Are you experienced?

Almost fifty years ago, a band emerged from London that changed the landscape of rock music and set a new standard for musicianship. The band was The Jimi Hendrix Experience, and their front man redefined what it meant to play a guitar. Hendrix took an inanimate object – the same […]

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Four levels of Hadoop adoption maturity

So you’ve been monitoring or are already on the journey with Hadoop -- and you’re wondering: Where are we on the adoption curve compared to the market in general? Based on my interactions with numerous companies, I want to share what I think that curve looks like so that you […]

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The New Analytics Experience: Build a culture that embraces big data challenges

Big data. Streaming data. Complex data. We’ve all heard the reasons why organizations feel like they’re facing an insurmountable data challenge. Now, it’s time to do something about it. For the past few years, SAS has helped some of the world’s leading companies make sense of an avalanche of data. […]

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Ten quotes to inspire your next big data project

Are you embarking on a big data project or implementing a new analytics program and need some inspiration? I'm not the kind of person who buys posters of inspirational quotes to hang on my office walls. But I have been known to scribble a favorite quote on my office white board. And to share quotes […]

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Big data use cases and the big data wake up call

According to recent studies on big data readiness, the majority of companies (more than 60 percent in the latest study of Crisp Research) are not prepared for the challenges of digital transformation. In fact, 58 percent of decision makers surveyed say they have no strategy in place. The quest for […]

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Helping retailers get their unfair share

USA Today recently published an article titled 10 retailers take two-thirds of your money. The story highlights the revenue distribution among the Top 100 retailers in the S&P 1500. It was startling to see that such a small number of retail powerhouses take in such a large percentage of consumers’ income. […]

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Use Hadoop to visualize what wasn’t visible before

You might have lots of data on lots of customers, but imagine if you could suddenly add in a huge dollop of new, highly informative data that you weren’t able to access before. You could then use analytics to extract some really important insights about these customers, allowing you to […]

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Hadoop is dead! Really?

After reading Gartner's 2015 Hadoop adoption study results by Analysts Nick Heudecker and Merv Adrian, the first thing that comes to my mind is Goethe's phrase from Egmont, "Himmelhoch jauchzend, zu Tode betrübt." Translated: heavenly joy, deadly sorrow. What happened to yesterday's hype around the cute yellow elephant - which […]

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VirtualOil: volatility and the value of a hedge

This month we take a fresh analytical view of our hypothetical VirtualOil portfolio by comparing the forward price of WTI (the green line) to the prompt month price (red line). The resulting graphic (chart 1) demonstrates the relative stability of the 48-month forward price in contrast to a very active spot […]

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Want to profit from Hadoop? Consider these 4 reasons for developing a big data innovation lab

How can you use an innovation lab to be as agile and innovative as a startup? Are there different types of innovation labs and if so what is the difference? I answered these two questions in previous posts, and now I will answer a third pressing question: how can you build the business […]