Author

Jessica Curtis
RSS
Advisory Solutions Architect

Jessica Curtis has 15 years of experience improving business decisions and driving results through forecasting, demand planning, and optimization. She is an Advisory Solutions Architect in the Consumer Goods, Retail, and AgTech practice at SAS, where she helps clients solve business challenges with data-driven analytics. Prior to joining SAS, she led forecasting and analytics teams in the retail industry, adding value to strategic and operational decision-making 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. As a mom of three kids under five, she understands the benefits of staying agile and balancing many challenges.

Advanced Analytics | Artificial Intelligence | Data Visualization | Machine Learning
Jessica Curtis 0
How to cultivate trust in analytical models and improve forecast adoption

Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with