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How Self-Service Business Intelligence Education Can Develop Data Literacy and AI Literacy: Lesson Learned from Practitioners
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Information Systems (IS))ORCID iD: 0009-0007-4812-3340
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Information Systems (IS))ORCID iD: 0000-0003-0488-6841
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Information Systems (IS))ORCID iD: 0000-0001-8362-3825
2026 (English)In: Proceedings of the 59th Hawaii International Conference on System Sciences: Hyatt Regency Maui, January 6-9, 2026 / [ed] Tung X. Bui, HICSS , 2026, p. 266-274Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence (AI) can take Business Intelligence (BI) to the next level by empowering users in their daily decision-making tasks. Just like Self-Service Business Intelligence (SSBI), AI integrated business analytics comes with many benefits, but also with numerous implementation challenges. In fact, typical SSBI implementation challenges like data quality, data governance, and employee training are equally relevant when integrating AI. Hence, lessons learned from development of SSBI education could increase data literacy and AI literacy. Two case studies of SSBI education in large BI consultancy firms have identified five SSBI education steps: (1) increase the interest of using data; (2) introduce data to all users; (3) clean and define data to create standard reports; (4) develop SSBI data governance and (5) become self-reliant on accessing and using data. SSBI education can create a foundation that leads to being better prepared for the implementation and use of more advanced AI analytics.

Place, publisher, year, edition, pages
HICSS , 2026. p. 266-274
Series
Proceedings of the Annual Hawaii International Conference on System Sciences, E-ISSN 2572-6862 ; 59
Keywords [en]
Self-service Business Intelligence, Artificial Intelligence, Education, Data Literacy, AI Literacy
National Category
Information Systems, Social aspects Pedagogy
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-26109ISBN: 978-0-9981331-9-5 (print)OAI: oai:DiVA.org:his-26109DiVA, id: diva2:2027251
Conference
59th Hawaii International Conference on System Sciences (HICSS-59), Hyatt Regency Maui, January 6-9, 2026
Note

CC BY-NC-ND 4.0

Available from: 2026-01-12 Created: 2026-01-12 Last updated: 2026-01-12Bibliographically approved

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Lennerholt, Christianvan Laere, JoeriBerndtsson, Mikael

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1819202122232421 of 24
CiteExportLink to record
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Citation style
  • apa
  • apa-cv
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