By now, we're all familiar with the notion that big-data is a big deal. Now, if you could only figure out what that means for your organization's particular situation and how to make the business case for big-data. It's time to think big, as recognized technology expert and award-winning author Phil Simon recommends in his latest book, Too Big to Ignore.
Tune in as Simon, in his inimitable style, tells us why big-data is worthy of its trendiness -- and not a fad to wish away. You'll hear:
- Why big-data matters
- How leading companies are taking advantage of big-data -- and how you can, too
- How to separate big-data myths from reality
- What a big-data world means for humanity
If you are already a registered user of AllAnalytics, please login to access this content without re-entering your information.
The Solid conference on new technology highlighted not only the opportunities for the Internet of Things but how analytics pros have to be deeply involved in IoT initiatives.
Robert delves into the psychology behind "the dress" and how men and women label colors.
Members of the All Analytics community are invited to take part in a survey by Blue Hill Research as the consultancy compiles a profile of the modern data analyst.
HR analytics is getting good enough to predict when people will leave, but just because you can predict it, doesn't mean you can do anything about it.
Analytics pros and their business unit partners have to keep the scope of an analytics project in perspective and not make assumptions about missing data.
Survive the Digital Transformation
Health Analytics: Find Data Beyond the Hospital Doors
Finding Answers Through Prescriptive Analytics
Visualization: How to Bring Data to Life
Learn Why Analytics Are at Home in the Cloud
Analytics: Your Defense Against Cyber Threats
Big Data & Big Pharma: How Analytics Might Save Your Life
Live Interviews From SAS Global Forum
How to Hire Great Analytics Talent
Sports Analytics Mean Fun and Business
Secure Your Big Data in the Cloud
While 97% of insurers say that insurance fraud has increased or remained the same in the past two years, most of those companies report benefits from anti-fraud technology in limiting the impact of fraud, including higher quality referrals, the ability to uncover organized fraud, and improve efficiency for investigators.
SAS Best Practices & Training