Information requirements for a data-based analysis of product and service complexity

Abstract

Analysis of data is currently being discussed in research and practice across a wide range of areas, but mainly with focus on production. Improved data availability is not only a relevant factor in production, but also in other areas such as management of product as well as service complexity. A major challenge in this area is the trade-off between standardization and customer-specific solutions. However, the variety of products and services leads to an increased complexity and therefore increases costs. Transformation from a supplier to a buyer market, shortened product life cycles, rising speed of innovation and differentiation of customer needs have led to an increased product and service variety. As a result, offered products and services are growing in both, width through diversification and depth through variation due to a pursued differentiation strategy. Hence, companies must respond to increasing product and service complexity with an appropriate variant and complexity management. In the first step, this requires transparency about product- and service-induced complexity. This paper introduces a methodology for a systematic identification of complexity-relevant information requirements as well as corresponding data inputs. These information requirements form the basis for the design of a data model and provide input for analysis as well as visualization of complexity.

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