Social Media Analytics
Node / Mongo and Data
The Premise
- The Social Media App was an award winning POC
- Development was abandoned, but hey, let's not let it die
- Needed some architectural suppport
- Needed some analytical support
What are we trying accomplish?
- Connection
- Transparency
- Simplicity
- Leadership
Connection: Who's really doing what they say?
- Connect real-world data with social inputs to predict social media truthyness
Transparency: Tell users what they'll like and WHY
- Historical data analytics
- Social network analyitcs
- Noise to signal prediction (dark horse trends)
Simplicity: Only deliver what people need, when they need it
- Development goal is an API Platform
- Focus on data & analytics
- Give clients the ability to manage business rules and dashboards
Leadership: Position EPAM as a leader of social analytics
- Primary source for asset recommendations
- SaaS and publicly available datapoints
- Consultants for building relatable content exposure
What technical competencies will we gain?
- Node.js
- Mongo DB
- Social Data APIs
- Analytics & Big data
What will clients gain?
- Analytics that engages their users
- Analytics that informs their decisions
- Analytics that can be tested and validated
WHAT IS IT GOING TO COST?
Staffing
- Javascript Engineer/MongoDB Engineers
- Analytics expert
Scope
- Limited to movies (finite data set)
- Real-world data model (Ticket sales data source)
- Two social data models (Twitter & Facebook)
- Data validation (testing that demonstrates how accurate conclusions are)
- Additional publication requirements
Prerequisites
- Access to a large EPAM hosted Node and Mongo stack
Estimate
- Assumptions
- Development will be full time, additional time will be for consultation with analytics dept.
- Development environment is available
- 1 FT Javascript Engineer
- 1 FT MongoDB Engineer
- Analytics consultation available
- Scope completed in 2 months
- Hours
- JS Engineer: 320 hours
- MongoDB Engineer: 320 hours
- Analytics Consultations: 80
- TOTAL HOURS: 720 Hours
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