1. A method for tracking process anomalies, the method comprising: collecting initial non-productive emergent information from multiple emergent information sources, wherein the initial non-productive emergent information is based on initial non-productive underlying data, and wherein the initial non-productive underlying data is data that describes activities that impede a process; weighting the initial non-productive emergent information according to what impact the initial non-productive underlying data has on impeding the process; generating a fencing pattern based on combined weighted initial non-productive emergent information, wherein the fencing pattern presents multiple regions that describe a degree of how detrimental the combined weighted initial non-productive emergent information and initial non-productive data are to the process; displaying the fencing pattern as an anti-pattern, wherein the anti-pattern depicts levels of initial combined non-productive activities in the process; plotting incoming new non-productive emergent information, for a current implementation of the process, onto the anti-pattern to determine whether progress parameters are anti-nominal, wherein the progress parameters are based on and reflecting the incoming new non-productive emergent information for the process, and wherein progress parameters are anti-nominal if they impede a progress of the current implementation of the process; and taking appropriate steps to correct conditions that caused a creation of the incoming new non-productive emergent information.