آنالیز چرخه عمر محصول - تجزیه و تحلیل داده های نسل بعدی بر روی داده های ساختارمند و بدون ساختار

Existing analytics approaches on unstructured data around the product life cycle focus on isolated data sources from a single product life cycle phase, do not make use of structured data for holistic analytics and are typically cost-intensive and case-based, without a general framework. To address these issues, we present our Product Life Cycle Analytics (PLCA) approach for the holistic integration and analysis of unstructured and structured data from multiple data sources around the product life cycle. We survey structured and unstructured data sources around the product life cycle and discuss limitations of existing analytics. We develop a set of requirements for PLCA and present ApLAUDING, a reference architecture which meets all requirements, as well as an application scenario, and propose a strategy towards implementation.