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.
You may have heard the phase that big data is the new oil. Well (pun intended), if that is the case, then analytics should be thought of as the fracking technique used on data to improve the value you get from this new oil. Fracking is actually just one
IT folks love SQL (Standard Query Language). Once you know how to program in SQL, you can work with almost any database because it is a standard. However, SQL is NOT a standard for doing analytics. The SAS programming language pre-dates SQL and even though SAS does SQL, SQL does not
Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why
In the energy industry, oil and gas companies as well as utilities are struggling with many changes at once. First, they're facing what the oil and gas industry has coined "the big crew change," meaning the retirement of those with the most skills and experience on how to run their
As a follow up to my previous post that described analytics in one word, I decided to revisit my choice of the word "strategic" with a video. If the adage "a picture is worth a thousand words" is true, you'll like this version even better than the original. Watch the video
Data federation is a relatively new term used to describe a form of data virtualization. Data virtualization, however, is not new. It has been around since at least the 1960's when virtual memory was introduced to simulate additional memory beyond what was physically available on a machine. While data federation is a
At SAS Global Forum 2014 customers were asked to describe SAS in one word and they came up with quite a few including awesome, powerful, data, fun, easy, and of course statistics, analytics, and PROC. Then I gave it some thought on what one word would I choose to describe SAS. This
It is always important to continue to sell the value of analytics within your organization, especially to your leaders. Usually, these type of results are delivered via reports, dashboards, or emails. However did you know that analytics: Detects when expensive machinery like electrical submersible pumps (ESP) or oil platforms need maintenance before
What's the differences between predictive analytics and basic reporting? Predictive analytics provides insight about what will happen in the future. Basic reporting only looks at past performance. Why is this difference difficult to grasp? It's partly because transitioning to predictive analytics requires change. And most people don't embrace change. Take
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
