• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Customer interaction tracker     Goto   Sponge   NotDistinct   Permalink

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In customer interaction management, Customer Interaction Tracker (CIT) is a software and/or process of gathering information about customers interactions against all levels throughout a business. A CIT does not only track customers who have actually bought a product or service, but also keeps track of future prospects and how they interact with sales organisations. The weak point of a CIT is that it demands that all user interactions be logged into the system. Failing to do so renders analysis uncertain and in worst case useless. Customer privacy laws must be obeyed at all stages.