1. Enterprise Influence Meter

2. 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

3. 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

4. Snapshot

5. Thank You