Greg is a certified practitioner with over two decades of broad Performance Management and Analytics experience. This has been gained across several commercial, education and government, providing highly transferable skills. He has extensive experience and knowledge of research informatics and regulatory requirements and has been responsible for the delivery of numerous projects in clinical and business environments. He collaborates with stakeholders across organizations, gathering and analyzing their requirements and architecting solutions that are embody thinking data® – data which is more predictive, more accessible, more useable and more coherent. Greg has a passion for turning data into knowledge through Business Intelligence, Analytics, Data Warehousing, Master Data Management, Data Governance, Data Quality, and Research Informatics. He has developed strong partnerships with senior management within business and information technology organizations to support transparent project delivery and risk management; he manages stakeholders’ expectations of project delivery. Mr. Nelson holds a B.A. in Psychology and PhD level work in Social Psychology and Quantitative Methods and certifications in project management, Six Sigma, balanced scorecard and healthcare IT.
Perhaps it is my astrological sign, but as a Gemini, I seem to be cursed blessed with a duality that consists of balancing my creative side with exacting nature of my logical side. In my personal life, I enjoy woodworking. Whether it is creating “art in the round” from a
I can’t believe that it has been almost two months since SAS Global Forum in Washington DC! As always, I was reinvigorated and came back with even more ideas on how to improve the way that we do things, apply new lessons and try some things out – along with
My journey to SAS Global Forum each year resembles a Gartner “Hype Cycle”. Every year, I leave the conference with a million ideas about how I can take what I’ve learned back into my own practice and think (foolishly) that I should write a paper on this or that. Then there
In November, I resumed the “it’s all about the data” series, laying a foundation for helping SAS administrators understand how SAS stores and manages data for use in business intelligence and analytic applications. For this article, I culled our internal Thotwave knowledge base and queried our consultants who get questions
Wow did the summer fly by! Now that grad school is over, it’s about time to resume the “it’s all about the data” series. In the last several posts, I tried to lay a foundation for understanding how SAS stores and manages data for use in business intelligence and analytic
Based on my previous posts, we are almost done with the basics of SAS libraries and how the various clients can access them. Before we leave this topic and go onto third-party database engines, I wanted to spend a few minutes talking about some best practices for making sure that
As we have seen my previous post "Seeing SAS data through metadata", there is a fundamental difference between accessing a SAS library using a physical reference or a metadata reference to that library. By now, you should now be an expert on the nuances of physical references to SAS data
Last time we discussed the fundamentals of SAS data and how we reference that data in SAS Foundation. Now, we will turn our attention to how you access and protect data when you want to expose data through SAS clients versus the traditional LIBNAME method.
So let’s get down to it, what exactly do we mean by data in SAS? We hear all about “big data”, tiny data, datasets, metadata, OLAP, relational data, but what do I really need to know when it comes to SAS?
Happy belated New Year! For what it’s worth, no, I am not calling you a “dummy” or writing this just for Chris Hemedinger– just wanted to get your attention. This blog is actually an introduction to a series that I am kicking off this year entitled: "It's all about the data…"
