Within a supply chain, an enormous amount of data is generated by the activities and interactions of all involved, including raw materials providers, logistics companies, distributors, retailers and customers. These ever-growing data volumes that encircle individuals, companies, processes and devices is what we call a Code HaloTM.
Code Halos can be classified by the types of data they spawn and their application to the broader business ecosystem. The value of this data depends on the organization’s ability to apply analytics to yield insights and foresights that extend beyond pure transactions.
One way to make meaning from this data is through ontology, an approach involving the creation of a hierarchical description of concepts in a certain domain, combined with a description of each of these concepts. By applying ontology, organizations can codify and apply a formal structure to the Code Halos associated with the supply chain ecosystem, using various concepts of class, subclass, inheritance, relations, properties, instances, etc.