Volatility. It’s a business reality for energy market participants and it’s been a wild ride for the oil marketing business over the past few weeks. How has your energy risk data helped you navigate the recent increase in volatility and precipitous price drop? This month, we are launching a recurring
This week I’m going to “fill in” for Natalie to complete our series on “What can Hotels learn from Casinos”? (Look for parts 1 and 2 here and here, respectively) Today I’m going to address pricing. We all know that great entertainment comes at a price, and we also know
Perhaps the greatest legacy that Ford Motor Company’s former chief executive, Alan Mulally, left behind is a culture of analytics. Ford began using analytics in the late 1990’s, but it wasn’t until their financial woes in the 2000’s and Mulally’s arrival in 2006, that analytics started to be used regularly for
I have been on a whirlwind tour locally here in Australia visiting existing SAS customers where the focus of discussions have centered around SAS and Hadoop. I am happy to report that during these discussions, customers have been consistently surprised and excited about what we are doing around SAS on
If you are a citizen of a western industrialized country and were born in the 1970s, you probably grew up in a multicultural society. Personally, I come from such a society and I was always extremely excited about meeting people with different cultural backgrounds. My classmates and friends came from
Last week, I was fortunate enough to attend the Insurance Networking News Analytics Symposium. This great event had several engaging speakers. As analytics becomes more prevalent within insurance, it was refreshing to see that many organizations discuss their successes and share best practices in this essential aspect of the business.
Did you know: For 13 percent of car buyers a new vehicle without internet access is a no-go? Obviously, no-go means no-buy. Thirteen percent! If I have ever seen a market demand, it is this. For sure, the industry will respond to that. The management consulting company Bain even expects
You know the drill. It’s a steamy July morning, and you’re headed out for the day. You open up your go-to weather app to find out if you need to lug your umbrella around. The forecast says, “Sunny with a 30 percent chance of thunderstorms.” What does that mean, exactly?
This is the second in my two-part interview with Dr. Tom Davenport, analytics thought leader and author of Big Data @ Work. We caught up in Dublin to talk data science model management and the skills gap. Previously, we discussed big data and the Internet of Things in part one of
Companies like Amazon, Netflix, Zappos and Pandora have changed what consumers expect from a brand – they want brands to “know” what they want before they ask for it. To provide those kinds of personalized products and services, brands have to collect and analyze huge quantities of customer and industry
