Supply Chain Intelligence
Luokkanen-Rabetino, Karita; Rajala, Arto; Sillanpää, Ilkka; Shahzad, Khuram (2017-07-06)
Luokkanen-Rabetino, Karita
Rajala, Arto
Sillanpää, Ilkka
Shahzad, Khuram
Palgrave Macmillian, Cham
06.07.2017
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202002074801
https://urn.fi/URN:NBN:fi-fe202002074801
Kuvaus
vertaisarvioitu
Tiivistelmä
This chapter provides on overall picture of business intelligence (BI) and supply chain analytics (SCA) as a means to support supply chain management (SCM) and decision-making. Based on the literature review, we clarify the needs of BI and performance measurement in the SCM sphere, and discuss its potential to enhance decision-making in strategic, tactical and operational levels. We also make a closer look in to SCA in different areas and functions of SCM. Our findings indicate that the main challenge for harnessing the full potential of SCA is the lack of holistic and integrated BI approaches that originates from the fact that each functional area is using its own IT applications without necessary integration in to the company’s overall BI system. Following this examination, we construct a holistic framework that illustrates how an integrated, managerially planned BI system can be developed. Finally, we discuss the main competency requirements, as well as the challenges still prohibiting the great majority of firms from building smart and comprehensive BI systems for SCM.
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