当今市场的形势要求公司在利用多个系统跨组织边界管理复杂流程方面做到更快、更高效。
In today's market, conditions demand that companies be more responsive and efficient in managing complex processes across organizational boundaries because of their multiple systems.
信息管理系统支持跨组织的，并且时间和地域限制使用一个统一的数据库的业务流程。
ERP systems support business processes across organizational, temporal and geographical boundaries using one integrated database.
产品的跨学科知识集成、跨企业组织管理、用户定制、特殊的研发流程等特性增加了研发管理的困难。
Complex characters of Equipment Manufacture Industry include multi-discipline technology integration of product, cross-organization in management, tailor-made, special business processes.
然而，数据流视角对于商业流程整合非常重要，因为在跨组织商业活动中数据总是很敏感的。
However, a data flow perspective is important for business process integration because data is always sensitive when inter-organizational business is conducted.
跨数据生命周期利用数据模型价值，以促进跨生命周期、跨角色和跨组织的协作，以及协调流程服务、应用和数据体系结构。
Leverage data model value across the data lifecycle to promote cross-lifecycle, cross-role and cross-organization collaboration and to align process service, application, and data architecture.
跨数据生命周期利用数据模型价值，以促进跨生命周期、跨角色和跨组织的协作，以及协调流程服务、应用和数据体系结构。
Leverage data model value across the data lifecycle to promote cross-lifecycle, cross-role and cross-organization collaboration and to align process service, application, and data architecture.
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