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 37th annual SIM IT Trends Study found that analytics continues to be an important strategic investment for organizations.
The new A2 cartoons highlights the big data privacy question that nothing comes for free.
Today's data analyst needs to understand the factors that have an impact on their research, and the best way to gain that understanding is the good old library.
The right blend of analytics and experience can be the key to success in any market, but perhaps no place more than in retail. Join A2 Radio today at 2 pm as we are joined by author and SAS retail expert Brittany Bullard.
Those delving into data science have to learn the important difference between prediction and explanation, as we discovered in post-election discussions and finger-pointing.
A2 Radio: Can You Trust Your Data?
Retail Analytics: See Where Style Meets Statistics
Why the IoT Matters to Your Business
Will Data and Humans Become Friends in 2017?
We Can Build Smarter Cities
Visualization: Let Your Data Speak
How Colleges and Tech Are Grooming Analytics Talent
How Machine Learning Takes Handwriting Recognition to New Levels
A Look at Tomorrow's Data Scientist
Analytics and the Making of a President
Analytics: Where We've Been, Where We're Going
International Institute for Analytics Research Library