Powerful cloud BPM, made agile amp; friendly
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Full Text Available Business processes workflow architecture based on agility and flexibility plays an important role in the success of any enterprise. In new era most of the processes are automated and they are supported by IT-Services in the form of Service Oriented Architecture SOA components. Due to mobility and scalability as well as high performance computing and distributed working environment it is crucial to focus on an architecture which is agile optimized cost effective and easy to implement. In this paper we have conducted a research study on layer based BPM SOA and cloud integrated architecture. The main contribution of the research study is to propose an agile cost effective and scalable solution framework based on Architectural Building Blocks ABBs following a SOA-RA layered model to integrate BPM SOA and cloud services.
Healthcare organizations increasingly navigate a highly volatile, complex environment in which technological advancements and new healthcare delivery business models are the only constants. In their effort to out-perform in this environment, healthcare organizations need to be agile enough in order to become responsive to these increasingly changing conditions. To act with agility, healthcare organizations need to discover new ways to optimize their operations. To this end, they focus on healthcare processes that guide healthcare delivery and on the technologies that support them. Business process management (BPM) and Service-Oriented Architecture (SOA) can provide a flexible, dynamic, cloud-ready infrastructure where business process analytics can be utilized to extract useful insights from mountains of raw data, and make them work in ways beyond the abilities of human brains, or IT systems from just a year ago. This paper presents a framework which provides healthcare professionals gain better insight within and across your business processes. In particular, it performs real-time analysis on process-related data in order reveal areas of potential process improvement.
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