Demand for Data Scientists and the Datification of Business
Source: EMC2 Survey.
Datification means we have more and more data to measure things and organizations are increasingly dependent on data - both internal and external - to optimally operate to compete and win. It is also about taking a process or activity that was previously invisible and turning it into data. That data can then be measured, tracked and monitored to optimize processes, make better decisions and innovate.
It is prudent for organizations to capture, store and analyze any and all information, even if they're not sure what insights the data will provide. Later the organization can decide what to look for to make better decisions on the operational level, innovate new products and services on the tactical level, and make game changing shifts on the strategic level.
Comment
-
Comment by SUNIL NAGRA on October 19, 2015 at 10:03pm -
Informative...
-
Comment by Chris on July 27, 2013 at 11:33am -
Michael, you tackle the right itch of the current hiring situation in the U.S. Companies hopelessly look for the right person to the right job, the career track is new, countless underemployed and unemployed (not to mention the security clearance bottleneck).
Anyway, the career track is different than the traditional database ten years ago. You also hear the issues of "office culture, team spirit, fit the culture"...The problem is, corporations and HR are too lazy to look beyond their demands and find a solution to the core issue: a green career field and the need of training vs. culture fit issue; Meaning either you hire based on character standards, or you lower the culture fit issue and invest in training instead. Even the government is also lazy too in their core issue the need of filling jobs and the reluctancy to trust beyond "inner circles".
Follow Us
Top Content
Announcements
Videos
Resources
© 2017 Data Science Central
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
You need to be a member of Data Science Central to add comments!
Join Data Science Central