Quick Stab Collection Agency Essay Example | Topics and Well Written Essays - 2500 words

Quick Stab battle array effect - Essay ExampleThe trend shown by the tone deposit was that the majority of the deposit including the higher philippics were ideal by the half of the time passed. So, focusing the chronic defaulters with nigh continuous contact or with some incentives may be useful.Timely bill payment has become a difficult responsibility to come across on the side of the citizens. It has got various reasons, like time constraints, busy schedule, missed on due dates followed by even previous(a) deposit. The issue can be dealt quite efficiently by early and repeated reminders, easy or customer friendly procedures for submission as multiple sites for submission, reducing time dog-tired in the deposit, more hours to deposit in the evening etc.Usually, the bill issuing authority or body does non have got so much human or other resources to facilitate at the level discussed earlier. In this situation the authority may involve some other party have-to doe with in t his task and agree on some share to be paid to the party on storeion of a specific type of bill within due time.Quick Stab Collection Agency (QSCA) is responsible for carrying out such type of task in the eastern town. But this come with prefers wasted accounts to stay away from the environment full of risks. This is the situation posed by the chronic late payers.Analysis of this data set... sessing the tie-up or relationship between age to collect and size of the bill as well as the regression analysis to for the account status was carried out in SPSS indication 10.0.The graph between the days to collect and the mean(a) size of the bill was a typical doorbell charmd curve which supported the data set, asSample size was sufficient enough to measure out the joining, as the sample size increases Graph 1 The association between the number of the days and the mean size of the bill to a certain level then the distribution becomes binomial with bell shape of the curve. In other words at the extreme of the days, initial and final days, the size of the bill was small around 45-50 but as the days to collect get apart towards the centre the size of the bill gradually increased. The regression analysis was carried out at univariate and then multivariate levels to look for the individual as well as the collective effect but with control on the effect of other uncertains for the association of the status of the account.When days to collect and size of the bill regressed against the status of the account as continuous variable they could not show association with the status of the account to a significant level. Therefore, both these variables were recoded to dichotomous ones for days to collect we made categories at day 47 and for the size of the bill we cut the values at 160. After recoding the variables, size of the bill category although, increased in values but could not reach to a significant level. Days to collect category showed a highly significant asso ciation with the status of the account. At multivariate level, when size of the bill added to the model, it could not affect the association of days to collect with the dependant variable, status