Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher. If you still want to be deeply involved in the new data-driven economy and well paid, the growth rate and opportunities as a data engineer or business analyst need to be on your radar screen.
Data is growing, and hence is the requirement for perfect decision making by companies. In this era where analytics is the new buzzword, companies are looking for able and determined Data Scientists.
But as always, the quest to get the sexiest and the highest paying job is not an easy task. For acquiring such a demanding position one must be well skilled and experienced.
Don’t freak out! Because now a days a lot of resources and tips are available to be perfect in what you are…Continue
Added by Sukanya Mohapatra on April 15, 2016 at 4:30am — No Comments
By Pasha Roberts, Chief Scientist & Co-founder, Talent Analytics, Corp.
Over the years, our firm has had many discussions with employers on the eve of a new talent analytics project. Often, it is the firm’s first deep-dive look at employee data. Sometimes we act as a strategic sounding board, and sometimes we can help them move directly forward into predictive analytics. It is always interesting.
This article will discuss two analytics approaches that we have…Continue
Added by Mike Kennedy on February 9, 2016 at 4:30am — No Comments
Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the enterprise. What’s holding them back?
In an earlier posting we argued that much of what is holding companies back from…Continue