Towards a Model Based Process Assessment for Data Analytics: An Exploratory Case Study

dc.contributor.authorGokalp, Mert Onuralp
dc.contributor.authorKayabay, Kerem
dc.contributor.authorGokalp, Ebru
dc.contributor.authorKocyigit, Altan
dc.contributor.authorEren, P. Erhan
dc.contributor.orcID0000-0002-4030-2447en_US
dc.contributor.researcherIDS-5921-2016en_US
dc.date.accessioned2023-09-07T13:10:34Z
dc.date.available2023-09-07T13:10:34Z
dc.date.issued2020
dc.description.abstractThe ability to leverage data analytics can enhance the decision-making process in organizations by generating valuable insights. However, there is a limited understanding of how organizations can adopt data analytics as part of their business processes due to a lack of comprehensive roadmap with a structural approach like a Process Capability Maturity Model (PCMM). In this study, the development of a PCMM based on the ISO/IEC 330xx standard for the data analytics domain is proposed to assist organizations in assessing their data analytics processes capability level and providing a roadmap for improving them continuously. Towards this goal, we conducted an exploratory case study for one data analytics process to evaluate the applicability and usability of the proposed approach.en_US
dc.identifier.eissn1865-0937en_US
dc.identifier.endpage628en_US
dc.identifier.issn1865-0929en_US
dc.identifier.startpage617en_US
dc.identifier.urihttp://hdl.handle.net/11727/10538
dc.identifier.volume1251en_US
dc.identifier.wos000701448600046en_US
dc.language.isoengen_US
dc.relation.isversionof10.1007/978-3-030-56441-4_46en_US
dc.relation.journalSYSTEMS, SOFTWARE AND SERVICES PROCESS IMPROVEMENT (EUROSPI 2020)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData analyticsen_US
dc.subjectData-driven organizationen_US
dc.subjectProcess assessment modelen_US
dc.subjectProcess improvementen_US
dc.subjectSPIen_US
dc.subjectISO/IEC 330xxen_US
dc.titleTowards a Model Based Process Assessment for Data Analytics: An Exploratory Case Studyen_US
dc.typeConference Objecten_US

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