Wednesday August 6, 2014
OK, so what is an HR Innovation blog doing writing about trashy economic indicators. Well, here's the thing. This is a big data story. All this information about trash: how much is shipped, what kind of trash it is, how many tons are discarded and who's discarding it is all compiled and kept in multiple, unrelated, obscure data bases. Someone had to find, compile analyze and interpret all this data to find the patterns that represented useful information. The same sort of anthropological expedition is there for HR professionals as well.
Last year I wrote a blog post titled "Big Data Should Be a Big Deal for HR." All this trash talk got me thinking about big data some more. So much information is collected in so many different places. Companies collect terabytes of data about their employees; social and professional media adds even more data, so do our schools, our volunteer organizations, our churches, our governments, our local PTA. They all have records about people. Some of this data means very little and is perfectly content to be obscure. Other information is a gold mine that provides useful information about who we are, what we do, what we like to do. In other words: Human Resource Information.
The problem (or challenge) that confronts us is how do you dig through all the trash (OK - I know I am overdoing the analogy) to find what is really meaningful. But it is going to happen. Technical tools are being developed and researchers are busy exploring new ways to find these deposits of data and figure out how to mash them together to find new patterns and new uses of the information. HR professionals sit largely on the sidelines of this frontier. It's a shame; it will be one of the biggest trends that change HR in the next decade.
One important outcome; that highly qualified person who was laid off 3 years ago, we'll find him/her. Which means you will too. Unfortunately most resource discovery tools treat people with blips in their career as discarded trash (that simply isn't found).
At Innotrieve, we've used AI based resource discovery tools to lead the way in finding how to use advanced searching and matching techniques to discover talent that others will leave behind.