The customer is a not-for-profit organisation. As part of various engagements, volunteers often need to be on boarded and integrated as part of the execution teams. But the selection of volunteers, from databases containing often thousand of relevant profiles, each profile being described using several properties, can be a daunting task. Ideally, a user would filter according to any combination of parameters, to come down to a shortlist of candidates that are all relevant and ready to be interviewed.
To solve this challenge, Evolusys created an Analytics solution, automating clustering of candidates based on criteria selection. The end result is a lightning fast, agile and highly accurate selection tool, that will apply the newest Data Mining and Clustering algorithms to make sense of the raw data. The user can then browse the volunteer database across several, complex, often inter linked criteria, simply from a web browser, and build the list of selected candidates in a matter of minutes. The chosen underlying technologies, not only allowed us to build the solution in an optimised amount of time, but it also ensured performance and scalability, under any condition while remaining easy and engaging to use.