Abstract

Advanced data analytics (ADA), as an emerging field, empowers companies in gaining competitive advantages by offering insights derived from data. To derive business value from ADA, organizations must develop various capabilities across different areas, including infrastructure (technology), data management, people, and culture. Previous literature has consistently emphasized technical aspects over other dimensions, providing comparatively limited information about capabilities related to people and culture. To fill in this gap, we conducted a systematic literature review of studies on capabilities and related concepts including maturity and success factors of ADA. We synthesized the findings from 29 studies into a hierarchical list, categorizing capabilities at two levels and delineating each capability with a set of components. Through the presentation of an extensive and structured list, we aim to clarify how these capabilities are constituted but also guide organizations in identifying necessary capabilities and planning their development, thereby facilitating improved implementation and management of ADA.

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