Abstract
To compete in a globalized world, organizations need develop their data analytic capability. Using a review of the literature and case studies, this study examines how organizations acquire and orchestrate the necessary resources to build their data analytic capability in a way that fits their organization and context. The literature review identified six categories of assets and resources needed for the development of data analytic capability, namely data, data analytics, technology, structure and processes, management, and knowledge and skills. The case study findings showed that their impact is interlinked, with the presence of technical knowledge in the organization being essential.
Original language | English |
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Publication status | Published - 3 Jul 2023 |
Event | 30th EurOMA Conference - KU Leuven, Leuven, Belgium Duration: 3 Jul 2023 → 5 Jul 2023 https://euroma2023.org/ |
Conference
Conference | 30th EurOMA Conference |
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Country/Territory | Belgium |
City | Leuven |
Period | 3/07/23 → 5/07/23 |
Internet address |
Keywords
- data analytic capability
- digital transformation
- digitalization