Create a representation of your jobs and skills standardizing the job titles of your organization in order to associate them with “standard” jobs and get the list of standardized skills that are associated with them.

 
 
Dataset :

You can rely on Boostrs’ jobs and skills ontology or you can standardize your own jobs and skills repository.
 
Technology :
Our solutions rely on state-of-the-art natural language processing (NLP) and artificial neural network (ANN) algorithms developed by an A-team of PhDs in data science.
 

Based on your normalized repository, our matching technology will identify, for a given HR object, the top « x » HR object or objects within a given pool.
 
This first object is therefore matched with one or more other objects selected from a large group of objects (CVs, learning content, opening jobs, etc.) to meet the specific needs of an HR process.

 
 
Matching capacities :
 

• One object to another object
• One object to a pool of objects
• A pool of objects with another pool of objects

Learning, recruitment, internal mobility, all these HR processes are linked by a common element : skills
 
To address these topics in an optimal way, relying on a jobs and skills ontology is paramount. This system describes key HR objects such as jobs, skills, courses or user profiles, and allows to link them together, using skills as a common denominator.
 
Powered up with matching and multilingual semantic analysis algorithms, you then get access to an intelligent system which can create individualized career and training paths.