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Since recently, psychologists have started to study the employee's' behavior in social networks. It turned out this information can be crucially important. However, the process of getting and analyzing of such data type takes lots of time and resources.
Evolv made the decision to analyze Facebook profiles of employees.
FACEBOOK PROFILES DATA PARSING
FAST AND STABLE WORK
SYSTEMATIZATION OF BIG DATA
We used the Ruby On Rails framework and Facebook API to carry out the system's development. The client part was developed with the use of the BootStrap library in full accordance with the Customer's requirements to user interface.
A certain technical complexity was represented by implementation of screenshots taking system. For this purpose, we integrated the system with an off-site paid service.
The project has successfully been planned, developed and released. It is undergoing the hypothesis check by the customer's experts. The system has already analyzed thousands of Facebook profiles.
Data about users' interactions in Facebook are gathered automatically and stored in the form convenient for the analysis. It is planned to integrate the application with LinkedIn.
ADDITIONAL REVENUE STREAM
MARKET SHARE INCREASE
Senior Director of Engineering
They are very sharp and have a high-quality team. I expect quality from people, and they have the kind of team I can work with. They were upfront about everything that needed to be done.
I appreciated that the cost of the project turned out to be smaller than what we expected because they made some very good suggestions. They are very pleasant to work with.
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