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[{"key": "dc.contributor.advisor", "value": "Pekkola, Samuli", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Pullinen, Aleksi", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2025-02-10T15:27:10Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2025-02-10T15:27:10Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2025", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/100147", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Data plays a significant role in modern business operations. However, data itself does not provide value to a company unless it can be reliably utilized, for example, to support decision-making. The reliability of data depends on several factors, one of which is data quality. Data quality has both direct and indirect impacts on various aspects, including decision-making and the development of artificial intelligence systems that rely on data collected by companies. Data quality can be measured, assessed, and improved using different methods. One such method is data profiling, which provides a clearer understanding of the data and its characteristics. This helps identify the root causes of potential errors and determine how to fix them. This study explores data quality, its measurement, and improvement from a theoretical perspective. It includes a literature review supported by empirical research and expert interviews on the outcomes of data profiling and data quality in general.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Data on merkitt\u00e4v\u00e4ss\u00e4 roolissa yritysten liiketoiminnassa nykyp\u00e4iv\u00e4n\u00e4. Data itsess\u00e4\u00e4n ei tuota yritykselle lis\u00e4arvoa, vaan sit\u00e4 pit\u00e4\u00e4 pysty\u00e4 my\u00f6s luotettavasti hy\u00f6dynt\u00e4m\u00e4\u00e4n esimerkiksi p\u00e4\u00e4t\u00f6ksenteon tukena. Datan luotettavuus riippuu monesta tekij\u00e4st\u00e4 ja yksi niist\u00e4 on datan laatu. Datan laatu vaikuttaa suoraan ja v\u00e4lillisesti moneen eri asiaan, joista yhten\u00e4 on p\u00e4\u00e4t\u00f6ksenteko, mutta toisena my\u00f6s esimerkiksi teko\u00e4ly, jota koulutetaan yritysten ker\u00e4\u00e4m\u00e4ll\u00e4 datalla. Datan laatua voidaan mitata, arvioida sek\u00e4 kehitt\u00e4\u00e4 eri tavoilla. Datan laadun tutkimiseksi on kehitetty erilaisia keinoja, joista yhten\u00e4 datan profilointi. Datan profiloinnilla datasta ja sen ominaisuuksista voidaan saada parempi kuva, ja n\u00e4in ollen my\u00f6s ymm\u00e4rt\u00e4\u00e4 mist\u00e4 mahdolliset virheet johtuvat ja kuinka ne voidaan korjata. Tutkimuksessa k\u00e4sitell\u00e4\u00e4n datan laatua, sen mittaamista ja kehitt\u00e4mist\u00e4 laajasti teorian pohjalta. Tutkimuksessa on toteutettu kirjallisuuskatsaus, jonka tueksi empiirinen tutkimus ja asiantuntijoiden haastattelut datan profiloinnin tuloksista.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2025-02-10T15:27:10Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2025-02-10T15:27:10Z (GMT). No. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "66", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.title", "value": "Datan laatu organisaatioissa: Profiloinnin rooli laadun arvioinnissa", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202502101936", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Master's Degree Programme in Information Systems", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tieteen maisteriohjelma", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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