• 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#ldpoplwebrel-me-authskos-transurn:det:rdf:labelurn:kidehen:glossary:inference:rulesurn:owl:inference:rules:testsvirtpivot-rulesvirtrdf-eturtle-containersvirtrdf-hashtagvirtrdf-ifpvirtrdf-labelvirtrdf-meta-entity-classvirtrdf-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: Consumer-data privacy and personalization at scale: How leading retailers and consumer brands can strategize for both     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : schema:WebPage, within Data Space : 75.101.141.105 associated with source document(s)

Type: Web Page New Facet based on Instances of this Class

Personalization at scale is where retailers and consumer brands are competing to win. But in focusing on “playing offense” to capture value, executives are often overlooking their “defense”: preserving, protecting, enabling, and accelerating the hard-won gains of their digital efforts by ensuring that personalization at scale keeps personal data secure and private. Customer concerns about the security and privacy of their online data can impede personalized marketing at scale. Best-practice companies are building protections into their digital properties.