Big Data recruiters
It’s no secret that companies — particularly small businesses and startups — face challenges when it comes to finding and hiring the best possible talent. While it’s true that the age of the internet has made a wealth of information available on potential candidates, wading through all that data can be a considerable time (and money) suck. It’s enough to make you miss the good old days when referrals were the only way to find employees. (In fact, referrals are still an important factor, but more on that later.)
What’s certain is that big data is the future of job recruiting and development, and understanding how to make sense of it will be critical to a company’s success. These days, big data is helping fast growing companies find their perfect engineers, developers and executives. And everyone can say they have access to big data with LinkedIn, G+ and other profiles on the web. However, you can’t just “data mine” your way to the right candidate; you need the right tools to analyze it, and the right people who can provide meaningful insight.
There’s no shortage of workforce analytics and applicant tracking systems designed for recruiting purposes, and many are great at gathering and aggregating “transactional information.” But the trick isn’t merely in collecting the data–it’s in interpreting it, and understanding the importance (or lack thereof of) each data point. Systems like Hadoop are great at gathering large amounts of data, but there’s still a fundamental problem, because people don’t know what they don’t know.