Here’s the problem: The typical paper mill operates 100s of PID control loops and maintains an even larger quantity of production assets. The typical plant historian stockpiles data, and extracting information that’s actionable and relevant to performance can be a challenge. Meanwhile, pressure just increased on everyone to improve production efficiency.  From operations and engineering to maintenance and management, control loop analytics target the unique information needs of those groups that are tasked with maximizing up-time and achieving production goals. This paper covers recent innovations in CLPM technology specifically in the context of the pulp and paper industry to demonstrate the value of loop analytics. Further, it leverages insights gained from analysis of over 200 PID control loops using data from a paper mill.