Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/6325
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dc.contributor.authorMijoska belsoska, Marinaen_US
dc.contributor.authorTrenevska blagoeva, Kalinaen_US
dc.date.accessioned2019-12-02T13:47:38Z-
dc.date.available2019-12-02T13:47:38Z-
dc.date.issued2019-10-19-
dc.identifier.citationMijoska Belsoska, M., and Trenevska Blagoeva, K., (2019), “Evaluating Data Analytics Adoption In Selected Companies Of The Financial Sector In The Republic Of North Macedonia”, Proceedings of the 11th International Conference Digital Transformation Of The Economy And Society: Shaping The Future, Faculty of economics – Prilep, St. Kliment Ohridski University, Bitola, Republic of North Macedonia, p. 68-77en_US
dc.identifier.isbn978-9989-695-65-0-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/6325-
dc.description.abstractData analytics has become one of the driving forces for digital transformation efforts of companies around the world (Keary, 2019). Nowadays, in a highly digitized environment, companies generate data across different sources which is increasing rapidly in volume, variety and velocity. There is no doubt that companies can use these datasets for creating a more efficient services that deliver a more targeted customer experience. Hence, the importance of data analytics has become essential for organizations to find new opportunities and gain new insights to run their business efficiently. Emerging literature and the empirical evidence suggest that companies from the financial services sector have a lot to gain by adopting data analytics (minimize risks, detect fraud, improve credit risk management, improve marketing activities in real time etc.). In spite of that, companies in the country are still in the early stages of adoption of data analytics technologies. This research is a pilot study and represents the first attempt to assess the data analytics adoption maturity in selected companies of the financial sector in the country. The methodology used in this research for evaluating data analytics adoption is based on Maturity Model for Data and Analytics (IT Score for Data and Analytics) (Gartner, 2017), since it best describes maturity levels in service sectors. The assessment is founded on interviewing managers using questionnaire that guides respondents through all dimensions and levels proposed by the model. In the model four measurement areas are analyzed: Strategy, People, Governance and Technology. For each area, five maturity levels are defined: Basic, Opportunistic, Systematic, Differentiating and Transformational. Survey results confirmed that analyzed companies fully understand the benefits of data and analytics as valuable source to gain competitive advantage from data and the overall level of data and analytics maturity is set on level 2 for almost all dimensions.en_US
dc.language.isoenen_US
dc.publisherFaculty of economics - Prilep, St.Kliment Ohridski University, Bitola, Republic of North Macedoniaen_US
dc.relation.ispartofProceedings of the 11th International Conference Digital Transformation Of The Economy And Society: Shaping The Future, Faculty of economics – Prilep, St. Kliment Ohridski University, Bitola, Republic of North Macedoniaen_US
dc.subjectdata analytics, organizational maturity, financial sector, Republic of North Macedoniaen_US
dc.titleEVALUATING DATA ANALYTICS ADOPTION IN SELECTED COMPANIES OF THE FINANCIAL SECTOR IN THE REPUBLIC OF NORTH MACEDONIAen_US
dc.typeArticleen_US
dc.relation.conferencethe 11th International Conference Digital Transformation Of The Economy And Society: Shaping The Future, Faculty of economics – Prilep, St. Kliment Ohridski University, Bitola, Republic of North Macedonia, 19-20 October 2019en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Economics-
crisitem.author.deptFaculty of Economics-
Appears in Collections:Faculty of Economics 02: Conference papers / Трудови од научни конференции
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