Monster tackles big data issue with SeeMore
June 2012 | By Sue Weekes
Monster will officially launch its SeeMore platform later this month, which allows recruiters to create a powerful talent matching system. Put simply, SeeMore can send CVs held on a variety of data sources such as applicant tracking (ATS) and talent management systems to the cloud where they can be searched from one place using Monster’s semantic search technology, 6Sense. “It’s a tool to help recruiters solve the problem of big data,” said David Henry, vice president of marketing UK and Ireland at Monster Worldwide.
Henry believes that SeeMore, which is delivered via a flexible licensing model such as software-as-a-service, will help recruiters maximise the value of their internal and external talent pools. “Organisations have thousands of CVs on ATSs or in electronic form in other parts of the business but the reality is when you get a requisition, you press the recruitment button,” he said. “And every time you push the recruitment button you spend money.” He explained that SeeMore provides the recruiter or hiring manager with a set of dashboards that allows them to see what skills are in the workforce and they can drill down to information such as what the top 10 IT skills are in an organisation. “It puts all of that management information at the heart of the business,” he said.
SeeMore can provide recruiters with matched scores against candidates based on their search criteria. While scoring is being built into more and more recruitment systems, Henry is keen to point out that this is a complex, multi-million pound product, not a “quick ranking” tool. Clearly one of the features that sets SeeMore apart is the 6Sense semantic search technology. Semantic search understands concepts and context. In a typical keyword search all sorts of results are returned but a semantic search really understands what you are looking for. “So if you keyed in ‘Ford’, it could be a name as in Harrison Ford, or Ford Motor Company or it could be Ford school,” explains Henry. “Our system understands the difference between those things.”
