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Establishment
Language of instruction
English
Teaching content
ACCOUNTING / AUDIT / CONTROL
This course occurs in the following program(s)
IESEG Degree - Programme Grande École
- Crédits ECTS: 2.00
Training officer(s)
C.BEUSELINCK
Stakeholder(s)
C.BEUSELINCK
Présentation
Prerequisite
The participants should have an intermediate understanding of organisational aspects, internal and external audit and IT knowledge.
Goal
At the end of the course, the student should be able to:
* Have a sound knowledge of business intelligence and big data concepts
* Understand different tools for storage, retrieval and analysis for financial reporting and audit purposes
* Understand the importance of legacy technologies for big data handling
* Deal with structured and unstructured databases in a reporting environment
* Interpret data visualization metrics and output (Tableau ©)
* Formulate management-supportive recommendations based on financial reporting data analysis
* Have a sound knowledge of business intelligence and big data concepts
* Understand different tools for storage, retrieval and analysis for financial reporting and audit purposes
* Understand the importance of legacy technologies for big data handling
* Deal with structured and unstructured databases in a reporting environment
* Interpret data visualization metrics and output (Tableau ©)
* Formulate management-supportive recommendations based on financial reporting data analysis
Presentation
The access to better and faster technology is reshaping the way but also the quality of audit and financial reporting work.
Big 4 audit firms as well individual corporations are ramping up investments at a significant pace to increase their market shares and at the same time to respond to increasinly tough stances by regulators on reporting failures.
This course provide you with an insightful view in the way business intelligence and big data focus can help businesses in reaping the benefits of the contemporaneous technology-driven reporting environment.
This course is not designed to turn accountants into programmers, but rather to prepare them to interpret big data and communicate well about this with top management decision-makers on the one hand and IT programmers on the other hand.
Big 4 audit firms as well individual corporations are ramping up investments at a significant pace to increase their market shares and at the same time to respond to increasinly tough stances by regulators on reporting failures.
This course provide you with an insightful view in the way business intelligence and big data focus can help businesses in reaping the benefits of the contemporaneous technology-driven reporting environment.
This course is not designed to turn accountants into programmers, but rather to prepare them to interpret big data and communicate well about this with top management decision-makers on the one hand and IT programmers on the other hand.
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Autoformation | |||
| E-Learning | 4,00 | ||
| Recherche | 4,00 | ||
| Travail personnel | |||
| Group Project | 16,00 | ||
| Charge de travail personnel indicative | 8,00 | ||
| Overall student workload | 48,00 | ||
Evaluation
In class participation and Group assignments.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Contrôle continu | 0,00 | 0 | 40,00 |
| Autres | |||
| Etude de cas | 0,00 | 0 | 60,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
All course material will be provided by IESEG Online -
REVIEWS: Berg, A., Buffie, E. & L-F Zana (2018) "Should we fear the robot revolution? (The correct answer is yes)" Journal of Monetary Economics 97: pp. 117–148 -
REVIEWS: Berg, A., Buffie, E. & L-F Zana (2018) "Should we fear the robot revolution? (The correct answer is yes)" Journal of Monetary Economics 97: pp. 117–148 -