CHALLENGE
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
SCREEN CASTING
FAST AND STABLE WORK
SCALABILITY
SYSTEMATIZATION OF BIG DATA
OUR SOLUTION
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.
WHAT'S NOW
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.
BUSINESS BENEFITS:
ADDITIONAL REVENUE STREAM
MARKET SHARE INCREASE
COMPETITIVE ADVANTAGE
WHAT HAPPY CLIENT SAYS
Michael Karbushev
Evolv
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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