Schmitz, PScheepers, Lde Wit, PWCDe la Rey, A2007-11-072007-11-072007-09Schmitz, PMU et al. 2007. Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model. Logistics Research Network Annual Conference, Hull, United Kingdom, September 5-7 2007, pp 6http://hdl.handle.net/10204/14412007: Logistics Research Network Annual Conference, UKSpatial data such as roads and land parcels is increasingly becoming a commodity that is being created with the aim to sell or to provide spatial information to other institutions for further processing or to decision makers to aid in their decision processes. This paper looks into the spatial data supply chain of ESI-GIS unit of Eskom and the use of an adapted SCOR model (GISDataSCOR) to model and analyse the supply chain. Spatial data needs to be sourced from various sources (SOURCE), which is then stored in a data warehouse. The spatial data is then sourced from the data warehouse and transformed into a new spatial data set using Geographic Information Systems (GIS) (MAKE) and the new spatial data set is delivered to a customer (DELIVER). RETURN in this environment deals only with defective data sets. It is of the opinion from the researchers that data as a commodity will play an important part of the future economies and that data supply chains are one of the supply chains of the future and that supply chain management is going to play prominent role in ensuring that data is sourced, created and delivered efficiently and effectively.enGeographic information systemsSupply chainsSupply chain managementSpatial dataSCORSupply-chain operations referenceConference PresentationSchmitz, P., Scheepers, L., de Wit, P., & De la Rey, A. (2007). Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model. http://hdl.handle.net/10204/1441Schmitz, P, L Scheepers, PWC de Wit, and A De la Rey. "Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model." (2007): http://hdl.handle.net/10204/1441Schmitz P, Scheepers L, de Wit P, De la Rey A, Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model; 2007. http://hdl.handle.net/10204/1441 .TY - Conference Presentation AU - Schmitz, P AU - Scheepers, L AU - de Wit, PWC AU - De la Rey, A AB - Spatial data such as roads and land parcels is increasingly becoming a commodity that is being created with the aim to sell or to provide spatial information to other institutions for further processing or to decision makers to aid in their decision processes. This paper looks into the spatial data supply chain of ESI-GIS unit of Eskom and the use of an adapted SCOR model (GISDataSCOR) to model and analyse the supply chain. Spatial data needs to be sourced from various sources (SOURCE), which is then stored in a data warehouse. The spatial data is then sourced from the data warehouse and transformed into a new spatial data set using Geographic Information Systems (GIS) (MAKE) and the new spatial data set is delivered to a customer (DELIVER). RETURN in this environment deals only with defective data sets. It is of the opinion from the researchers that data as a commodity will play an important part of the future economies and that data supply chains are one of the supply chains of the future and that supply chain management is going to play prominent role in ensuring that data is sourced, created and delivered efficiently and effectively. DA - 2007-09 DB - ResearchSpace DP - CSIR KW - Geographic information systems KW - Supply chains KW - Supply chain management KW - Spatial data KW - SCOR KW - Supply-chain operations reference LK - https://researchspace.csir.co.za PY - 2007 T1 - Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model TI - Understanding data supply chains by using the Supply-Chain Operations Reference (SCOR) model UR - http://hdl.handle.net/10204/1441 ER -