TY - GEN
T1 - Dimensions of Data Analytics in Supply Chain Management
T2 - 4th International Conference on Computers in Management and Business, ICCMB 2021
AU - Brandtner, Patrick
AU - Udokwu, Chibuzor
AU - Darbanian, Farzaneh
AU - Falatouri, Taha
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/1/30
Y1 - 2021/1/30
N2 - In recent time, the application of data analytics (DA) has grown significantly in virtually every field, Supply Chain Management (SCM) being one of them. DA processes like CRISP-DM serve as an orientation framework for managing DA projects in general but fail to deliver domain-specific details at the operative project level especially in SCM. Setting DA objectives, deriving associated SCM activities, identifying applicable measurement indicators for analyzing these activities, as well as defining DA questions for the specific DA objectives are challenging and under-researched tasks. This paper presents a literature review- and expert questionnaire-based approach for conducting the business understanding stage of CRISP-DM in SCM DA projects. The developed approach provides a procedure for selecting and defining the right DA questions based on specific DA objectives and SCM activities. To demonstrate applicability of the research, the DA approach is applied to an ongoing DA project in retail SCM. The result show that the time required for completing the business understanding stage of the DA project could significantly be reduced. Furthermore, the DA questions developed in this study provided a clear guideline for the project and facilitated cooperation between data analysts, research and SCM domain experts.
AB - In recent time, the application of data analytics (DA) has grown significantly in virtually every field, Supply Chain Management (SCM) being one of them. DA processes like CRISP-DM serve as an orientation framework for managing DA projects in general but fail to deliver domain-specific details at the operative project level especially in SCM. Setting DA objectives, deriving associated SCM activities, identifying applicable measurement indicators for analyzing these activities, as well as defining DA questions for the specific DA objectives are challenging and under-researched tasks. This paper presents a literature review- and expert questionnaire-based approach for conducting the business understanding stage of CRISP-DM in SCM DA projects. The developed approach provides a procedure for selecting and defining the right DA questions based on specific DA objectives and SCM activities. To demonstrate applicability of the research, the DA approach is applied to an ongoing DA project in retail SCM. The result show that the time required for completing the business understanding stage of the DA project could significantly be reduced. Furthermore, the DA questions developed in this study provided a clear guideline for the project and facilitated cooperation between data analysts, research and SCM domain experts.
KW - Business Understanding
KW - Data Analytics
KW - Data Analytics Questions
KW - Supply Chain Management
UR - http://www.scopus.com/inward/record.url?scp=85108147852&partnerID=8YFLogxK
U2 - 10.1145/3450588.3450599
DO - 10.1145/3450588.3450599
M3 - Conference contribution
AN - SCOPUS:85108147852
T3 - ACM International Conference Proceeding Series
SP - 58
EP - 64
BT - 2021 4th International Conference on Computers in Management and Business, ICCMB 2021
PB - Association for Computing Machinery
Y2 - 30 January 2021 through 1 February 2021
ER -