Abstract: Provided is a method and system (108) for building and leveraging a knowledge fabric (110) in a Software Development Lifecycle (SDLC). A plurality of SDLC artifacts are received from a plurality of heterogeneous data sources (102). The plurality of SDLC artifacts are then correlated to build an end-to-end correlation and are clustered to generate an SDLC knowledge fabric (110). This includes extracting semantic and contextual data from the plurality of SDLC artifacts using Natural Language Processing (NLP) and deep text analytics and transforming the extracted semantic and contextual data to knowledge graphs. One or more actionable items (112) are then derived using the SDLC knowledge fabric (110) and the one or more actionable items (112) are used to improve overall process efficiency and accelerate software delivery in the SDLC.

Abstract: The present invention provides a system and method for processing subscription related data, wherein a subscription document of an existing subscription is received by a server via a user device. The subscription document is processed to extract pre-determined parameters; and primary parameters are obtained from service provider servers and secondary parameters are obtained from third party servers. The pre-determined parameters are correlated with the primary parameters and the secondary parameters and a customized output is generated. The customized output may be a comparative analysis of particulars of the existing subscription and new subscriptions.

Abstract: The present invention provides a system and method for processing subscription related data, wherein a subscription document of an existing subscription is received by a server via a user device. The subscription document is processed to extract pre-determined parameters; and primary parameters are obtained from service provider servers and secondary parameters are obtained from third party servers. The pre-determined parameters are correlated with the primary parameters and the secondary parameters and a customized output is generated. The customized output may be a comparative analysis of particulars of the existing subscription and new subscriptions.

Abstract: The present invention generally relates to a real time analytical method and particularly relates to a method for digitally accumulating a consumer experience and analyse the collected data to provide a plurality of suggestion for improving a consumer experience on a target software. The present method allows a consumer oriented data acquisition and analytics in a short time span thus easing a client to optimize their digital platform and enhance the consumer experience. The present invention analyses a plurality of major parameters such as discoverability, accessibility, performance, omni-channel and perception and a plurality of minor parameters for providing analytics.