Article Analysis Essay on ERP Post Implementation Review With Process Mining

Introduction

The article endorses the utilization of the process mining, including basis assessment that is in the field of BPM, to perform the review of a post-implementation of the ERP implementation particularly, in the level of business process. In this case, paramount, a measure of success, the ERP post-implementation, process mining, and ERP lifecycle literatures were reviewed (Mahendrawathi et al., 2017). After the literature review, a case study on an agricultural chemical corporation that just applied an ERP system was done. The main emphasis of this case is the process of procurement in the corporation. There were interviews with the staff in the firm in order to obtain the average process of procurement. Next, the article explains how data is mined and consequently how it will be structured to become occurrence logs. Typically, Disco is used with an event log during the discovery of the process model (Mahendrawathi et al., 2017). The study was done in order to find out the ordinary and uncommon trails in the process of procurement. Expectantly, the implementation of ERP should surge proficiency in regards to the procurement procedure as far as there is a consideration of cycle time reduction.

Analysis

The process mining results indicate that several happenings are particularly beyond controlled. Such times it may be conducted within a brief moment of time; however, in some cases, it may take an extended period. Such an undertaking may be performed speedily since the procedure was bypassed. Usually, bottlenecks take place as a result of the technical issues, the introduction of new material categories and numbering as well as cultural issues such as by having high dependency rats in terms of approvals of hard copies. Such matters are required to be resolved for the company to be able to realize the benefits of operational efficiency, including the eventual long-term strategic advantages of ERP implementation.

Reinforcement of several Practical and Theoretical Aspects

Assessment of process mining standpoints suggests that a perspective of control-flow is utilized utmost copiously, in regard to time, a case, as well as structural viewpoints. Time and case perspectives are regarded as the most valuable and rewarding and perspectives. It demonstrates the usefulness and importance of process mining, as each submission concerned with the time perception gave rise to a positive outcome. The example implied suggestions and detected problems regarding the developments, which lead to the truth that the perspectives of case and time as well as the augmentation are interrelated directly. When we consider the types of process mining, when execution of conformance scrutiny is done, scientists has preferred ProM in even 96% of the studies. The meaning of this is that, for this specific study, ProM gives much more and better systems than any other type (Mahendrawathi et al., 2017).

Besides, some important annotations in regard to the corporations have been made. It is similar to the Data Mining use in the industry of healthcare. The views hold inordinate capability of enabling the systems of health to utilize the data as well as analytics for identifying ineptitudes steadily. Also, for superlative practices, process mining appears to be likewise valuable and pragmatic. The industry diverged from middling ideals for entire parts. It did so with a few scholars who focused on conforming scrutiny and by using widespread Disco, instead of ProM, for discovery of control-flow disco. IT industry presented the mentioned systematic ingesting of conformance scrutiny, exploited just ProM the activities that were performed. This industry has failed to utilize a case or time perspective in studies. The outcomes are lack of enrichment and recommendations for improvement. All tackles of software are seen to be ProM which are said to be the mostly leading device. It is however crucial to heighten that whenever the discovery of control-flow was regarded, Disco was used in equal measures as ProM, due to its expediency and pragmatism.

As highlighted in the introduction part, the main aim of this article review is to promote the utilization of process mining, including root-cause assessment from the BPM arena to perform a post-implementation analysis of implementation of ERP implementation particularly, at the position of a business process. My evaluation of whether the authors have achieved this aim is based on the content part of this article. Firstly, the credibility of this article is unquestionable. It has achieved this purpose by excellently demonstrating extensive research methodologies. There is a useful literature review on the post-implementation of ERP as well as the life cycle of ERP and process mining. The part of ERP has provided even a strong basis of the case study on an agricultural chemical that has been presented by the authors. The role of the case study is also covered well except for the use of the interview method as a way of collecting data. Based on the nature of this case, I would have preferred the use of questionnaires as a data collection method. Numerous sources as supporting documents and the overall structure of this article enhance the weight of the research.

Conclusion

In conclusion, this article has demonstrated the process mining is possible for a better evaluation of ERP implementation within the particular level of a business. The process of procurement utilizes the standard technique. Assessment of process mining stances advocates that the control-flow viewpoint is applied most plentifully, following with time, a case, as well as logistic belvederes. Process mining results designate that some actions are predominantly unrestrained. In such epochs, it may be steered within a short time; however, in some cases, it may even take a more extended period. Time as well as case outlooks are viewed as the most appreciated and gratifying perspectives.

References

Mahendrawathi, E. R., Zayin, S. O., & Pamunkeys, F. J. (2017). ERP Post Implementation Review with Process Mining: A Case of Procurement Process. Procedia Computer Science, 124, 216-223.