Predicting batch process to prevent business outages

Today's enterprises heavily rely on their batch systems to ensure smooth business operation. Any delay in these processes has direct impact on sales, revenue, customer experience, and brand image. In this paper, we present an approach to predict these batch processes and generate ahead-of-time notifications of potential batch-induced outages. We present several case-studies to demonstrate the effectiveness of the proposed solution in various real-world scenarios.