The US health care industry is always getting a bad rap. It takes heat for being too expensive or not efficient enough or just too complicated. We know we need it, and that living long and healthy lives requires it. But we also know we love to complain about it
Jill Dyché, internationally recognized speaker, author and business consultant, spends her days talking to businesses about big data – how they’re using it, challenges, successes, strategies, plans and more. What she’s hearing again and again from IT leaders is that they have to innovate with big data, move quickly and
The Google Flu Trends application has received negative press since 2013 over its inability to accurately detect flu outbreaks. The latest critique, “The Parable of Google Flu: Traps in Big Data Analysis,” from Science magazine compares Google Flu Trends data to CDC data and dissects where the Google analysis went
From time-to-time marketers, journalist, and thought leaders find ways to describe things in a new way. It’s a time-honored tradition guaranteed to attract eyeballs and sell books. Lately there has been a lot of buzz about the Internet of X, a way of describing a uniquely identifiable collection of objects
Twas the night before "big data," when all through the data center Not an IT supervisor was stirring, not even the help desk on-call. The servers where all humming along nicely in hopes Big data would soon be there. The business users were nestled all snug in their offices
As the “Year of Statistics” comes to a close, I write this blog in support of the many statisticians who carefully fulfil their analysis tasks day by day, and to defend what may appear to be demanding behavior when it comes to data requirements. How do statisticians get this reputation? Are we
How does Hadoop fit into your IT architecture? Does it replace your data warehouse, or complement your EDW? How can you access data in Hadoop? And what is the best way to take advantage of the parallel processing capabilities of Hadoop for advanced analytics? These and other questions are answered
Yes, we have all heard about the 3 V's of big data by now. Or the 4 V's or possibly 5 V's, depending on who you ask. However, I would argue the value of data isn't necessarily tied to the "volume" part of big data (unless of course you are a
After Mike Olson sold his start up to Oracle, he wanted to do something other than databases. It was 2008 and there was a new open-source software called Hadoop that caught his eye. It was aimed at a new class of data problem, addressing the kind and amount and speed
According to entrepreneur Gilad Elbaz, “The world is one big data problem.” And as a big data researcher and writer, Andrew McAfee is staking his career on it. McAfee spoke to a crowd of business and industry executives at The Premier Business Leadership Series in Orlando, FL, to put the topic
I first spoke with Jill Dyché in March about her "Big data in big companies" research with Tom Davenport. They had interviewed a handful of organizations, including Bank of America, Wells Fargo, Citibank and UnitedHealthcare. They ended up speaking with executives from more than 20 companies about their big data
What do you get when you put a dozen big data pros around a table to discuss the real (not over-inflated) effects of big data on the organization? An honest discussion around what big data is and what it isn’t, what Hadoop can accomplish and what it cannot. Where did
If you're looking for an honest discussion around big data and IT from one technologist to another, look no further than the recent Forbes article, "SAS CTO On IT And Big Data Analytics."* In it, Keith Collins discusses Hadoop, shadow IT and more. Three excerpted points you won't want to
Accessing computing resources must feel like playing Monopoly in some organizations. If you can out-game fellow analysts or have more-than-a-little luck, you get your report when you need it. If you can’t, you don’t pass Go and have to wait your next turn in the queue . . . whenever
John Taylor likes computer data the way he likes big trout: here, there or anywhere. Which is perfectly natural, considering he’s the data analyst in the Inland Fisheries Department at Texas Parks and Wildlife. Taylor describes his unspoiled enthusiasm for big data and big fish in this sendup of Dr. Seuss that
Industry-changing dynamics like mobility, smart products, social media and embedded computing put a premium on big data and the insights you can gain from organizational data. As a result, the opportunity to be disruptive with analytics has never been greater. Yet, when it comes to making analytics work, not all organizations
Would you like to know how some of the largest and most successful organizations are getting value from their big data? Tune in to AllAnalytics.com today at 2 p.m. ET (US) to find out. In their recently published research report, Big Data in Big Companies, renowned analytics thought-leader Tom Davenport
Big data. It’s still the hottest topic going – and making it pay off continues to be a challenge. According to a recent IDG Research survey, organizations’ biggest big data headaches are: 1) lack of skills needed to run analysis and 2) difficulty in making data available to users for
SAS Global Forum 2013 provided a platform for SAS to share its vision. If you couldn't make it to San Francisco, no problem, I have interviewed our key thought leaders to bring you their thoughts in a game of buzzword bingo. First up is Paul Kent, SAS' Vice President of Big Data. Paul
The Data Visualization Charting 101 seriesexplores different tools to visualize data. Check out other posts to see which data visualization is right for you. My grandmother often used the saying “as the crow flies” when giving directions, referring to a straight line being the shortest distance between two points. When
What does big data know that you don't? It could be a new source of revenue, a budding consumer trend or ... something sinister! Find out what big data knows in this funny but telling video spot: Look familiar? Do you know that guy? Share this funny big data video
The Data Visualization Charting 101 series explores different tools to visualize data. Check out other posts to see which data visualization is right for you. Have so much data that your head is spinning? If you have a lot of data that needs to be visualized, a scatter plot, aka
What do you see when you look at the picture to the right? Like you, I see a busy dad with his daughter trying to maneuver a shopping cart full of groceries! But the real question: is there more? What do you really see? In a business setting, depending on
A few weeks ago, we asked, "What would big data say if it could talk?" Today, we might ask, "What if big data had a mail cart?!" It's a fun metaphor that shows how overwhelming big data can be without a strategy for managing it. Watch the short video below
As a boy growing up in the 1970s, I was fascinated in particular by dinosaurs. I knew all their names, Tyrannosaurus Rex, Diplodocus, Triceratops etc. And I could also remember in which geological time period they lived, and on which continent; and what they ate, often each other of course!
Big data might be daunting, but Matthew J. Becker, Senior Director and Global Head of Statistical Programming at inVentive Health Clinical, says the goal remains simple for those in health care and life sciences: cure disease and improve health outcomes. Speaking last week at SAS Global Forum, Becker noted that
When users attend SAS Global Forum, they often look forward to hearing from the big names of SAS. To name a few: CEO Jim Goodnight, VP and CMO Jim Davis, and Co-Founder John Sall. Inside SAS Global Forum caught up with these busy executives on the demo floor to talk about SAS
The Data Visualization Charting 101 series explores different tools to visualize data. Check out other posts to see which data visualization is right for you. What comes to mind when you hear the word bubbles? I think of the fact that it’s getting warmer outside and prime time for my
“Faster, Higher, Stronger” is the Olympic motto. In a Keynote Lunch presentation at SAS Global Forum, Tim Patrick, Director of Enterprise Applications for the United States Olympic Committee, explained how technology, data analysis and visualization are helping fulfill that mission. After a successful showing at the Vancouver games, Patrick and
Paul Kent, SAS VP of Big Data talks to us at SAS Global Forum about working with Hadoop and the significant impact it has on SAS customers. Watch the video to learn how one Japanese real estate company used this technology to gather data from elevator stops in high-rise buildings. The
