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.
Perhaps I should have titled this post, "Riddle me this Batman..." Bam! Zap! etc.... now back to our regular scheduled blog post, where we explore the many lessons that can be learned from one industry to the next. Let's start with one of the easier comparisons: How is an
Are you uncomfortable with analytics? Do you know someone who is? One reason might be that they think of predictive analytics as magic rather than science or fact based. Good magic amazes people and so do good analytic based reports and decisions. Being able to predict what product or service
Our perceptions can impact others and influence decisions. As a result, I always like to understand each customer's perception of what SAS is and what we do. There is no right or wrong answer to this question, however the response provides me with a chance to listen to our customers.
Engineers who implement process control can use analytics to think outside the of box. Better yet, they can use analytics to help solve the issues and risks associated with being inside the box or outside the box in the first place. Read on to learn what box I'm referring to
The value of analytics to solve multiple business problems really makes analytics the ultimate reusable business investment, or as they say in the energy industry, it may be called a renewable resource. As I've commented before, organizations spend billions of dollars on storing data, and unless you happen to be a
With all due respect to Microsoft, I am not talking about that type of ppt, but instead I am referring to people, process, and technology (PPT). SAS helps to solve all types of problems because we bring more to the table than technology; we help our customers get answers to
According to Forbes, a comprehensive "big data" strategy is vital because without one your business will miss out on at least 71 million dollars a year! To me this means your "big data" strategy should be more focused on how best to derive value from your data instead of focusing
It goes without saying that if you know the value of analytics, it can sometimes be frustrating when leaders who may not have an analytic background do not understand or see the difference between basic reporting and advanced analytics. At SAS, we often refer to those two very different things
Organizations must find the right balance between tactical use of their data and strategic use of their data. The following statement encapsulates the difference between an application that was primarily designed from a tactical perspective versus a strategic one.: "Thanks, you delivered what I asked for (tactical), but not what I
As you might have heard, Dr. Jim Goodnight has a passion for helping customers solve problems. I've been thinking about Dr. Goodnight's background as I read up on the trendy "data scientist" term and wondering whether the SAS CEO was in fact the very first data scientist. Let's review the
