Transforming data into information for smart services: integration of morphological analysis and text mining

Abstract

Designing and delivering useful information for customers are crucial requirements of smart services as they influence the customer perception of the value and appeal of the service. Service information represents the results of data analysis that are delivered to customers. While the importance of transforming data into information has been recognized, the process of information design has been inadequately researched. This study introduces a methodology for transforming data into information to support smart services. The methodology is developed using morphological analysis and text mining. The proposed methodology was applied to a real-world case in smart services for vehicle operations management.