Much has been written about the potential for plugging solids handling pumps in both wastewater and raw water pumping applications. The use of VFDs offers both improved process control and the potential to reduce energy expenditures. Unfortunately, operating these pumps at reduced speeds may also be leading to increased incidents of partial plugging and therefore increased potential for sanitary sewer overflow (SSOs). Most commercially available remedial systems focus on alarming, or even potentially reversing the rotational direction of the pump if pre-determined current setpoints are exceeded. Unfortunately, these systems do not provide much insight into the overall performance potential of the system. Data analytics of individual pump performance provides a more holistic approach to the life cycle asset management and operation of these critical assets. This presentation will demonstrate how analytics can be used in real time by operators, managers, and engineers collaboratively to ensure that systems are operated, maintained and even designed properly for the given service. The presentation will show data from two different wastewater pumping stations. The first is OWASA’s Rogerson Drive Pump Station. The analytics platform has brought value to OWASA in two primary ways. First, it identified that the minimum speed setpoint for the VFDs should be increased to avoid excessive specific energy levels during low flows at night. It also has indicated excessive levels of friction head in the forcemain, likely an indication of either excessive sedimentation within the pipeline or perhaps faulty air release valves along the pipeline. In either case, this additional friction increases pumping costs and restricts the firm capacity of the station. The City of Chattanooga also implemented this analytics platform on their largest wastewater pumping station, the Citico Pump Station. The analytics platform indicated that there was a significant amount of deterioration of the impellers of two of the four pumps. It also indicated significantly more headloss in the forcemain system. These two factors essentially reduced the real firm capacity of the station from its design of 120 MGD to an actual 102MGD. Additionally, the analytics platform indicated that plugging occurs in the pumps at reduced speeds, and that periodic pump scouring can reduce the overall energy expenditure by anywhere from 15-50% depending upon the severity of the plugging. This presentation will demonstrate how a powerful analytics platform can provide operational insights, reduce energy expenditures, extend the useful life of equipment, and protect the environment by reducing unplanned outages.