this short video is part of the process optimization use case Series where we will focus on different techniques to identify processing efficiencies non-conforming activities and Improvement opportunities what makes process mining a great tool to report and change management processes is that it doesn't just report an information currently contained in the change record process mining can look historically and analyze the values that were previously there but were later updated in in this use case we will focus on situation where calculated risk of a change was recalculated and downgraded potentially cause causing that change not to be taken as seriously during the approval process right now what we're looking at as the map of the process uh that includes um risk calculations you could see that right away here looking at only 60% of the connections we can see that there's some discrepancy in a number of change requests that were um at some point identified with different risk um levels and right here you see where those changes ended up so for example 41 changes at some point were classified as moderate risk but only 33 actually ended up being a moderate risk change when the change was completed the same for High we see here 18 and 13 low 8 35 and 29 if we go ahead and increase the granularity to 100% we actually begin to see how some of these challes happened so for example here we have recalculated value from low to moderate four changes went through this uh transition and what we want to focus on is some of the changes that that actually were calculated to be high and you can see some of them were downgraded to be moderate three of them and two of them were downgraded to Bel low we also are able to use a finding definition right here uh we can see that risk downgraded from high to moderate or low and five records three and two like we saw on the other screen were involved in that recalculation so here we want to see not just the fact that this recalculation did happen but we also want to see how this affects everything else around the change and the most important thing that we want to look at is how would that affect the fact that a change could potentially be not successful so in order to do that we want to look at this map but apply some conditions to this map that would only narrow it down to changes that were not successful now for this scenario the most reliable way to do that and it is the most reliable way in many situations is to go ahead and look at all of the changes that have caused at least one incident so I want to apply a condition where we're going to say there's at least one record and that record exists in the incident caused by change related list so I'm going to apply this condition and now what we're looking at is a subset of all of my change requests you can see that I was dealing with 75 change requests in this um in this map only 10 of them uh actually caused incidents and here what we could see is um if you remember there were 33 um changes that ended up being completed um with moderate calculations now only six of them so uh technically less than 20% ended up um ended up failing now um when we look at the uh low risk changes we could see that um two out of 35 which is a very low percentage that ended up not being successful in causing incidents uh technically same is somewhat true with high and we know that highrisk changes have uh inherently higher risk of uh causing additional issues or outages but now if we look at U changes that were used to be high and we're recalculated we can see here that four out of five so three recalculated from high to moderate downgraded that way and one downgraded from high to low so four out of five changes 80% of changes that were downgraded from a high risk were actually there when we when we looked at that specifically changes that ended up cause an incident this indicates a very high percentage and this is something that potentially could be looked at and examined and the way that could be done is uh you could look at this transition so for instance if we wanted to see okay what are all the changes that were downgraded from high to moderate and we can see here that um these three changes have a view records button available here and by clicking this we can get additional details additional information and potential look at the groups potential look at the users potential look at some of the reasons why this happened thank you very much for watching this video and hopefully this helps with uncovering some of the process anomalies in your organization