Allison Buenemann is an Industry Principal at Seeq Corporation. She has a process engineering background with a BS in Chemical Engineering from Purdue University and an MBA from Louisiana State University. Allison has nearly a decade of experience working for and with bulk and specialty chemical manufacturers to solve high-value business problems leveraging time series data. In her current role, she enjoys monitoring the rapidly changing trends surrounding digital transformation in the chemical industry and translating them into product requirements for Seeq.
Success stories show how advanced analytics software is used to create insights and improve process efficiency. See three use case examples.
Enabling access to machine learning algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades.