By Chris Pennington.
Recently, Professional Advantage has released 1Staff, software system that follows a long tradition of recruitment solutions from PA.
But, using Microsoft CRM as the basis for the 1Staff plug-in is the key to its popularity and ease of use.
The benefits of Parsing
Let’s focus on just one feature which makes life easier: Parsing Resumes. When filling roles it is important to match candidates that meet a specified set of experience, qualifications or expertise. This is what is known as the benchmark criteria. 1Staff will enable your recruiters to identify and set the benchmark criteria. As resumes are submitted, they are automatically parsed. This searching process identifies resumes which contain information relevant for the specified criteria. When a match is made this information is retained in 1Staff to enable easier ranking and profiling. Furthermore, 1Staff stores the resumes in a SharePoint repository (linked to Microsoft CRM) so that quick and easy retrieval is possible for final scrutiny.
Parsing resumes in this way enables the recruiter to rapidly categorise the resume database. Without such information the repository simply contains a large collection of documents. This provides little value-add to the recruiter and indeed the marketing arm of a Staffing company. The parsed database then provides a useful insight into the overall picture. A recruiter can readily identify in which areas/skills the resume database is dominate or indeed note which skills may need to be sought more vigorously.
Pattern matching can also emerge. This can be useful to help educate candidates, e.g. the recruiter can provide feedback to candidates such as “other Candidates that often get these roles also have these additional skills”. Pattern matching also aids the marketing division when attracting new clients. If the resume database is seen as an important asset, then the ability to promote this in a simplified but powerful way is critical. Using parsing, and identifying the patterns that emerge, is a useful means to describe the variety and structure of the resume database. This is far more effective than simply explaining your pile of resumes is now reached a new astronomical number.