Process Mining in financial services sector

Bucharest 20 September 2019

Trainer: Ionut Pop

Details

The concept of Process Mining is new in the Romanian economy, due to the evolution of technology and the diversification of the automation options of some financial processes within the companies. Thus, in the case that we have exposed, this subject concerns the ability of some companies to streamline their working process with debt and debt identification tools. The subject of this program is the introduction of the mentioned concept on the Romanian market from the perspective of using the invoices for the recognition of debts and debts of a company. Starting from the contract analysis process, through the recognition and registration phase of the obligations until their payment, an IT solution can provide an overview of the whole process and can identify possible discrepancies in the nature of the way it works, human errors , delays or others. The main benefit of the participants in this course is to update current information and to harmonize knowledge at the highest standards of western European markets, especially with the automation of existing processes in less advanced or currently man-made forms.

Target group

The target group of the program is the Chief Financial Officers, responsibles of purchases, or, where applicable, the processing of financial liabilities recognition instruments. The companies they come from can range from small to multinationals, which operate with a high and regular volume of payments and receipts, all of which fit perfectly with retailers and distributors for any industry.

Course objectives

At the end of the program, participants will be able to:
1. Understand the main features of the automation of processes with debt and debt recording tools based on a set of at least 10 questions asked by the trainer;
2. Identify at least two deficiencies in automation processes with debt recognition instruments based on two exposed examples;
3. identify a correct architecture for processes after analyzing at least four variants;
4. List the main steps of applying a process mining algorithm to the industry case, based on the information provided by the trainer.

Subjects

Introduction to Process Mining
Technical requirements for automating debt and debt processes (Power BI, SQL, etc.)
Data extraction and transformation
Analysis of the functionalities of a process mining software
Case Study for Process Mining - 1
Case Study for Process Mining - 2

Trainer

Ionut Pop has a 5 year experience in personal and professional training and holds an accredited NAC trainer certificate since 2014. Since 2015 he has been Associate Professor of the Faculty of Finance, Insurance, Banks and Stock Exchanges of the Bucharest Academy of Economic Studies be the banking sector, capital markets, international monetary financial relations, or the modeling of the financial decision. With an experience in the BIG 4, he has so far implemented over six projects for credit institutions in Romania, two of which are in the IRRBB calculation, using the latest regulatory standards in the field.