SOLUTION

AN END TO END SOLUTION

Our solution includes data collection, collation, analysis and reporting. We have candidate level and user/geography level reports. Our solution offers you with an interface or a back-end service which can easily and effectively process your assessment data. This data is processed in an offline model. But subject to user requirements we can also integrate with your proprietary HRMS system to seamlessly receive and process your data files.

Personally identifiable employee data is not mandatory and can be masked if required. The service is hosted on the cloud and is charged on usage basis for low volume usage and annuity basis for high usage volume. The solution is highly generic and scalable. We can process any relevant skill attribute based on appropriate data as long as it follows a generic and and standard file format. The data file is run through our advanced Machine Learning engine to build an intuitive and easily recognisable pattern based on the candidate skill attributes. We then roll up these attribute scores based on agreed upon configurable weights to create the Consolidated Candidate Score. Contextual Baseline scores are used to generate comparative charts and reports that are easy to understand and use. Candidate scores – Individual, Consolidated and Rolled up - are provided based on the above logic. These reports can be viewed by logging into our platform or mailed to you at appropriate set intervals .


PRADJNA AS A PLATFORM FOR TALENT ACQUISITION AND PERFORMANCE MANAGEMENT


Talent acquisition,as a function,today is closely associated with marketing,public relations and human resource management.An active talent acquisition demand a well planned corporate brand message linked to a well defined career path . Pradjna provides you with a solution where currently there is a gap in evaluating motor skills. By engaging with us you get a cost effective capability to assess vast number of skilled employees during their onboarding and ongoing performance management requirements with minimum human intervention and related subjectivity and bias