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UID:10000311-1776268800-1776272400@www.insightplatforms.com
SUMMARY:Can You Trust Your Data? A New Model for Data Quality
DESCRIPTION:This live webinar is in partnership with:\n\n\n\n\n\nMarket research data quality is under strain. This webinar with Dig Insights and DQC explains how independent verification and ecosystem-level signals reduce risk.\n\n\n\n\n\n\n\n\n\nComplete the form to watch the webinar recording\n\n\n\n                    Webinar Signup Form (#4)First NameLast NameEmailJob TitleCompanyCountrySelect CountryAfghanistanAland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Saint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBritish Virgin IslandsBruneiBulgariaBurkina FasoBurundiCabo VerdeCambodiaCameroonCanadaCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzech RepublicDemocratic Republic of the Congo (Kinshasa)DenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyIvory CoastJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKosovoKuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacao S.A.R.\, ChinaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth KoreaNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestinian TerritoryPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRepublic of the Congo (Brazzaville)RomaniaRussiaRwandaRéunionSaint BarthélemySaint HelenaSaint Kitts and NevisSaint LuciaSaint Martin (Dutch part)Saint Martin (French part)Saint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia/Sandwich IslandsSouth KoreaSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUgandaUkraineUnited Arab EmiratesUnited Kingdom (UK)United States (US)United States (US) Minor Outlying IslandsUnited States (US) Virgin IslandsUruguayUzbekistanVanuatuVaticanVenezuelaVietnamWallis and FutunaWestern SaharaYemenZambiaZimbabweTerms Acceptance By signing up\, you agree to the Event Terms\, which include consent to receive e-mail from Insight Platforms and event sponsors.View full Event Terms Submit            \n            \n\n\n\n\n\n\n\n\nMarket research data quality is harder to defend than it used to be. Professional survey takers can pass common checks\, AI-assisted answers can read well without being genuine\, and complex supply chains make it difficult to know where responses have come from. \n\n\n\nIn this session\, Dig Insights and the Data Quality Co-op (DQC) set out a model that treats data quality as a systems problem\, not a checklist. Dig describes steps taken inside its own research process\, including designing mobile-first surveys to reduce disengagement\, working with vetted sample partners\, and applying advanced analytics and AI detection to find inconsistencies within individual datasets. Dig also discusses using multiple sources\, including social conversation data\, to add context and reduce reliance on a single survey. \n\n\n\nDQC explains how independent verification can add a new layer of accountability. DQC uses platform-agnostic integrations\, a persistent respondent identifier\, and a respondent-level “data trust score” based on history and signals collected across the research ecosystem. The session also covers how shared quality signals can support supplier scorecarding\, deduplication\, reduced reconciliations\, and more consistent quality management across internal platforms and external partners. \n\n\n\nKey highlights\n\n\n\n\nHow shared quality signals can reduce reconciliations and support better supplier optimisation over time\n\n\n\nWhy professional survey takers\, AI-generated responses\, and fragmented supply chains increase risk for market research data quality\n\n\n\nThe limits of platform-level fraud detection when visibility is restricted to a single survey or supplier\n\n\n\nDig’s approach to quality\, including mobile-first survey design\, vetted sample partners\, and study-specific machine learning checks\n\n\n\nUsing multiple independent sources\, including social conversation data\, to validate and contextualise survey findings\n\n\n\nHow DQC’s independent verification uses respondent history and cross-ecosystem signals to score trustworthiness\n\n\n\n\n\n\n\n\n\n\n\nSpeakers\n\n\nKatie CasavantKatie Casavant is Head of Commercial at Data Quality Co-op (www.dataqualityco-op.com)\, where she helps elevate industry standards for transparency and trust in data.FIND OUT MORE Katie CasavantBob FawsonBob Fawson is Founder and CEO of Data Quality Co-Op (www.dataqualityco-op.com)\, the industry’s first independent first-party data quality clearinghouse.FIND OUT MORE Bob FawsonKevin HareKevin is a data-driven executive with 20 years of experience leveraging insights to drive decision making and strategy for some of the largest global brands.FIND OUT MORE Kevin Hare\n\n\nLearn More About Dig Insights and Data Quality Co-op (DQC)\n\n\nDig InsightsDIG is a tech-enabled insight and strategy consultancy that’s on a mission to help insights teams work smarter.FIND OUT MORE Dig InsightsData Quality Co-op (DQC)Data Quality Co-op (DQC) is an organization focused on providing insights into data quality for companies in the first-party data ecosystem.FIND OUT MORE Data Quality Co-op (DQC)
URL:https://www.insightplatforms.com/event/can-you-trust-your-data-a-new-model-for-data-quality/
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