Enterprise Influence Meter

Business Perspectives Business Scenario Workforce is participating in Social and interacting with peers seamlessly Not all communications are creating influence on others while some communications are really shaking the mass Similarly some folks are there whose posts always create ripples in others’ mind and leave the influence Would be easier for enterprises to sell new ideas and policies etc. through influential people Knowing the influencing message pattern enterprise can understand swinging mood pattern of workforce and decide on future communications accordingly Resolutions Offered Analysis of Enterprise Social ecosystem Scanning of Following / Follower data of individuals Scanning of Like / Share / Posts on Messages Identification of Top 5 influencing messages based on inherent algorithm Identification of Top5 influential users based on inherent algorithm

Technical Perspectives Architecture Software and Tools Dot Net 4.5 Angular JS ASP .NET MVC Dot Net Web API Azure Web Jobs Yammer Social Output Format REST Services extending Influence Scores

Snapshot

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