Social Profile Extractor – Part 1
Each person leaves behind a social footprint when you upload a photo on Instagram, tweet on Twitter, like a post in Facebook or pin a page in Pinterest. All these information help us to understand what are the likes/dislikes of an individual. From a Sales Rep point of view, this information would be a deal breaker if he knows his customer better. There are many vendors in the market which can give the social profile of an individual by searching on the email address.
Here is a small proof of concept on how to enrich your C4C Individual Customer master data with the social profiles.
There is a customer data in C4C with only basic Information – Name, Email. Sales Agent would like to know the social imprint of this customer master
So this a simple way of how you can enrich a customer master data. For my prototype I am searching the data from vendor pipl.com. You can check other service providers like clearbit, Full Contact.
In my next blog, I will touch upon the technical aspects of this proof of concept. In a nut shell, C4C calls an app passing the email hosted in HCP. HCP app calls PIPL APIs to get the information of social profiles. Data is sent back to C4C. A small PDI implementation can gather this information and displays the data in C4C and write back the data to C4C.