Tomorrow we begin a three-part series on how to accelerate open source forecasting with SAS, by guest bloggers (and my colleagues) Jessica Curtis and Andrea Moore.

As the popularity of open source forecasting has expanded, so has the ability of SAS to take advantage of open source capabilities. Over the next three days, Jessica and Andrea will show how SAS Visual Forecasting offers an open ecosystem to run open source models and deploy models at scale

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Jessica Curtis, Principal Solutions Architect at SAS 

Jessica Curtis has been helping organizations drive business value through forecasting, demand planning, and optimization for over 13 years.  At SAS, she is a Principal Solutions Architect empowering Retail and CPG customers to solve their business challenges with data-driven analytics.  Prior to joining SAS in 2013, she led the forecasting and analytics team at Family Dollar Stores, Inc., leveraging SAS to improve decisions across Merchandising and Supply Chain.  Jessica has a B.A. in Mathematics and Psychology from Wake Forest University, and a Master’s in Applied Statistics from Penn State.  Taking care of two toddlers, she understands the value of balancing many challenges and staying agile.  

 Andrea Moore, Principal Solutions Architect at SAS

 Andrea Moore is passionate about analytics solutions and data-driven decisioning.  She is an analytics and forecasting advocate-practitioner with a focus on the Communications and Media industries.  At SAS, she is a Principal Customer Advisor where a favorite part of her job is collaborating with customers to build advanced analytics solutions.  She is a member of the SAS Industry Advisory Board for Telecommunications, Media and Technology, representing the US on this global board.  Andrea led advanced analytics teams at Verizon and Autotrader before joining SAS in 2016.  Andrea earned her M.S. in Operations Research at Georgia Tech and her B.S. in Applied Mathematics from Northwestern University.