Leveraging data in organizational decision making

Digitalisaation myötä dataa tuotetaan ja on saatavilla enemmän kuin aiemmin. Dataa voidaan hyödyntää organisaatiollisessa päätöksenteossa. Dataohjautuva päätöksenteko vaatii toimia kuten työntekijöiden kouluttamista tai työntekijöiden palkkaamista riittävän osaamisen saavuttamiseksi liittyen dataohj...

Full description

Bibliographic Details
Main Author: Autio, Eeli
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:eng
Published: 2021
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/75821
_version_ 1826225810806145024
author Autio, Eeli
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Autio, Eeli Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Autio, Eeli Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Autio, Eeli
datasource_str_mv jyx
description Digitalisaation myötä dataa tuotetaan ja on saatavilla enemmän kuin aiemmin. Dataa voidaan hyödyntää organisaatiollisessa päätöksenteossa. Dataohjautuva päätöksenteko vaatii toimia kuten työntekijöiden kouluttamista tai työntekijöiden palkkaamista riittävän osaamisen saavuttamiseksi liittyen dataohjautuviin metodeihin. Dataohjautuvan päätöksenteon implementointi voi muovata organisaation liiketoimintamallia. Tässä kirjallisuuskatsauksessa avataan mitä dataohjautuva päätöksenteko on, kuinka sitä voidaan hyödyntää ja mitä organisaatiolta vaaditaan sen hyödyntämiseksi. Tärkeimmät löydökset olivat, että dataohjautuvan päätöksenteon omaksuminen johtaa parempaan päätöksentekoon ja parantaa organisaation suoriutumista. Dataohjautuva päätöksenteko johtaa myös johdonmukaisempiin päätöksiin. Tutkimuksessa tuli ilmi myös negatiivisia tuloksia kuten algoritmien käyttöön ja yksilöllisen datan keräämiseen liittyvät eettiset ongelmat. Due to digitalization, there is more data produced and available than before. Data can be leveraged in organizational decision making. Data-driven decision making requires actions such as educating or hiring employees with skills and knowledge about methods and concepts related to data-driven methods. Implementing data-driven decision making into an organization can fundamentally change the organizations business model. This literature review explains what data-driven decision making is, how it can be utilized and what is required from an organization to utilize it. The most important findings were that adoption of data-driven decision making leads to better decision making and enhances the performance of an organization. Data-driven decision making also leads to more consistent decision making. There were also important negative findings such as ethical problems regarding the use of algorithms and gathering of personal data
first_indexed 2021-05-21T20:00:38Z
format Kandityö
free_online_boolean 1
fullrecord [{"key": "dc.contributor.advisor", "value": "Taipalus, Toni", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Autio, Eeli", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2021-05-21T04:21:10Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2021-05-21T04:21:10Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2021", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/75821", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Digitalisaation my\u00f6t\u00e4 dataa tuotetaan ja on saatavilla enemm\u00e4n kuin aiemmin.\nDataa voidaan hy\u00f6dynt\u00e4\u00e4 organisaatiollisessa p\u00e4\u00e4t\u00f6ksenteossa. Dataohjautuva\np\u00e4\u00e4t\u00f6ksenteko vaatii toimia kuten ty\u00f6ntekij\u00f6iden kouluttamista tai ty\u00f6ntekij\u00f6iden palkkaamista riitt\u00e4v\u00e4n osaamisen saavuttamiseksi liittyen dataohjautuviin\nmetodeihin. Dataohjautuvan p\u00e4\u00e4t\u00f6ksenteon implementointi voi muovata organisaation liiketoimintamallia. T\u00e4ss\u00e4 kirjallisuuskatsauksessa avataan mit\u00e4 dataohjautuva p\u00e4\u00e4t\u00f6ksenteko on, kuinka sit\u00e4 voidaan hy\u00f6dynt\u00e4\u00e4 ja mit\u00e4 organisaatiolta vaaditaan sen hy\u00f6dynt\u00e4miseksi. T\u00e4rkeimm\u00e4t l\u00f6yd\u00f6kset olivat, ett\u00e4 dataohjautuvan p\u00e4\u00e4t\u00f6ksenteon omaksuminen johtaa parempaan p\u00e4\u00e4t\u00f6ksentekoon ja\nparantaa organisaation suoriutumista. Dataohjautuva p\u00e4\u00e4t\u00f6ksenteko johtaa\nmy\u00f6s johdonmukaisempiin p\u00e4\u00e4t\u00f6ksiin. Tutkimuksessa tuli ilmi my\u00f6s negatiivisia tuloksia kuten algoritmien k\u00e4ytt\u00f6\u00f6n ja yksil\u00f6llisen datan ker\u00e4\u00e4miseen liittyv\u00e4t eettiset ongelmat.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Due to digitalization, there is more data produced and available than before.\nData can be leveraged in organizational decision making. Data-driven decision\nmaking requires actions such as educating or hiring employees with skills and\nknowledge about methods and concepts related to data-driven methods. Implementing data-driven decision making into an organization can fundamentally change the organizations business model. This literature review explains\nwhat data-driven decision making is, how it can be utilized and what is required from an organization to utilize it. The most important findings were that\nadoption of data-driven decision making leads to better decision making and\nenhances the performance of an organization. Data-driven decision making also\nleads to more consistent decision making. There were also important negative\nfindings such as ethical problems regarding the use of algorithms and gathering\nof personal data", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2021-05-21T04:21:10Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2021-05-21T04:21:10Z (GMT). No. of bitstreams: 0\n Previous issue date: 2021", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "24", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "data-driven decision making", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "organizational decision making", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "data-analytics", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Leveraging data in organizational decision making", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202105213082", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "p\u00e4\u00e4t\u00f6ksenteko", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "organisaatiot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "decision making", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "organisations (systems)", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
id jyx.123456789_75821
language eng
last_indexed 2025-02-18T10:54:31Z
main_date 2021-01-01T00:00:00Z
main_date_str 2021
online_boolean 1
online_urls_str_mv {"url":"https:\/\/jyx.jyu.fi\/bitstreams\/176d9574-7244-4c1e-81dd-cfea97e282ae\/download","text":"URN:NBN:fi:jyu-202105213082.pdf","source":"jyx","mediaType":"application\/pdf"}
publishDate 2021
record_format qdc
source_str_mv jyx
spellingShingle Autio, Eeli Leveraging data in organizational decision making data-driven decision making organizational decision making data-analytics Tietojärjestelmätiede Information Systems Science 601 päätöksenteko data organisaatiot decision making organisations (systems)
title Leveraging data in organizational decision making
title_full Leveraging data in organizational decision making
title_fullStr Leveraging data in organizational decision making Leveraging data in organizational decision making
title_full_unstemmed Leveraging data in organizational decision making Leveraging data in organizational decision making
title_short Leveraging data in organizational decision making
title_sort leveraging data in organizational decision making
title_txtP Leveraging data in organizational decision making
topic data-driven decision making organizational decision making data-analytics Tietojärjestelmätiede Information Systems Science 601 päätöksenteko data organisaatiot decision making organisations (systems)
topic_facet 601 Information Systems Science Tietojärjestelmätiede data data-analytics data-driven decision making decision making organisaatiot organisations (systems) organizational decision making päätöksenteko
url https://jyx.jyu.fi/handle/123456789/75821 http://www.urn.fi/URN:NBN:fi:jyu-202105213082
work_keys_str_mv AT autioeeli leveragingdatainorganizationaldecisionmaking