Supply Chain Intelligence and Supply Chain Analytics


 
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Supply Chain Intelligence and Supply Chain Analytics
Anneke Zwart, Student (University), Netherlands

Probert and O’Regan (2002) discuss the purposes of Supply Chain Intelligence (SPI) in organizations. According to them, supply chain intelligence builds upon data obtained through ERP and SCM applications that automatize, systematize and integrate processes of the different components within a supply chain. SPI has the following purposes and benefits:
1. Development of supply chain analytics capabilities that provides insights into cross-functional supply chain areas
2. Integration of data from functional supply chain areas and related applications and systems. Thus, it integrates data from disparate sources.
3. The usage of Key Performance Indicators (KPIs) so as to detect those areas in which performance can be improved.
SPI seems to complement ERP and SCM applications that many organizations have adopted and enhances the existing information gained through ERP and SCM applications. SPI data can then be used to support critical business decision making processes that help to sustain competitive advantages.
Source. Probert, A. and O’Regan, D. (2002) “Supply Chain Intelligence: An Evolution From Process Automation to Business Insights” Accenture and Business Objects
⇒ Do you know of any further benefits associated with SPI?

 
   















 

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