IT support levels for different processes and business applications depend on many factors. So how are analytics projects generally supported? It's common for IT to view the implementation of advanced analytics as part of a production job or process, especially when analytic models are deployed into different operational systems that are
People who know me know that there’s one thing I hate at work – duplication of efforts. I’m not talking about working on a problem in a coordinated fashion. I’m talking about two or more people doing the same work, to answer the same question. Without coordination, there will be
In this interconnected world, it is more important than ever to understand not just details about your data, but also how its different parts are related to each other. Social networks reveal often surprising details about what people think about your product or services, how they are linked to other
I had the opportunity to moderate a roundtable discussion on risk management at the International Institute for Analytics’ (IIA) winter symposium in Orlando earlier this month. I set the stage for the session with a brief overview of my favorite risk approach, “Competing on Value”, by Mack Hannan and Peter
When the Apple Macintosh hit the market, analysts were not impressed. But Steve Jobs’ vision ended up transforming our lives. Apple is celebrating its 30th anniversary this year and has become a global household name. Jobs’ ability to direct his organization to develop easy to use products not only met
I was recently part of team discussing enterprise architecture with a chief IT architect, and we were explaining how SAS can integrate into their existing infrastructure, add business value on top it and even fit into their future planned infrastructure. This conversation was one of the reasons I blogged about
Valentine’s Day is one of those make-or-break holidays for gift retailers. They are selling "nice to have" items, not necessities. Many use some type of analytics to segment customers for personalized messages. It's not as straightforward as it sounds, especially if the organization hasn't committed to an enterprise-wide approach to
When the Seattle Seahawks won the Super Bowl, they didn’t do it because of just one factor – a great quarterback or an amazing running back. It was widely considered a team effort, helmed by a visionary coach who worked on developing a strong culture, cultivating the right players and
Acronyms are funny things. Need an example? Try decoding this sentence: How is event stream processing (ESP), applied to electrical submersible pumps (ESP) in the oil and gas industry, like extrasensory perception (ESP)? Even if you had extrasensory perception you would still need some clarification if that sentence contained acronyms only.
Interest in "data" is at an all-time high. The popularity of search terms like "big data," "Hadoop" and the "Internet of Things" spiked dramatically in the past year. The fact is, organizations are more interested in the potential of big data platforms and data management solutions than ever before. That’s
