Predictive Analytics for Telekom Marketing Campaigns

• Forschungsstelle: INNOSUISSE
• Projektnummer: 18714.1 PFES-ES
• Projekttitel Englisch: Predictive Analytics für Telekom Marketing Campaigns

Kurzbeschreibung (Deutsch)

Predictive Analytics for Telekom Marketing Campaigns

Kurzbeschreibung (Englisch)

Predictive Analytics für Telekom Marketing Campaigns

Abstract (Deutsch)

Classical data mining for marketing campaigns still includes a high level of expert involvement. To help marketers exploit the full potential of real-time big data analytics, the project develops a methodology and software prototype for automated closed-loop predictive marketing analytics together with a visual campaign design support module. Both components are based on a Semi-Naive Bayes approach, which provides the necessary interpretability for marketing applications.

Abstract (Englisch)