Purpose: Increasing quantity and sources of data and their potential to fuel value-adding applications in Supply Chain Management (SCM) are of considerable importance for corporations. Methodology: We utilize a qualitative research design of semi-structured expert interviews. Findings: Utilizing the Technology-Organization-Environment framework, we establish an integrated perspective: We propose that CSF possess a varying relevance to the success of the SCA (Supply Chain Analytics) project, depending on the initial drivers. Originality: While the benefit and potential value of SCA is established, the implementation of the technology remains a challenge for companies. This paper combines the concept of “drivers” for adoption with Critical Success Factors (CSF) during the initial implementation.
