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In this competitive era, manufacturing companies have to focus on the quality of the produced products.

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To enable efficient decision making, professionals need to collaborate with individuals with data being a collected from various sources like distributed clouds for storage, very large databases and social media with authentication and validation is needed for access to relevant roles. Further application of machine learning to deal with unlawful actions. This paper proposes a Context Aware Secure Collaborative Business Intelligence Framework (CASCBF) to address the same. CASCBF is divided into three layers. Multiple sources of data provide different levels of abstraction and granularity of access control to different roles. To control different types of assemblage of data resources from distributed sources and provide right access to users to the edge of the network is a core challenge.