Synopsis:
Many innovative businesses and IT organizations appreciate the competitive advantage analytics capabilities can provide and have ambitions to reach increasing levels of analytics maturity. However, the well-documented shortage of analytic talent leaves many firms without a strong analytic talent bench and little knowledge about how and where to find analytics professionals needed to get there.
In this presentation, Greta Roberts will discuss results of a major quantitative Study of the "raw talent" of professional analytics professionals. This Study crossed industries, experience and skills.
Practical insights shared will include: raw talent characteristics businesses are looking for in their analytics professionals, trends and correlations that lend unexpected insight into how organizations are building a strong and scalable analytic talent bench.
Attendees will be provided with the ability to compare themselves to the Analytics Professional benchmark for no fee.
About the Speaker:
Greta Roberts, CEO, Talent Analytics [http://www.talentanalytics.com/] , Corp.
Greta Roberts is the CEO of Talent Analytics, Corp and a faculty member at the International Institute for Analytics. She has 20+ years working for world-class technology innovators like Lotus, Netscape, WebLine, Cisco and Open Ratings.
Under her direction, Talent Analytics has grown to be a leader in predicting employee behavior — the next logical step beyond predicting customer behavior. In 2012, she led a Research Team with the International Institute for Analytics that resulted in the world's only Benchmark for hiring Data Scientists / Analytics Professionals.
Greta is a sought-out thought leader, presenter, and author. In 2013, she has spoken at the Predictive Analytics World events around North America, SAS Day at Kennesaw State, SAP Sapphire NOW, IIA's Chief Analytics Officer Summit, SAS's Analytics 2013 & other major analytics & business events. She is also a frequent guest on the SAP's Game-Changers Radio Show. Greta has recently been quoted in MIT Sloan Management Review, the Harvard Business Review blog network, Forbes, VentureBeat, Information Management, Computerworld, Data Informed, Tech Target, and many other major influential publications. Follow Greta on twitter @GretaRoberts [ https://twitter.com/GretaRoberts ].
Microsoft [ http://microsoftnewengland.com ] for providing awesome venue for the event.
a2c[ http://a2c.com ] for providing the food/drinks.
cognizeus [ http://cognizeus.com ] for providing book to give away as raffle.
For more than a decade Talent Analytics has been focused on modeling employee performance. Analytics has advanced – predicting and optimizing human performance – but with customers. Talent Analytics uses many of the same analytics approaches to model and optimize human performance– but with employees.Do a search on the term Talent Analytics. Even over the past 6 months there has been a huge explosion of interest in and solutions for these kinds of solutions. 95% of the Talent Analytics solutions out there are focused on taking existing activities and trying to use them as a proxy for inferring an understanding about employees.Talent Analytics is perhaps the only company in the world taking an analytics approach to directly measuring employee characteristics.Talent Analytics has been at least a decade ahead of the curve. Their solutions are tested. Mature. Advanced. High tech. Scalable and ready for deployment today.
“Give me someone curious and they’ll teach themselves . . .“
I wanted to begin with showing what all 4 clusters have in common. This slide shows a graph type called a Density Plot. Along thebottom (or X axis) we are measuing CURIOSITY. As a point of reference a BELL CURVE is a DENSITY plot as well. What you can see is that all 4 clusters are extremely curious. Every single position in our study showed people working in the role who were deeply curious, eager to learn, research oriented – people who are motivated by solving very sophisticated problems. NOTE: WHAT WE ARE MEASURING HERE IS CALLED RAW TALENT. THIS IS NOT SOMETHING YOU CAN TRAIN
IN this slide we are measuring another RAW TALENT characteristic – Creativity. We can see that all clusters tend to being highly creative people. We’re not coving it in this presentation – buit we did ask about people’s college degrees and majors and a very small percentage of people had a crativedegree.meaning to find these folks requires another way other than college degrees or majors.
Density plot – showing the likelihood one person would