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?
Ronald L. Wasserstein, executive director of the American Statistical Association, speaks frankly of the top eight challenges big data poses to statisticians--and the opportunities it presents as well.
Politico's big data event is today (July 9th) at noon EDT at The W Hotel in Washington, D.C. The discussion is on how government and private companies are harnessing big data to inform decisions, shape policy and affect communities.
Data on the most closely held companies is open to media for mining--and it comes free of charge.
Got something to say or ask about big data? Email it to me with permission to publish and you just might find yourself in the Spotlight section in an issue soon!