English

David Smith 2
Breaking down the great walls of data

Despite many experts touting 2016 as a significant year for innovation, IT is still chaotic, with many teams stuck in an old world. Organisations are implementing countless digital and data projects in an attempt to improve business models and streamline processes. Sadly, these rarely reflect any kind of coherent company-wide IT

Kelly McGuire 2
9 Ways for Hoteliers to thrive in 2016

2015 was a busy year for the hotel industry. ADR, Occupancy and RevPAR achieved record highs. We saw extensive merger and acquisition activity, culminating at the end of the year with the acquisition of Starwood by Marriot and Fairmont by Accor (and don’t forget Expedia’s Orbitz acquisition, of course). Favorable

Machine Learning
Christina Engelhardt 0
Come chat with us!

In today’s world of instant gratification, consumers want – and expect – immediate answers to their questions. Quite often, that help comes in the form of a live chat session with a customer service agent. The logs from these chats provide a unique analysis opportunity. Like a call center transcript,

Jay Laramore 4
A fun holiday problem in PROC IML

Santa Claus and his elves are gearing up for another holiday season, busy filling orders and wrapping gifts for all of the good little boys and girls. Since snowglobes are popular gifts this year, Santa Claus has dedicated an entire department to build and wrap the 32,768 snowglobe orders that

Paula Brown 0
Creating the care we deserve

Earlier this month I attended my first Forbes Healthcare Summit, where the stated goal for this year was to “figure out how to create the kind of care we know we deserve.” The event offered a unique gathering of pharmaceutical, health care and biotechnology chief executives engaged in frank discussions

Internet of Things
David Pope 0
Big data is coming to town!

You’d better watch YouTube, you’d better not cry You’d better not post, I’m telling you why Big data is coming to town He’s making many lists (and selling them too), he’s writing it twice (for redundancy’s sake), He’s gonna find out whose naughty or nice Big data is coming to town

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