Analyzing the Application of Modelling Business Processes (Coursework Sample)

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Modelling Business Processes
Part A
The dependency graph of an object is needed to track how objects are dependent on this base object. A program is a set of statements whose order and scheduling are determined by dependencies. Dependencies are divided into two categories: data and non-data. When statements calculate data that is used by other statements, they are said to be dependent (Myer). Dependencies are those that emerge from a program's organized control flow. This event log applies the following log rule because these events see and follow each other systematically.
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752475249555Figure SEQ Figure \* ARABIC 1: Dependency Graph0Figure 1: Dependency Graph
Direct succession: x>y; A>B, B>C, C>D, E>F, F>I, I>H
1228725103505Causality: X Y, A> B, A>C, B>C, E>F.
Parallel: x//y; B//C, C//B,
The α-algorithm is a process mining algorithm that aims to recreate causality from a series of event sequences. An XOR split pattern as well as a corresponding joint pattern. To determine the α-algorithm for the steps below:
TL = {A, B, C, D, E, F, G, H, I, J)
T1 = {A}
T1 = {I}
XL = {({A}, {B}), {(A}, {C}), {(B}, {C}), ({B}, {G}), ({C}, {D}), ({C}, {E}), ({D}, {H}), ({E}, {F}), ({F}, {H}), ({F}, {G}), ({F}, {J}), ({F}, {B}), ({G}, {I})}
YL = {{(A}, {C}), ({B}, {G}), ({E}, {F}), ({D}, {H}), iL, oL}
PL = {P(A}, {C}), P({B}, {G}, P({E}, {F}), P({D}, {H})}
FL = {α, P(A}, {C}), (P({B}, {G}), (P({E}, {F}), P({D}, {H})}
α(L) = (PL, TL, FL)
Part B
Intense competition among Financial Technology (FinTech) companies is among the significant challenges facing financial institutions in the actual economic situation climate. Enhancing customer service through digitalization and automation strategies that streamline loan processes is one way to combat this new breed of competitors (Vitor). The main goal of this paper is to analyze the procedure for obtaining a loan from a Dutch Financial Institute in order to improve the customer satisfaction rate and also increase revenue. The report's primary focus will be time and effort since the other pillar's evaluation cannot be done with the data received.
Process Model
Knowledge can be extracted from event logs using process mining techniques. It describes the entire operation by creating a process model from the information in the traces. Based on the information provided, each loan application goes through several states. Figure 1 indicates the expected path as each application goes through, including the central states. According to this figure, there is a probability of multiple paths being used in the process. On the one side, a physical visit to the bank may be used to request an application. On one side, a physical visit to the bank may be used to request an application.
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