Customer-Base Analysis on a ‘Data Diet’: Model Inference Using Repeated Cross-Sectional Summary (RCSS) Data

Analytics at Wharton Research Customer-Base Analysis on a 'Data Diet': Model Inference Using Repeated Cross-Sectional Summary (RCSS) Data We address a critical question that many firms are facing in this era of "big data'': Can customer data be stored and analyzed in an easy-to-manage and scalable manner without significantly compromisingRead More

Portfolio Dynamics for Customers of a Multi-Service Provider

Analytics at Wharton Research Portfolio Dynamics for Customers of a Multi-Service Provider Multi-service providers, such as telecommunication and financial service companies, can benefit from understanding how customers’ service portfolios evolve over the course of their relationships. This can provide guidance for managerial issues such as customer valuation and predicting customers’Read More

From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data

Analytics at Wharton Research From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data Managers routinely seek to understand firm performance relative to the competitors. Recently competitive intelligence (CI) has emerged as an important area within business intelligence (BI) where the emphasis is on understanding and measuringRead More

New Perspectives on Customer ‘Death’ Using a Generalization of the Pareto/NBD Model

Analytics at Wharton Research New Perspectives on Customer 'Death' Using a Generalization of the Pareto/NBD Model Several researchers have proposed models of buyer behavior in noncontractual settings that assume that customers are “alive” for some period of time and then become permanently inactive. The best-known such model is the Pareto/NBD,Read More