David leads the pre-sales technical team for SAS US Energy which solves business problems in the Oil & Gas and Utilities industries using advanced analytics. He is a lifetime learner who enjoys sharing information and helping others to grow their careers. He earned a BS in Industry Engineering and a Computer Programming Certificate from North Carolina State University. Furthermore, he has over 29 years of business experience working with SAS across R&D, IT, Sales and Marketing in the Americas and Europe. He is an expert in working with data and producing insights through the use of analytics. David has presented at SAS Global Forum, the 2012 SAS Government Leadership Summit, IBM’s Information on Demand(IOD), EMC World, CTO Summit Conferences, is the author of the book: "Big Data Analytics with SAS", and he currently holds 14 patents for SAS in several countries: US, CA, Norway, UK, China, Mexico, and Hong Kong.
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
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.
Your cross-divisional analytics team may be called many things, including a business analytics center of excellence or a business intelligence competency center. Regardless of what it is named, you will need to pick up your PACE (predictive analytics center of excellence) or be left behind. To really see the benefits of
As more and more data is being collected and analyzed, it becomes even more important to have a strategy in place that will allow you to get value out of your data. Since it's humanly impossible for your brain alone to process fast streaming data, an event stream processing (ESP) engine
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
Over the years, in all my roles within SAS, I've been asked by customers, friends, family and all sorts of people, "What does SAS do?" Bottom-line: SAS delivers results across the organization, because that is what it was designed to do. Specifically, SAS was designed to deliver analytic results, which
Jennifer Whaley, one of our energy analytic utility experts, and I were talking about customer demos recently and discussing the work that goes into a proof-of-concept done with customer data. If you've never been directly involved in preparing for a customer demo, you probably don't realize how much time and effort
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
Analytics, to me, has always been about continuous education and giving people the chance to learn new insights. The SAS Day at Houston CityCentre earlier this month is a shining example. Hosted by the Department of Statistics as Texas A&M University, the event showed how analytics guides decisions across many
From what I've seen, the energy industries appear to be at a tipping point in their interest and adoption of advanced analytics. If there's any question about how analytics can be used to benefit these industries, consider a few examples:. How much demand for electricity will there be and when?
