Presentation on theme: "Liz Crawford, GS1 GO Director Data Quality & GDSN"— Presentation transcript:
1 Liz Crawford, GS1 GO Director Data Quality & GDSN
2 Agenda Defining DQ Information Supply Chain Business Case: B2B / B2C DQ RecommendationsDQ Tools
3 “Be a yardstick of quality “Be a yardstick of quality. Some people aren't used to an environment where excellence is expected.”Steve Jobs“I know it, when I see it”Potter Stewart,Associate Justice US Supreme Court
4 Define Data Quality What DQ is not DQ is not a one-time solutionDQ is not linearDQ is not technology specificDQ is not a “thing” – like a program or application - it’s a perception
5 What is Data Quality? Definition Data Quality is a perception or an assessment of data's reliability and fitness to serve its purpose in a given context.Data are of high quality "if they are fit for their intended uses in operations, decision making, and planning" (J. M. Juran).Quality Control Handbook, New York, NY: McGraw-Hill, 1951
6 Information Supply Chain "In God we trust, all others bring data.“ Unknown“Quality is everyone's responsibility”W. Edwards Deming
7 Challenge: It’s The Data… Ventana Research conducted a multiple industry survey of large corporations and found the top five concerns regarding data to be:We spend more time reconciling data than analyzing it (33%).No one is accountable for the quality of information (17%).We cannot determine which spreadsheet has correct data (12%).It takes weeks to close our books (11%).We duplicate R&D efforts (6%).
9 DQ Business CaseIt is not necessary to change. Survival is not mandatory.”~W. Edwards Deming
10 How did we get here?Lack of data governance – an absence of ownership and accountability for key data assetsLack of identified internal / external “authoritative” data sources - leading to poor data accuracy within and across business areasComplex IT infrastructure (multiple systems, many LOBs)Silo-driven, application-centric solutions (TMS, SUS, HXA1)Multiple disconnected processes at local, regional, and corporate levels which may be in conflictTactical initiatives to “re-solve” data accuracy rather than understanding and addressing root causes
11 Data Quality Benefits – B2B £€¥$Shared handling of data between entities with different business rules and data definitions creates inconsistency and leads to poor data quality across the supply chain.Poor data quality negatively impacts the following key management areas:Enterprise IntangiblesEase of doing business with UsersDecision making - inaccurate information cannot support well informed decisionsOrganizational trustConfidence in enterpriseRiskRegulatorySystem investment & development (cannot be fully utilized)Integration (new systems, acquisitions)Fraud – exploitation of failures or loopholes within the systemCostsError prevention – (proactive)Error detection and correction – (reactive)Overpayments (claims/settlement costs)Rework /Increased workload/Increased process timesIncrease cost per volume (throughput, avg cost transaction, volume pricing)RevenuesImpaired forecastingErroneous bill-backs/InvoicingDelayed or lost collectionsImproving data quality reduces costs, increases operational efficiency, increases profitability and yields better business information for decision making.
12 “Quality in a product or service is not what the supplier puts in “Quality in a product or service is not what the supplier puts in. It is what the customer gets out and is willing to pay for. Customers pay only for what is of use to them and gives them value. Nothing else constitutes quality.” ~Peter Drucker “Retailers need to think of their business as a multi-channel environment that can potentially include mobile, online, and bricks and mortar stores. Winning with shoppers requires a consistent experience across channels …whether it be price, service, reviews, selection, style or other key attributes." John Burbank, President of Strategic Initiatives, Nielsen (PC World, 3/12/12)
13 Data Quality Drivers – “C2B” Big data – 2012 year of “Big Data”Technology is rapidly changingOne provider - Apple (Q1 FY 2012)37.04M iPhones (up 128%)15.4M tablets (up 111%)Test – (5 min) search for “shopping” apps22 general shopping aps30 brand specific
15 DQ Recommendations Do or do not… there is no try. ~Yoda Quality is never an accident. It is always the result of intelligent effort.John Ruskin
16 DQ is Foundational But, How Big a Foundation is Needed? Chrysler BuildingTaipei 101Not a formula: there is no E=mc2 Best practices are the foundation not the ceiling Your foundation is unique: Decisions regarding the breadth, depth, and timing of DQ will determine the scope and resource requirements for DQ
17 DQ Strategy Essential Elements Data managed at enterprise levelData ownership & accountability, clearly defined roles & responsibilitiesDevelopment efforts that affect critical business data championed from the top down and supported with change management processesAn enterprise forum to ensure end-to-end impact assessment of all data management effortsAdoption and enforcement of best practices including standardization, definitions, rules and business processes.A strategic approach to DQ generates accurate and reliable business information which becomes an enterprise asset.
18 OK, so what should we do ? Get Executive Buy-in DQ Assessment Look at Critical Business ProcessesInternal Lens – run the businessExternal Lens – supporting customer POVIdentify Key Attributes when missing or incorrect will cause those critical business processes to fail.Based on standardsFix the critical stuffQuick wins - Low hanging fruit /biggest bang for your buck, 80/20In house or external Third partySynchronize the dataInformation Governance Program (Long Term)Policies, procedures, information lifecycle, organization (roles responsibilities)
19 DQ Tools Help and Guidance Quality is not an act, it is a habit. AristotleQuality means doing it right when no one is looking.Henry Ford
20 How can GS1 Help? GS1 Program/ Projects Overview Owner Status User BaseData Quality Framework (DQF)Comprehensive platform of Industry DQ GuidelinesGS1 GOAvailable / ImplementedLocal MO’sData SourcesData Recipients3rd PartiesGS1 MO ProgramsVarious local support programs with many different capabilities and featuresLocal Country MOAvailable / In ProgressData Quality 2020Expansion of DQFIn Progress
21 GS1 Data Quality Framework A checklist of current best practices and desirable requirements for an optimal management of data quality.The Framework contains three main sections:Requirements for a good Data Quality Management SystemA product inspection procedureA self-assessment procedure for companiesDeveloped and endorsed by the Industry
22 Who can help me? Users - Your local GS1 MO Local DQ Programmes serving local needs. There is no interoperability between MO programmes but a common thread is the Data Quality Framework (DQF)From the GS1 MO Survey existing or planned DQ Programmes:86% have Awareness & Communication activities74% perform Community Management activities70% offer Training & Education activities52% with Consulting activities56% perform Validations & Integrity Checks43% have Product Inspections.30% have Accreditation & Authentication activities39% provide On-boarding toolsFull survey detail is on the GS1 DQ website
23 Who can help me? Your local GS1 MO GS1 MO DQ Programmes Inventory Summary results reflecting current and future activitiesData return by Category and MOTraining & EducationData Quality Awareness & CommunicationCommunity ManagementProduct Inspection sValidations & Integrity ChecksAccreditation & AuthenticationOn- boarding ToolsConsultingGS1 MOAustraliaBrazilCanadaChinaColombiaCroatiaFranceGermanyHong KongHungaryIndiaItalyJapanMexicoNetherlandsNew ZealandPolandRussiaSouth AfricaSpainSwedenUKUSTable keyActive; actions or services of this sort have been rolled-out and/or implemented.Under development; activities of this type are not yet fully operational but they are being developed and are expected to be released in the short term.Tentative; actions may tentatively occur in the short- term future but no work has been started. Plans may be not fully approved or may be still dependant on other factors.None; No plans or deployed activities exist in this area.
24 Who can help me? GS1 GO Training & Modules on DQ & DQF Online Self-Paced (updated)Hands on sessions – as requested by MOs,As there demand dictates we may schedule sessions in conjunction with I&S or regional forum events, or special sessions when required.
25 The Data Quality Framework PACKAGE is publically available All you need to use the Framework in one packageIncludes:The Data Quality Framework v3.0Implementation Guides (user’s manual!)Automated scorecard for self-assessmentAutomated scorecard for KPIsData Quality Introductory PresentationRead me
26 Data Quality Website and Library Data Quality Framework and support documentationCase studies, white papersData Quality Program Internal Implementation ExampleData Quality VideosLinks to Related Technical Documents on standards
27 "There is no substitute for knowledge.” Thomas A. Edison
28 Contact Details Liz Crawford Director, Data Quality & GDSN Princeton Pike Corporate Center1009 Lenox Drive, Suite 202Lawrenceville, NJ 08648TW