Overview
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API | API Provider | Metrics gathered |
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Force | Salesforce.com | Raw Leads, MQLs, Sales Opportunities |
Youtube reporting API | Youtube.com | Views, Subscribers |
LinkedIn Api | LinkedIn.com | Followers |
Twitter4j | Open Source | Followers |
AWS API | Amazon.com | S3 product download logs |
Github Webhooks | Github | Github Statistics |
Pro Ranking Api | Pro Ranking | Website ranking |
Api Calls
- Use a Workflow Custom Action to run periodic RESTful calls to APIs
- A spark job can read the data from filesystem and update the cube
- In order to allow different scheduling of different calls, each call will have its own workflow
REST EndPoints
Method | End Point | Description | Response | |||||
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GET | /pipeline/{time period} | Returns the data related to marketing and sales leads time period E {week, month} |
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GET | /awareness/webtraffic/{time priod} | Returns the traffic related information for website and blog |
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GET | awareness/socialmedia/subscribers | Returns the subscribers on various social media sites |
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GET | awareness/seo | Returns the share of voice numbers |
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GET | adoption/downloads | Returns the number of downloads for cdap |
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UI
- UI could be deployed on a thin coopr node
- Probable stack for UI will be Jquery embedded in a bootsrap dashboard
- ChartJS and c3JS would be used to render charts
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UI should allow refining all metrics to different time granularities (Hourly, Daily, Weekly, Monthly, Every three months, Every year)
Visualize metrics in the form of Dashboard (Widgets - Line, Bar, Pie, Scatter, ...)
Dashboard and backend should support overlaying week-over-week, month-over-month or year-over-year for any metric
Backend should allow for raw querying of data through SQL commands
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Email and text notifications can be sent using SendGrid or Amazon SNS service
- Users can unsubscribe or subscribe using front end backed by apis
Generate daily and weekly digest report and email them to stakeholders
Export data into PDF/Excel available for download in UI
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