Evolutions of Process Mining: Focus on Pro M
A. Rama1, A. Kumaravel2, R. Udayakumar3
1A. Rama, Department of Information Technology, Bharath Institute of Higher Education and Research, Tambaram, India.
2Dr. A. Kumaravel, Department of Information Technology, Bharath Institute of Higher Education and Research, Tambaram, India.
3Dr. R. Udayakumar Department of Information Technology, Bharath Institute of Higher Education and Research, Tambaram, India.
Manuscript received on 04 July 2019 | Revised Manuscript received on 17 July 2019 | Manuscript Published on 23 August 2019 | PP: 467-469 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30880789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3088.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Procedure mindful data frameworks, for example, WfM, ERP, CRM and B2B frameworks, should be designed dependent on procedure models determining the request wherein procedure steps are to be executed . Making such models is a complex and tedious errand for which various methodologies exist. The most conventional one is to dissect and structure the procedures expressly utilizing a business procedure demonstrating apparatus. Be that as it may, this methodology has regularly brought about inconsistencies between the real business forms and the ones as seen by architects accordingly, frequently, the underlying plan of a procedure model is inadequate, emotional, and at an excessively abnormal state.
Keywords: Extraction, Transformation, Open Source Tools, data preparation.
Scope of the Article: Transformation