Reference no: EM131223404

PART ONE:

Develop a BPMN model that accurately encodes the process that has been textually described in the file names Assignment-Proc-Modeling-Text.pdf available in this folder. Submit this process model in hardcopy and online.

PART TWO:

1. You must develop a realistic process model in BPMN describing the customer on-boarding process that is typically used by mobile telecom service providers. The on-boarding process is what is executed when a telecom service provider takes on a new customer. Most of us have personal experience with this process. A range of web resources are available describing the process. The following are two examples:

• https://www.pbinsight.com/files/resource-library/resource-files/pbbi-next-gen-cust-onboarding.pdf
• https://www.ultimus.com/Portals/54405/docs/automated_processes_telecommunications_industry.pdf
• https://www.underlinecom.com/onboarding-start-your-customer-experience-off-right/

2. The process model you will develop must involve no less than 8 tasks/activities and no less than 2 gateways (of which at least one must be an OR-split and one must be an AND-split). You need to provide the sources from which you developed the process model - these might involve documents you found on the web, procedure manuals and so on. There must be clear evidence that your BPMN process model encodes process descriptions contained in these textual resources.

3. You must use the semantic effect annotation technique for business process models based on the ProcessSEER technology described in class to annotate this model. Effect annotations must be written in both English and first-order logic. You need to provide both the immediate effects of tasks/activities and the cumulative effect scenarios obtained at various points in the process.

4. Submit this process model in hardcopy and online.

You must also submit the model and annotations as hardcopy in the lecture.

You must present the annotations both as text annotations on your BPMN models and on separate pages of text to process model (in the latter case, use a numbering or indexing scheme to correlate annotations to various points in the process model).

PART THREE:

Look through the literature to identify a good language for modelling business services. What kinds of enterprise data could you use to mine these models? How would you mine these (you do not need deep machine learning or data mining expertise - simply a high-level understanding of the kinds of data analytics that might be feasible)? This is a question that requires some modicum of innovative thinking - you might not find a complete answer in the published literature.