3 ways to prepare data for analytics: How to choose the best option
Jeff Stander helps us understand the different options of preparing data for analytics.
Author
Jeff StanderRSS
Principal Solutions Architect
Principal Solutions Architect
As a member of the SAS Global Technology Practice, Jeff Stander has global responsibility for SAS Data Management. He listens to customers’ needs, and ensures alignment of SAS products and services to meet those needs. Jeff works with SAS offices globally to ensure readiness to meet the latest data management requirements. Stander started at SAS in 1987 and has worked with organizations in 26 countries. He lived and worked for SAS in Heidelberg, Germany, Silicon Valley, California, Orlando, Florida, and Cary, North Carolina. He started at SAS first as a Technical Support consultant, and then worked in many customer facing roles, including Enterprise Computing Specialist, Systems Engineer, pre-sales management, and most recently Data management pre-sales and enablement specialist in the Center of Excellence. Stander holds an MBA degree and a B.S. in Systems Science from the University of West Florida. He resides in Orlando, Florida. During his time away from work, Jeff enjoys travel and photography.
Data strategy: Why a single, integrated view of metadata is so important
It’s obvious that an enterprise data strategy involves data – but we sometimes disregard the fact that it should also involve metadata. Why? Because it’s key to unlocking the value of data. Metadata shows you what data is available and how people can use it. It also reveals which data
Managing data beyond boundaries: Third-party metadata collection
Jeff Stander passes along some of the lessons he's learned about third-party metadata collection.
