preview

Case Study On Auditing Scandal

Good Essays

Auditing scandal

Dr. Rihab Khalifa

Table of Content

Section 1: introduction to the case and background

Section 2: timeline sheet of major events
Section 3: auditing and accounting issues within the case
Section 4: any potential outcome to the case
Section 5: suggestions for future improvement to prevent such case
Section 6: references
Section 7: appendices

Introduction and Background

Xerox background :

Xerox Corporation is an American multinational archive administration company. It delivers and offers a scope of shading and highly contrasting printers, multifunction frameworks, scanners, advanced generation printing presses, and related counseling administrations and supplies. …show more content…

Allaire, CEO & Chairman of Board of Directors.
- G. Richard Thoman, Predecessor President.
- Barry D. Romerily, Former CFO & Vice President.
- Phillip D. Fishbash, Ex Controller.
- Daniel S. Marchibroda, Old Assistant Controller
- Gregory B. Tyler, ex Director of accounting policy. They were forced to pay about 22 million dollars as a punishment for their hustle. The SEC Caught the fraud by their professional audit, and then decided the penalty. Because of this manipulation, only the investors & creditors were affected by the misinformation in the financial statement.

KPMG reputation was affected because of the errors they allowed, and also Xerox was affected by this …show more content…

In spite of dangers from Mr. Allaire that could immediate liquidation, in 2002 the SEC recorded suit against Xerox blaming administration for hustle and forced a 10 million fine. Xerox settled the case without taking any wrong action restated 1997-2000 budget results and paid the 10 million penalties.

Section 5: Suggestions for Future Improvement to Prevent Such Case:

Lots of companies can prevent frauds from happening; unfortunately some companies do not know when to detect frauds. By maintaining some approaches we can reach our goal of being fraud free. The first approach, is by finding the fraud before claims are paid, that happened by combining business rules, predictive analytics and social network analysis to uncover hidden relationships. We can also detect frauds by reducing false positives, with an advanced scoring engine that uses independent and combined scores including scoring of associated networks. We also have a quickly uncovering organized fraud rings, using link analysis and visualization technique to expose hidden relationships among entities.

Get Access