Blog Post melds SaaS, big data for job searches (s mww) is getting into the cloud-computing mix with a new “semantic search and analytics platform” service called SeeMore, which it launched on Thursday morning. Merging two hot capabilities — cloud-based delivery and analytics — makes a lot of sense for Monster, which no doubt supplies many companies with a lot of data in the form of resumes. Giving them a relatively pain-free way to make the most of that information only makes Monster that much more valuable.

Although it’s a very niche solution, SeeMore addresses a very typical big-data problem: finding the needle in the haystack of unstructured data. Resumes and other job-application materials aren’t easily broken down into information that would fit nicely into a relational database, so searching through them to find relevant information requires lots of man-hours or specialized tools. Something like Hadoop might be overkill, but SeeMore seems to fit the bill.

Especially now, with unemployment rates higher than at any time in recent history, employers are seeing lots of applicants for every job they post, on top of the unsolicited resumes they no doubt receive. With so many choices, it’s very likely that the ideal candidate has sent in a resume, but it’s also that much easier to miss that resume.

SeeMore actually takes it a step further by centralizing all of a company’s resumes in the cloud, meaning companies might be able to fill an opening with the ideal candidate, even if that person only applied for a different job and via an entirely different channel. Semantic search is key to the process, because employers can search based on broad skill sets instead of just keywords, and the system applies context to the information included on the resumes in order to pull the right ones.

A quote included in the press release sums up Monster’s new service nicely:

‘With the introduction of SeeMore, we are transforming recruitment and talent management by taking our state-of-the-art 6Sense semantic search and applying it to resumes beyond Monster,’ said Sal Iannuzzi, Chairman, President and Chief Executive Officer, Monster Worldwide. ‘Employers can now assess their company’s talent databases in one central location so everyone can be found easily, regardless of their point of origin. This, paired with the benefits of semantic search and analytics, enables companies to be more precise about their talent matching needs, reduce the time and cost of acquiring and managing talent, and improve the quality of hires.’

However, while SeeMore is great for Monster and its customers, it signals what should be a broader trend toward merging big data and cloud computing. The cloud makes it easier than ever for companies to consume niche services, and easier for providers with those niche skills to deliver that service. Data just happens to be a great focal point for a service that everyone now has mountains of and is starting to realize is actually valuable. Helping companies make the most of their data in a particular area, or even giving them access to your data in that field, is becoming a great way to drum up new business.

Image courtesy of Flickr user Brooks Elliott