APRIL 3, 2013 BY MATT TURCK: We had an all star event on March 19 at the New York Data Business Meetup with some great presentations and discussions (and some fun stuff as well: see Jeff Hammerbacher’s first few slides about how the term “data scientist” came to existence). Videos Include: Platfora, Think Big Analytics, Greylock Partners, and Cloudera.
This article contains a look inside core features of specialized data analysis languages: MATLAB, R, and Julia - @avibryant | |
By Piyanka Jain, CEO of Aryng. "I came across the term “data scientist” a few years ago when somebody (from the valley, of course) asked me, “So are you a data scientist?" And my immediate answer was, “No, I am not a scientist." Although I already had spent a decade in the data space, driving business impact through analytics, I did not see myself as a scientist..."
You’ve heard about the exploding field of “Big Data” and how predictive analytics will help companies achieve competitive advantage, increase revenues & profits and optimize performance. But what’s noticeably missing in the discussion is using this technology for HR and predicting workforce behaviors. In other words, not simply reporting & tracking “what happened” but predicting “what is likely to happen, and how you can be better prepared.”
. How will job applicants with certain profiles perform in various roles?
. Which high performers are most likely to leave the company?
. Who has leadership potential?
. How often will people be absent from work?
. When are various types of people likely to retire?
This article from CFO.com identifies what’s preventing companies from using predictive analytics for managing human capital. Read more on CFO.com
In this OnDemand webinar, you will learn how and why the techniques pioneered in 5 specific info graphics and visualizations make these visualizations categorize them as the five most influential and the reasons you may want to incorporate these techniques within your own projects.