Improving corporate data quality through anomaly detection: A case study in the pharmaceutical industry

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dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorMalo, Pekka
dc.contributor.advisorKuosmanen, Timo
dc.contributor.authorWinberg, Oscar
dc.contributor.departmentTieto- ja palvelujohtamisen laitosfi
dc.contributor.schoolKauppakorkeakoulufi
dc.contributor.schoolSchool of Businessen
dc.date.accessioned2019-05-26T16:01:47Z
dc.date.available2019-05-26T16:01:47Z
dc.date.issued2019
dc.format.extent74 + 2
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/38117
dc.identifier.urnURN:NBN:fi:aalto-201905263203
dc.language.isoenen
dc.locationP1 Ifi
dc.programmeInformation and Service Management (ISM)en
dc.subject.keyworddata qualityen
dc.subject.keywordanomaly detectionen
dc.subject.keywordoutlier analysisen
dc.subject.keywordcategorical dataen
dc.titleImproving corporate data quality through anomaly detection: A case study in the pharmaceutical industryen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotMaisterin opinnäytefi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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