Background
The use of business process management is very important for any type of organization and the process helps the organizations in the improvement of their overall business performances. In addition to this, it also reduces the overall response time for the system and as a result the customer satisfaction increases and the business efficiency is upgraded as an inference to this. The report is used for the reference to one such case where the current process of the organization has been described and the innovations in the procedures of the organization have also been described. The case of Non-Obvious Relationship Awareness has been made the centre of the discussion in the report.
The report consists of a short description of the organization and the process which are currently followed in the organization. In addition to this some assumptions have also been made for the system and the description of the To-Be model and the As-Is process has been done using the illustrations and the cost analysis for the procedures.
It is to be noted that data mining is a very important part in the digital world in the present situation. The process provides a reference to the establishment of the new information created after the thorough analysis of the large database. The software mainly performs the task of examination of the database in any type of language which has been created. In addition to this, it is also known that anonymized data is used for the similar type of function and explore the data which has been used for the purpose of encryption.
The data mining technologies are becoming very important for the notational security officials with the increase in time. It is very important in order to fight the security problems regarding to terrorism. The software is also used by the CIA and the FBI for the identification of the high risk individuals and also the identification of the possible threats in the systems the nations or towards the exclusive data stored by different nations.
For the system various type of assumptions have been made. The assumptions involve the development of then AS-IS process and the To-Be process model on the basis of the information provide. In addition to this, the cost for the development of the system and the procedures that takes place within the system are assumed and it the cost for the To-Be process are also assumed and a costs analysis has been performed for the development of the system in the future for the organization and also the implication of the functions for the system are to be assumed. It has been assumed that the data mining process would be helpful for the development of the functionality of the procedures in the system.
Assumptions
The AS-IS model for the procedures of the software is provided below:
In the present model the data provider is the main actor and he is the one who provides the data that is to be mined. The provider provides the data which contains very useful information in the process and these data is used when someone is purchasing something. In addition to this there is the data collector who would be obtaining the data from the miner. The data collector collects the data for supporting the data mining activities. The mining technology is being used by the data miner and the miner makes use of the knowledge which is transferred to him by the other sectors of the procedures, the decision maker is the final actor in the system and makes all the critical decisions which are to be based on the data mining and the decision-maker can be regarded as the most important actor in the As-IS process. The process of the data mining is basically based on the principle of scientific management and the hence the hence it involves various procedures that would be increasing the efficiencies of the organizations.
The To-be process would be automating the procedures of the software so to make the procedure efficient for the organization to detect the terrorist activities and react efficiently to it.
The cost analysis and the comparison of the As-IS process and the To-Be process is provided below:
Task |
Data generation |
Business Understanding |
Data Preparation Process Apply PPDP |
Data Publishing |
Data Preparation |
Data Privacy Preserving Process |
Modeling |
Report |
Legal Measure |
Get Report |
Evaluation/Validating the Results |
Report and Decision Making |
Total |
|
Document Type |
Current |
Manual |
Manual |
NA |
Manual |
Manual |
NA |
Manual |
Manual |
NA |
NA |
NA |
Manual |
|
Proposed |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
Automatic |
||
Process Time (Elapsed) |
Current |
30 |
45 |
0 |
15 |
70 |
0 |
35 |
25 |
0 |
0 |
25 |
35 |
280 |
Proposed |
25 |
30 |
20 |
20 |
20 |
30 |
25 |
18 |
11 |
19 |
16 |
39 |
273 |
|
Process Time (Working) |
Current |
150 |
200 |
0 |
110 |
360 |
0 |
200 |
110 |
0 |
0 |
0 |
200 |
1330 |
Proposed |
110 |
30 |
60 |
60 |
60 |
110 |
70 |
21 |
28 |
25 |
30 |
60 |
664 |
|
Rate |
Current |
$ 20.00 |
$ 15.00 |
$ – |
$ 22.00 |
$ 25.00 |
$ – |
$ 27.00 |
$ 20.00 |
$ – |
$ – |
$ – |
$ 40.00 |
$ 169.00 |
Proposed |
$ 10.00 |
$ 15.00 |
$ 10.00 |
$ 20.00 |
$ 10.00 |
$ 15.00 |
$ 10.00 |
$ 20.00 |
$ 15.00 |
$ 12.00 |
$ 11.00 |
$ 20.00 |
$ 168.00 |
|
Cost |
Current |
$ 120.00 |
$ 115.00 |
$ – |
$ 120.00 |
$ 270.00 |
$ – |
$ 300.00 |
$ 26.00 |
$ – |
$ – |
$ – |
$ 71.00 |
$ 1,022.00 |
Proposed |
$ 130.00 |
$ 75.00 |
$ 180.00 |
$ 45.00 |
$ 34.00 |
$ 22.00 |
$ 19.00 |
$ 20.00 |
$ 34.00 |
$ 80.00 |
$ 66.00 |
$ 172.00 |
$ 877.00 |
Conclusion
For conclusion, it can be said that the To-be model would make the procedures of the organization more efficient and can also make the procedure of the organization safer. This also results in the easy detection of the terrorist activities and increase the security of the nations. Hence the report has been used for the description of the process automation for the use of the software.
References
Conforti, R., Dumas, M., García-Bañuelos, L. and La Rosa, M., 2016. BPMN miner: automated discovery of BPMN process models with hierarchical structure. Information Systems, 56, pp.284-303.
Skouradaki, M., Roller, D.H., Leymann, F., Ferme, V. and Pautasso, C., 2015, January. On the road to benchmarking BPMN 2.0 workflow engines. In Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (pp. 301-304). ACM.
Ivanov, S., Kalenkova, A.A. and van der Aalst, W.M., 2015. BPMNDiffViz: A Tool for BPMN Models Comparison. In BPM (Demos) (pp. 35-39).
Kalenkova, A.A., van der Aalst, W.M., Lomazova, I.A. and Rubin, V.A., 2017. Process mining using BPMN: relating event logs and process models. Software & Systems Modeling, 16(4), pp.1019-1048.
Kalenkova, A.A., Burattin, A., de Leoni, M., van der Aalst, W.M.P. and Sperduti, A., 2016. Discovering High-level BPMN Process Models From Event Data (p. 46). Tech. rep. BPM Center Report BPM-16-09, BPMcenter. org.
Kalenkova, A.A., De Leoni, M. and van der Aalst, W.M., 2014. Discovering, Analyzing and Enhancing BPMN Models Using ProM. In BPM (Demos) (p. 36).
De Giacomo, G., Dumas, M., Maggi, F.M. and Montali, M., 2015, June. Declarative process modeling in BPMN. In International Conference on Advanced Information Systems Engineering (pp. 84-100). Springer, Cham.
Ferme, V., Ivanchikj, A. and Pautasso, C., 2015, August. A framework for benchmarking BPMN 2.0 workflow management systems. In International Conference on Business Process Management (pp. 251-259). Springer, Cham.