timeforbrug specifikation Behandlede Mængdestatistik Hændelse mængder Vejedata Hændelse Posthus PLS PLS Produktionsgruppe Planlagt og planlagt salg Mængdestatistikkode Planlagt og planlagt mønster mønster timeforbrug timeforbrug Faktisk Faktisk Time DCS Time forbrugt forbrugt behov tid behov tid CDS Akk. opl. om salg Mængdestatistik e.g. different languages, kunders syntax, D96 LBS intervals, (H59) units, categorizations, CDS... portoforbrug Medarb. Time PLS Medarb. Time D96 Opl. behov BSP Opl. behov BSP Plan Blad Plan timeforbrug fortegnelse timeforbrug (Mødelister) Budgetteret Mængdestatistik (Mødelister) Budgetteret Medarb.oplys. Fravær Taste bilag Træk på Medarb.oplys. Fravær Taste Aktivitetskoder Forventet bilag Forventet konti Aktivitetskoder salg mængde/kr salg mængde/kr Mål-tal Mål-tal MSS FKS USF Plan Plan Medarb. Medarb. oplysninger oplysninger BOS BOA BOS Faktura til Opret, flyt Beregn. timeforbrug Indbetaling PRO Right values in the wrong fields udprintning og Beregn. timeforbrug ( salg) parametre salg BLA slet blade parametre Blad timeforbrug fortegnelse K-BOKS timeforbrug PIA Daglige PIA timeforbrug summer til Faktureringsgrundlag timeforbrug Postens BG Pøs-sted fakturalinier (manuel indtastning) Adresse Pøs-sted Mailbureau Bank salg udtræk salg Lønoplysninger og omkostninger Lønoplysninger og omkostninger e.g. zip code in the address field Husstandstal Modtagergrupper Forventninger Forventninger Syge Syge Særlige Særlige statistik ydelser PKV BPO statistik ydelser Budgetteret FLY Budgetteret salg og salg og TML TML omkostninger PLD omkostninger Bestillingsoplysninger Udl. EMS-fors. beh. i Danmark RISC/6000 eller Supermax system Mainframe system Alpha system Hændelser Stregkoder Produktionsteknologisk udstyr Systemet findes flere gange på diagrammet Forespørgsel på forsendelse samt svar

13 IM Challenges - A best practice Data Warehouse architecture Operational systems Data Warehouse area Analysis and reporting ERP EDW Logistics Production ODS Excel Meta Data

14 IM Challenges - What do we know about our information assets? Operational Systems Master Data Produkt Planlagt STP PRO og pris opl. Produkt Afl.steder tjeneste og pris opl. Trp. ordre Husstandstal på stregkoder Ordrer Customer Employee RealiseredeCurrency Product mængder LBS Mængdestatistik Posthus Produktionsgruppe Mængdestatistikkode Husstandstal Modtagergrupper RAB Posthus Produkt Produktionsgruppe Format Mængdestatistikkode Mængdestatistik FLY SAC Blad fortegnelse Opret, flyt og slet blade Gruppenr Rumnr Omdelingsnr Gadeoplysninger KRS Mængde statistik Vejedata_antal Vejedata_vægt Posthus Produkt Produktionsgruppe Format DCS (H59) Blad fortegnelse Mængdestatistik Faktureringsgrundlag (manuel indtastning) BPO Adresse udtræk Nøgletal BLA VÆGT (Bisco) Nøgletal (manuel indtastning) NGL Mængdestatistik BOA udtræk Adresse PLD K-BOKS Kundeantal pr. kundetype PMS BOA STA Bladtitler og fordeling Mængdestat.total pr statistikkode pr. prod.grp. Behandlede mængder DART BSP timeforbrug Anmeldte partier PLS PIA Normer Grundtider VÆGT Vejedata PRO MVA Beregn. parametre Postmængder Timebehov STREGKODE- LÆSER Hændelse CDS timeforbrug Vejedata Hændelse Melding Varsling Anmeld. trafiktal Medarb. Opl. timeforbrug (Mødelister) Medarb.oplys. Aktivitetskoder Syge statistik CPB PLS Historiske mængder CDS PIA CDS CCB Stamdata Masseparti oplysn. Faktisk forbrugt tid BSP Anmeldt masseparti Særlige ydelser MDL DC FPS PFS Trp. ordre Opl. TID Mål-tal Medarb. oplysninger Prognoser Post mængder PLS Planlagt mønster Time behov Time behov Fravær Plan Plan Beregn. parametre Mønster specifikation Lønoplysninger PMS D96 Taste bilag timeforbrug TML PPS EDI Opsamlings prognoser Masseparti oplysn. Fordelingsnøgler Time behov Prognoser realiserede mængder Fordelingsnøgler m.m. SPB ODS og planlagt timeforbrug BOS Transport ordrer timeforbrug TNT Forsendelses stati Trp. ordre status Budgetteret Forventet salg mængde/kr Forventninger Budgetteret salg og omkostninger Kundeopl. Trp.ordre status EDI faktura Pøs-sted salg og omkostninger TNT EDI GTC (Vægt) GTP (Håndscanner) IMS Kundeopl. salg KOS MSS Stregkode Hændelse Vægt Stregkode Hændelse EPG pakker MIS Akk. opl. om kunders portoforbrug Hændelse Lokal Vægt del Country Kunde- og salgsopl. Kundeopl. FKS Indbetaling ( salg) PKV GTD CMB Salgsopl. Månedligt aggregeret salg forbrug USF salg STP Stregkode Kundenummer Kundenavn Daglige summer til fakturalinier SCANNER Hændelser Stregkoder GTT Central del Faktura til udprintning Postens Mailbureau FAK Internet Forespørgsel på forsendelse samt svar Kundeoplysninger Faktureringsgrundlag for registrerede pakker Træk på konti BG Bank MDC Bladadresseringsanlæg Gadenavn/Husnr RKL Adressens gruppenummer DIA Husstandstal Gadeoplysninger Gruppeoplysninger Reolopdelinger Stednavne Husstandstal OCR OPD HUS Demografiske oplysninger Gadeafsnit Postbokskunder DS Reolopdelinger Stavevarianter Danmarks Stormodtagere statistik Filial Skranketerminal Server Husstandstal Sorteringsopl. OCR sorteringsmaskine PAS VA OCR Udbetalt løn Udbetalt løn PTS RIS LPD PTS Bestillingsoplysninger Agregeret realiseret salg Månedstal Adresseopl. (Image) PKS (Stor/Lille) Debitor krav Betaling Postering Regnskabstransaktioner Skrankesalg Regnskabstransaktioner STREGKODE- LÆSER Regnskabstransaktioner TTS Hændelse Udl. EMS-fors. beh. i Danmark Dansk EMS-fors. beh. i udl. PTS GEISCO Creates Updates Uses

15 IM Challenges - Ownership and responsibilities Ownership Manager Responsibility Information Information Owner Process Owner Information Steward IT System Owner Process Manager IT System Manager Quality and availability Administration & Operation Development projects Efficiency

16 Is this really necessary to address? Drivers The information age has just begun We are faced with new requirements New schools of management Is it a fair assumption that we by doing nothing different will get fewer data quality issues? can accommodate increasing cross-process information usage? will have a stagnant level of complexity in our IT systems? can support requirements for changing business processes at an increasing speed? can accommodate requirements for a higher degree of transparency in business processes and IT systems?

17 Seven Seven thousand years years of of history history would would suggest the the only only known known strategy for for addressing complexity and and change change is is ARCHITECTURE. John Zachman

18 Managing Information as a strategic asset This is a business issue The business owns the information The business owns the processes The business depends on quality information The business defines what quality is but IT must take ownership Linking enterprise strategy, IT architecture and development efforts Combine technology expertise with deep business understanding Take responsibility for business development It all boils down to a new philosophy for IT Let s put put the the I I back in in IT! IT!

19 Agenda Briefly about Platon Information Management defined Platon s Information Management Methodology

20 Why a methodology? To avoid costly mistakes To ensure quality deliveries To ensure long-term efficiency To have a common point of reference Avoiding dependencies on individuals To extend capabilities within budget

21 How? What kind of methodology do we need? To specifically address Information Management A holistic view on Information Management: An enterprise aimed approach Ensuring the long term perspective Ensuring short term solutions Ensuring day-to-day operations Addressing any process where information is captured, structured and utilized All these aspects must be handled by one common framework That framework can be found in Platon s Information Management Methodology

22 How? Addressing all aspects of Information Management Structured Working Processes Common Consistent Terminology Best Practices Information Management Methodology Knowledge Capture and Sharing Consistent and Quality work Organizational Roles and Responsibilities

23 How? Addressing all disciplines of Information Management Platon s Methodology covers all the Information Management Disciplines involving structured data: Information Management Business Intelligence Performance Management Customer Intelligence Resource Management Reporting and Analysis Data Warehousing Enterprise Information Modeling Data Integration Meta Data Management Business Integration Master Data Management Data Quality Management

24 How? Thinking architecture holistically Business Integration Integration Business Intelligence Performance Management Customer Intelligence Resource Management Data Warehouse Plan Control Meta Data Finance Marketing HR IT Procurement Production Logistics Sales Service Master Data Act ERP CRM... External Partners Operational Systems Integration * High-level conceptual architecture for structured information

25 How? A natural development Business Value Integrated Information Management Fragmented Business Intelligence Managed Holistic Holistic Proactive Reactive Unaware Maturity

26 How? Structures in 3 Required tasks are divided into Program Solution Projects Strategy, mission, program management, concepts and standards constituting a common framework Operations Realization of program strategy through concrete solution projects, guided by the common framework. Running and maintaining the output of Solution Projects on a day-to-day basis.

27 How? Linking business strategy with realization Business strategy Sets the long-term focus for the company Forms the basis for project priorities on a corporate scale Management requirements and initiatives Possibilities Information Management Program Sets the long-term strategy for managing Information as an asset Describes the scope for the projects Forms the basis for project priorities within the IM domain Ensures synergy across projects and business areas Objectives, priorities and scope Solution projects Delivers specific solutions Creates fast and visible results Data harmonization Business Intelligence Data integration...

28 How? The Program Addresses all cross-project enterprise level issues through Perspectives What technology components are required, and what should the infrastructure look like (OLAP, ETL, data-profiling, quality tools, integration tools, etc.)? What kind of information architecture is required, and how should it be build (Addressing Data Warehouse, Master Data, Integration and Meta Data)? What are the business-related goals of the Information Management initiative? What organizational units, roles, competences are required (Business Intelligence, Integrations, Program Board, etc.)? What procedures, rules, standards and methods should be in place in order to support the Information Management initiative (e.g. data governance, project management, naming standards, etc.)? How is the Program established, developed and sustained over time?

29 How? The Solution Projects Addresses general project management disciplines as well as subject-specific development disciplines: Plug-Ins Time

30 How? The Solution Projects General project management disciplines What must be in place before we continue the project (skills, planning, risk analysis etc.) What did we learn from the project? Should something be improved for the next time and do we need to follow up on project goals? Initiated by a charter How should the project controlled and managed day by day after the kick off?

31 How? The Solution Projects The Methodology supports 4 main areas of Information Management Solution Projects by means of Plug-ins: Business Intelligence Projects Master Data Management Projects Meta Data management Projects Business Process Integration Projects

32 How? The types of Solution Projects Business Intelligence Solution Projects Contain guidelines on all the disciplines of developing a Data Warehouse and Business Intelligence frontend solutions. Set in the context of an overall program-defined architecture Master Data Management Solution Projects Describes how to run projects that build Master Data Management solutions including Harmonization, Synchronization, Governance etc. Meta Data Management Solution Projects Details how to run projects that capture, integrate and utilize Meta Data across disparate sources Business Process Integration Describes how to run projects that integrate business processes in terms of integrating data and functionality across systems based on business rules.

33 How? Detailing Solution Projects: Plug-ins Example: The Business Intelligence Solution Project Plug-in Contains 4 phases: Analysis Design Development Implementation Each consisting of a number of activities: Design Front-end Solution Design Data Mart Design EDW Analyze Source Systems Design ETL to EDW Design ETL to Data Mart Develop Test Plan

34 How? - Operations The methodology supports running and maintaining the Information Management Solutions on a day-to-day basis. This is divided into: Governance Maintenance Support Production Make sure that data and entities are owned, quality is kept at a high level, and usage is allowed and encouraged according to plans. Do all the housekeeping on data and structures, and maintain the back-end environment as a whole. Execute dataextraction, transformation and load jobs. Help to find and correct errors and malfunctions, and help users with functionality and/or data questions.

35 How? The structure of the methodology The key building block is the Activity In Activity What How Who When Out What How Describes what the activity is all about in plain text Guidelines: Step-by-step directions on how to perform the activity Techniques: Supplementary cross-activity step-by-step directions Who Role descriptions including responsibility, skills and people assignments In/Out Deliverables Typically Office templates including aligned table of contents

36 How? The structure of the methodology Activity When When What How Who How In Out

37 How? The structure of the methodology The methodology describes all roles involved in activities related to Information Management in terms of responsibilities, skills and activities to take part in (including who has those roles) Roles Activities Types of Involvement Business Analyst Business Intelligence CoC Manager Business Intelligence Supporter Business Process Owner Business Project Manager Business User Chief Information Officer Data Custodian Data Governance Coordinator Data Modeler Data Quality Technician Data Warehouse Architect Data Warehouse Manager Database Administrator Enterprise Information Modeler ETL Developer Front-end Solution Developer Information Asset Owner Integration Architect Activity Activity Y Activity Z Design Data Mart Activity Participates Is responsible for Participates as a designer Reviews Approves

38 Lets see the beast!

39 Closing Take-a-ways Consistent management of your company s information assets do not come about on its own Regardless of your level of ambition you must know your target Take one step at a time but always in the right direction Technology is no longer the issue.

40 Kjell Wittmaack