Business value of in-memory technology - multiple-case study insights

Abstract
Purpose - The purpose of this paper is to assess the business value of in-memory computing technology by analyzing its organizational impact in different application scenarios.

Design/methodology/approach - This research applies a multiple-case study methodology analyzing five cases of in-memory computing application scenarios in five large European industrial and service-sector companies.

Findings - Results show that in-memory computing can deliver business value in various applications ranging from advanced analytic insights to support of real-time processes. This enables higher-level organizational advantages like data-driven decision making, superior transparency of operations, and experience with Big Data technology. The findings are summarized in a business value generation model which captures the business benefits along with preceding enabling changes in the organizational environment.

Practical implications - Results aid managers in identifying different application scenarios where in-memory computing technology may generate value for their organizations from business and IT management perspectives. The research also sheds light on the socio-technical factors that influence the likelihood of success or failure of in-memory computing initiatives.

Originality/value - This research is among the first to model the business value creation process of in-memory technology based on insights from multiple implemented applications in different industries.

Paper type Case Study