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

机译：基于数据的产品和服务复杂性的信息要求

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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.
机译：目前正在研究和实践中讨论数据的分析，横跨各种领域，但主要是焦点生产。改进的数据可用性不仅是生产中的相关因素，而且还在其他领域，例如产品管理以及服务复杂性。该领域的一项重大挑战是标准化和客户特定解决方案之间的权衡。然而，各种产品和服务导致复杂性增加，因此增加了成本。从供应商转换为买方市场，缩短产品寿命周期，创新速度上升和客户需求的差异导致了产品和服务品种的增加。因此，由于追求的差异策略，通过多样化和深度，提供的产品和服务在两者宽度下，通过多样化和深度增长。因此，公司必须通过适当的变体和复杂性管理来响应增加产品和服务复杂性。在第一步中，这需要关于产品和服务诱导的复杂性的透明度。本文介绍了系统识别复杂性相关信息要求以及相应的数据输入的方法。这些信息要求构成数据模型的设计的基础，并提供分析的输入以及复杂性的可视化。

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