Information Management in a nutshell

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1 Information Management in a nutshell Kjell Wittmaack, CKO Kjell.wittmaack@platon.net AUSTRALIA DENMARK FINLAND ICELAND NORWAY SWEDEN

2 My offer to you You get the chance to learn how to explain what Information Management is How to show that competitiveness and data are linked How to find the right place to start 2

3 Agenda Who is Platon and who am I? Competitiveness and data What is Information Management Finding the right place to start 3

4 Platon The leading Information Management services company in the Nordic region Focus Information Management Headquarters in Copenhagen, Denmark 160+ employees in 7 offices across the Nordic countries and Australia 300+ clients in 9 countries Founded 1st of July 1999 End-to-end Advisory, Training, Implementation Support, Outsourcing Independence Pure consulting services no software, no hardware no bias Methodology Platon Insight 9 years of proven practices 4

5 Platon Clients More than 300 clients in the Nordics, Ireland, Germany, Australia and Canada 5

6 Agenda Who is Platon and who am I? Competitiveness and data What is Information Management Finding the right place to start 6

7 Truth from the comics Dilbert Scott Adams 7

8 Truth from the field Cobber cable drums gone missing Product dimensions Product dimensions and Trucks Retail square footage and retail square footage Two brands One store Two cash registers 8

9 Felt the pain? Why is the same customer receiving two copies of the same campaign letter? Why does the subscription sales-assistant call a person who already subscribes to the paper? - My report shows that delivery is now 83% Why is - What? it impossible Mine says to make 98%! our forecasts just a little bit better? - Where did you get that from? Why are - From the my revenue Excel-sheet. figures drawn from et ERP system not the same as those drawn - YOUR from the Excel data sheet?! warehouse? - Sure do you have any better suggestions? Why can nobody tell me the exact definition of net-revenue? - No, but are you sure that delivery was only 83% of totally ordered? Who authorized - I really believe reuse so! of these campaign codes?! - But then all our improvement initiatives seem to have had a negative effect! Where - Don t earth know do guess we find so... the seems rightto information be the case. to We our were Balanced at 85% before. Scorecard? How well - Well are then we let s doing not compared spend more to time our or competitors? money on that! - Agree the numbers clealy show that it s a waste of money! What makes our customers happy? How in the world did we manage to develop TWO enterprise data warehouses?! Garbage in Garbage out!

10 One of the keys to competitive differentiators Business Process Differentiator Operational Excellence Product Leadership Customer Intimacy drives initiatives for Efficiency Innovation Differentiation + Service which requires Optimum processes Agility + Flexibility Creativity Ref: The Discipline of Market Leaders: Choose Your Customers, Narrow Your Focus, Dominate Your Market Michael Treacy and Fred Wiersma which requires Market insight Customer insight Insight in own business processes which requires Information availability Information usefulness Information consistency Information correctness

11 Master Data is shared across the business Management Division A Division B Division C Division D Dept 1 Dept 21 Dept 31 External Partner Information 11

12 Master Data usage through out the value chain Vendor Warehouse Product Store STORE ORDER FORM 12

13 Costs What happens if we do nothing "Anarchistic" "Structured" Unnecessary Cost of project portfolio Costs of business operations (countering risks) Time

14 Agenda Who is Platon and who am I? Competitiveness and data What is Information Management Finding the right place to start 14

15 Information Management The Platon definition To manage and utilize information as a strategic asset To implement processes, policies, infrastructure and solutions to govern, protect, maintain and use information To make relevant and correct information available in all business processes and IT-systems: for the right people in the right context at the right time with the right security and in the right quality To exploit information in business decisions, processes and relations 15

16 Unstructured information Structured information Platon s Business Areas Information Management Advisory Strategy Organization Architecture Technology selection Policies Processes Taxonomies Legal compliance Data analysis Change Management Business analysis Program Management Reporting & analysis Performance Management Decision Intelligence Data Warehousing Enterprise Portals Master Data Management Data Integration Information Lifecycle Management Solution development Modeling Design Development Test Project Management Training Enterprise Search Knowledge Management Document Management Methodology Information Exploitation Data Management Page 16

17 Information Management Architecture Data Management Data harmonization and integration Business Intelligence Governance Performance Management Reporting & analysis Decision Intelligence Lifecycle Management Portal and search Decision Meta Data Documents & mail Supplier value chain Management Finance Marketing HR IT Procurement Production Logistics Sales Service Customer value chain Action Data Warehouse Portal and search Master Data ERP CRM SCM ebiz... Data harmonization and integration Business transaction applications 17

18 Classifying your data all data shouldn t be treated the same way Meta Data Customer Name Report Information asset? Independent data Dependent data Artifacts Master Data Reference Data Intersecting Master Data Intersecting Data Transactional Data Analytical Data Company Artifacts Process Artifacts Personal Artifacts What is the difference between Master Data, transactional data, Business Intelligence, Meta Data, documents, s? What is a customer name? 18

19 The pillars of meaningful information Operational Systems Master Data parametre Opl. Produkt Planlagt STP PRO og pris opl. Produkt Afl.steder tjeneste og pris opl. Trp. ordre Husstandstal på stregkoder Customer Employee Currency Ordrer Product Realiserede 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 Adresse udtræk PLD K-BOKS Kundeantal pr. kundetype PMS BOA STA Bladtitler og fordeling Mængdestat.total pr statistikkode pr. prod.grp. Behandlede mængder DART BSP Realiseret timeforbrug Anmeldte partier PLS PIA mængder Normer Grundtider VÆGT Vejedata PRO MVA Beregn. Postmængder Timebehov STREGKODE- LÆSER Hændelse CDS Realiseret timeforbrug (Mødelister) Medarb.oplys. Aktivitetskoder Realiseret timeforbrug Syge statistik CPB PLS Historiske mængder CDS Vejedata Hændelse Melding Varsling Anmeld. Realiseret trafiktal Medarb. Opl. PIA CDS CCB Stamdata Masseparti oplysn. Faktisk forbrugt tid BSP Særlige ydelser FPS Anmeldt masseparti TID Mål-tal Medarb. oplysninger Prognoser PLS MDL DC Time behov Time behov Fravær Plan Plan Beregn. parametre Trp. ordre Post mængder Mønster specifikation Lønoplysninger PMS Planlagt mønster D96 Taste bilag Time behov Realiseret timeforbrug TML PFS Masseparti oplysn. PPS EDI Opsamlings prognoser Prognoser realiserede mængder Fordelingsnøgler Fordelingsnøgler m.m. SPB ODS Realiseret og planlagt timeforbrug BOS Transport ordrer Realiseret timeforbrug TNT Forsendelses stati Trp. ordre status Budgetteret Realiseret Forventet salg mængde/kr Forventninger Budgetteret salg og omkostninger Kundeopl. Trp.ordre status EDI faktura Pøs-sted Realiseret salg og omkostninger TNT EDI GTC (Vægt) GTP (Håndscanner) IMS Kundeopl. Realiseret salg KOS MSS Stregkode Hændelse Vægt Stregkode Hændelse EPG pakker MIS Akk. opl. om kunders portoforbrug Stregkode Hændelse Lokal Vægt del Country Kunde- og salgsopl. Kundeopl. FKS Indbetaling (Realiseret salg) PKV GTD CMB Salgsopl. Månedligt Realiseret aggregeret forbrug salg USF Realiseret salg STP 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 Gadeafsnit Postbokskunder Reolopdelinger Stavevarianter Stormodtagere OPD HUS Husstandstal Sorteringsopl. PAS Filial Skranketerminal Server Demografiske oplysninger DS Danmarks statistik OCR sorteringsmaskine VA Realiseret OCR Udbetalt løn Udbetalt løn PTS PTS Agregeret realiseret salg Månedstal Adresseopl. (Image) Hændelse PKS (Stor/Lille) Debitor krav Betaling RIS Postering Regnskabstransaktioner Skrankesalg LPD Regnskabstransaktioner STREGKODE- LÆSER Regnskabstransaktioner PTS TTS Dansk EMS-fors. beh. i udl. GEISCO Bestillingsoplysninger Udl. EMS-fors. beh. i Danmark Creates Updates Uses

20 Governance Managing Information Assets Business Processes Accountability Stewardship Information quality assurance Information usage Governance Information Management solutions Data Warehouse solutions Business Intelligence solutions Master Data repositories build-out Meta Data repositories buildout Data Harmonization, standardizatio n and synchronization Information assets Governance IT Development Projects Governance Legacy IT Systems Standardization Data Integration Maintenance Capabilities Data security Data creation and definition Data usage System acquisition requirements Data security

21 Linking business strategy with development efforts Business strategy Sets the long-term focus for the company Forms the basis for project portfolio management on a corporate scale Management requirements and initiatives Possibilities Information Management Program Sets the long-term strategy for managing Information as an asset Sets the scope for the projects Ensures that every project contribute to the overall picture Ensures synergies across projects and business areas Objectives, Priorities, priorities rules and scope and scope Solution projects Delivers specific solutions Creates fast and visible results Data harmonization Business Intelligence Data integration...

22 REALIZATION CHANGE DOCUMENTED FACTS GOVERNANCE POLICIES STRATEGY Information Management is part of a bigger picture convergence! BUSINESS INFORMATION APPLICATION TECHNOLOGY BUSINESS STRATEGY MASTER DATA ARCHITECTURE INTEGRATION ARCHITECTURE TECHNOLOGY ARCHITECTURE ENTERPRISE ARCHITECTURE STRATEGY BUSINESS INTELLIGENCE ARCHIITECTURE APPLICATION ARCHITECTURE TECHNOLOGY TRANSITION STRATEGY MASTER DATA TRANSITION STRATEGY BUSINESS INTELLIGENCE TRANSITION STRATEGY INTEGRATION TRANSISTION STRATEGY APPLICATION TRANSITION STRATEGY PROCESS PRINCIPLES MASTER DATA PRINCIPLES INTEGRATION PRINCIPLES TECHNOLOGY PRINCIPLES BUSINESS INTELLIGENCE PRINCIPLES APPLICATION DESIGN PRINCIPLES DATA CLASSIFICATION MODEL PROCESS GOVERNANCE MODEL M ASTER DATA GOVERNANCE MODEL APPLICATION GOVERNANCE MODEL TECHNOLOGY GOVERNANCE MODEL ENERGY MARKETS ORGANIZATIONAL CHART PROCESS LIST MASTER DATA LIST APPLICATION LIST TECHNOLOGY LIST PROCESS WHEEL ENTERPRISE INFORMATION MODEL APPLICATION LANDSCAPE TECHNOLOGY LANDSCAPE PROCESS LANDSCAPE APPLICATIONS' DATA MODELS DELIVERY PROJECTS SHORT TERM ACTIVITIES PROCESS REALIZATION MAP INFORMATION REALIZATION MAP APPLICATION REALIZATION MAP TECHNOLOGY REALIZATION MAP

23 Agenda Who is Platon and who am I? Competitiveness and data What is Information Management Finding the right place to start 23

24 Finding the right place to start OK, my company wants to start an Information Management Initiative, but What? How? Who? When?

25 We live in a time of change People Technology Information Equipment Capital Market conditions: Technological development Decreasing customer loyalty Changing consumer habits New market players Competition on same parameters Shorter product life cycles... The company Procurement Supply chain Development Sales Service Support Strategic responses: Mergers & acquisitions Process optimization Automation Outsourcing Extension of the value chain New business models Documenting compliance... Products and services The bottom line is increasing complexity leading to a growing need for insight, agility and sustainability 25

26 Market understanding The Information Management maturation process Insight Consistency Reuse Flexibility Efficiency Quality Agility 5. Optimized 4. Managed Information is managed and exploited as a strategic asset 1. Unaware No awareness of the business potential of information Super users do adhoc reporting about the past Integration is handled by the individual IT-project (point-topoint) 2. Reactive Starting awareness but no strategy Many fragmented BI solutions but no coordination New information silos are created (local Data Marts, OLTP systems etc.) Data quality issues solved down stream 3. Proactive From departmental projects to crossorganizational program BI competency center implemented Integration competency center implemented Data governance model implemented The vision is adopted and has a significant impact in all parts of the business CPM supports all significant processes Information architecture is implemented (EDW, Broker etc.) Master Data repositories and -services are implemented Pervasive Business Intelligence Meta data driven real-time integration across all ITsystems Data quality management integrated in the culture and in all business processes Information availability Data integration Data quality issues solved through fire fighting Distribution of maturity as of 2007 Data management 26

27 Everything starts and stops with the business case Put the business in the drivers seat Connect to key business initiatives Collect pain stories Sensitivity analysis Learn from others in the industry 27

28 How Information Management supports business strategy Support operational effectiveness through Corporate Performance Management Support Customer Relationship Management thru customer data capture and integration... Optimize process efficiency thru accurate and shared data Support operational efficiency thru performance management Reduce scrap and rework caused by bad data Optimize procurement thru supplier data integration Optimize assortment by eliminating bad performers through insight... Reduce costs Add value Create new reality Minimize risk Improve transparency to identify potential risks Improve transparency to support regulatory compliance Improve process quality by eliminating bad data Reduce risk of bad publicity caused by bad data... Support system and process harmonization in e.g. M&A s Create agility to support efficient product and market development Manage the supply chain thru cross-organizational data integration Create new competitive differentiators by leveraging insight... 28

29 Define the Information Management scope What should be shared? The Enterprise Division A Division B Division C Division D Division E IM Methodology IM Policies IM Policies Logical Architectures Logical Architectures Common data definitions Common data definitions Common data definitions Master Data Master Data Master Data Master Data IM System Landscape IM System Landscape IM System Landscape IM System Landscape 29

30 Successful Information Management is about Knowing your target Being Pragmatic Successful Information Management Understanding why it s your target Thinking holistically Ensuring Commitment 30

31 Plan a way to reach the vision Central management and oversight Establish Enterprise Information Model foundation Implement Master Data Governance Policy Plan for getting in control Step 1 Plan remaining next steps Step 2 Step 3 Plan for getting in control Step 1 Step 4 Step 2 Step Step Step Step 3 Step 4 Step Vision for Information Management Master Data Management Step 1 Plan for getting in control Business Intelligence Data Quality initiative

32 In summary The bad news There is no way around it you need to climb the maturity latter sooner or later. Your competitors will. Information Management is a complicated matter many dependencies ALWAYS focus your efforts on concrete business value, but don t ignore the long term focus. The good news The companies and the industry are maturing. Surprising similarities between challenges across countries and industries. Master Data and data quality is a safe bet if you are looking for business pain. You won t be out of a job anytime soon 32

33 Questions? Kjell Wittmaack Chief Knowledge Officer Platon

34 34

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