How Self-Service Business Intelligence Education Can Develop Data Literacy and AI Literacy : Lesson Learned from Practitioners

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.

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Publication Details

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University Library of Skövde (University of Skövde)
Published
2025-12-23
Primary Topic
Big Data and Business Intelligence
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article

How Self-Service Business Intelligence Education Can Develop Data Literacy and AI Literacy : Lesson Learned from Practitioners

Christian Lennerholt, Joeri van Laere, Mikael Berndtsson
University Library of Skövde (University of Skövde)
Big Data and Business Intelligence
article

How Self-Service Business Intelligence Education Can Develop Data Literacy and AI Literacy : Lesson Learned from Practitioners

Christian Lennerholt, Joeri van Laere, Mikael Berndtsson
article en

Abstract

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.

University Library of Skövde (University of Skövde)
Quality Education
Openalex Percentile: Top 25%
Big Data and Business Intelligence
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