Mar 23, 2021
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Completed
Evolv: Facebook Profiles Analyzer Evolv (now Cornerstone OnDemand), one of leading companies in Big Data arrays analysis and human resou
$5,000+
Less 1 month
United States
1
Service categories
Service Lines
Software Development
Web Development
Domain focus
Other
Challenge
Since recently, psychologists have started to study employee's behavior in social networks. It turned out this information can be crucially important. However, the process of getting and analyzing such data type takes lots of time and resources.
Evolv made the decision to analyze the Facebook profiles of employees.
Since recently, psychologists have started to study employee's behavior in social networks. It turned out this information can be crucially important. However, the process of getting and analyzing such data type takes lots of time and resources.
Evolv made the decision to analyze the Facebook profiles of employees.
Solution
We have used the Ruby On Rails 4.0 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.
We have used the Ruby On Rails 4.0 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.
Results
The project has successfully been released and now 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.
Thank to the system, the company plans to gain additional revenue
stream, get competitive advantage, and increase of the market share
by providing unique service for human resource managers.
It is planned to integrate the application with LinkedIn
The project has successfully been released and now 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.
Thank to the system, the company plans to gain additional revenue
stream, get competitive advantage, and increase of the market share
by providing unique service for human resource managers.
It is planned to integrate the application with LinkedIn
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