If you already possess analytical and data science skills, then you are in a good position to take advantage of the coming hiring boom, or to launch a consultancy yourself.
Nearly every organization around the globe is in hot pursuit of data scientists. But among this relatively rare and very desirable bunch, what traits and skills are most desirable?
Big data analytics, for all their spectacular achievements, are still in their infancy and nowhere near sophisticated enough to replace human analysts on an appreciable scale. That's a fact that Lockheed Martin, a major defense contractor, keeps dead center in its sights despite their naming their marquee product "LM Wisdom."
States in the U.S. are releasing data from public universities and community colleges on average graduate earnings by college major to help students and parents choose degrees that will provide the best employment opportunities and the highest incomes. But will this tactic backfire?
While big data was introduced to the general public on the heels of the Snowden revelations with alarm and warning sirens, big data projects in the private sector have become so commonplace that they no longer see much fanfare. One of the quietest fronts is in human resources.
For the first time, jobs at every level are potentially at stake and subject to elimination thanks to big data and automation. Most likely new jobs will arise as they have in the past as mankind progressed. But there is no guarantee of that this time around.
An interesting post in USA Today by former San Francisco 49ers running back Roger Craig gives us an inside look at how sports has changed courtesy of big data and what we can expect next. Fans and athletes, are you ready?
Data Divination: Big Data Strategies was written to focus entirely on strategy from how to accurately calculate ROI, present a winning business case and empower your workforce from the CEO down, to developing overall and project-specific strategies that actually work.
One of the hottest uses for big data and analytics is in sports and SAP is certainly making big headway in that sector. Just recently, SAP HANA was credited for its essential role in winning games in sports ranging from basketball and football to the 2014 World Cup and women's tennis.
If statisticians learn to do more than write code in the way of computing skills and data scientists begin to perfect their skills in statistical analysis--might the two professions merge into one? And if so, what title will be etched upon their office door?