As Chief Supply Chain Officer, Linda Phillips had a big challenge ahead. Their supply chain was rocked with variability, poor communication, and a host of other problems. The complex manufacturing process meant that many decisions were still being made in a Manufacturing Execution System (MES), and the recent Enterprise Resource Planning (ERP) system implementation still had some data quality issues. Inventories were too high on some products, stocked out on others, inventory costs were up, and customer service was down. Something had to be done. Quickly! To correct these issues, Linda Phillips assembled a team consisting of Diane Watson from IT, Sean King from the data science group, and Rodney Jones from the manufacturing team. They were tasked with solving these challenges. "To get a handle on this, we need to start with a better monthly product demand forecast. I can create one that will outperform our current ERP system," said Sean King. "We only have a very limited amount of data with very few features to start with. How will that work?" asks Diane Watson. Based solely on this case and the content and best practices discussed in this course, what guidance would you provide them