Add telecom customer ontology submission#50
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Ontology for telecom customer behavior, offers, and analytics relationships.
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This ontology represents how telecom companies understand customer behavior and use that understanding to make smarter business decisions. The model connects customers, segments, devices, usage patterns, offers, campaigns, churn risk, and revenue outcomes to explain how customer activity influences business actions. For example, a customer’s usage pattern can indicate churn risk, which may trigger a targeted campaign or personalized offer. Device type can also influence usage behavior and revenue generation. The goal of this ontology is not to model raw data tables, but to create a shared business understanding that both humans and AI systems can use to reason about telecom customer journeys and customer-centric decision making. |
This pull request adds my ontology submission about understanding telecom customers through ontology, including RDF and metadata files.