Continuous Auditing and Continuous Monitoring in ERP Environments: Case Studies of Application Implementations

2013 ◽  
Vol 28 (1) ◽  
pp. 287-310 ◽  
Author(s):  
Kishore Singh ◽  
Peter J. Best ◽  
Mario Bojilov ◽  
Catherine Blunt

ABSTRACT The need for continuous auditing and continuous monitoring (CA/CM) has increased in the global digital economy. Modern computer-based systems make it possible to measure and monitor business processes at an unprecedented level of detail in a real- or near real-time basis. This empowers auditors to become increasingly dependent on computer technology and software tools. While there is a growing body of literature related to this domain, there is a need for empirical evidence from actual implementations that document these systems in detail. In this research, we perform such an investigation on three CA/CM systems, namely SAPSECURE, CAMAP, and Bagheera-S™.

2014 ◽  
Vol 29 (2) ◽  
pp. 183-194 ◽  
Author(s):  
Catherine Anne Hardy ◽  
Glen Laslett

ABSTRACT Advances in information technologies, multiple and diverse risks, complex and changing regulatory environments, antifraud measures, budget constraints, and the volume, velocity, and variety of data being created have renewed attention in continuous auditing (CA) and continuous monitoring (CM). Notwithstanding the growing interest, there is currently limited guidance and empirical evidence available about the practicalities of implementing CA and CM and the differences (or not) between them. In this paper, we describe a case study of how CA and CM has been interpreted and implemented at Metcash, a wholesale distribution and marketing company in Australia. The results for this organization so far are notable: over 100 automated tests performed daily, a fully integrated exception management system, advancement from data to predictive analytics, and the use of visualization technologies for enhancing reporting. However, this outcome has not been without challenges. Our aim in presenting this case is to assist senior audit and business executives with assessing the viability of adopting CA and CM by reflecting on the implementation at Metcash and to offer lessons from this organization's experiences for theory and practice.


2014 ◽  
Vol 33 (4) ◽  
pp. 221-245 ◽  
Author(s):  
Alexander Kogan ◽  
Michael G. Alles ◽  
Miklos A. Vasarhelyi ◽  
Jia Wu

SUMMARY: This study develops a framework for a continuous data level auditing system and uses a large sample of procurement data from a major health care provider to simulate an implementation of this framework. In this framework, the first layer monitors compliance with deterministic business process rules and the second layer consists of analytical monitoring of business processes. A distinction is made between exceptions identified by the first layer and anomalies identified by the second one. The unique capability of continuous auditing to investigate (and possibly remediate) the identified anomalies in “pseudo-real time” (e.g., on a daily basis) is simulated and evaluated. Overall, evidence is provided that continuous auditing of complete population data can lead to superior results, but only when audit practices change to reflect the new reality of data availability. Data Availability: The data are proprietary. Please contact the authors for details.


1981 ◽  
Author(s):  
David R. Pedrick ◽  
Richard S. McCurdy

Advances in computer technology continue to expand the every-day application of electronic calculation and programming. With everything from home computers to automotive diagnostic devices, hand-held Pong games, and calculator wristwatches now being big sellers, it is no surprise that computer-based marine instruments have increased in capability and popularity. This paper describes some current developments in electronics to evaluate the performance of sailing yachts, ranging from basic digital displays to full-blown shoreside computers.


2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Mariya V. Talan ◽  
Ramil R. Gayfutdinov

The development of modern computer technology and changes in federal legislation introduced in recent years, have caused the authors to identify the main trends in the development of criminal liability for crimes against the security of computer information: four areas that encourage the need to increase criminal liability for acts committed with computer technology. The paper also gives a historical overview devoted to the development of computer technologies and a general description of crimes in the field of computer information, taking into account changes introduced into criminal legislation by Federal Law No. 194-FZ dated July 26, 2017.


2021 ◽  
pp. 20200944
Author(s):  
Lucio Calandriello ◽  
Simon LF Walsh

In patients with idiopathic pulmonary fibrosis (IPF), there is an urgent need of biomarkers which can predict disease behaviour or response to treatment. Most published studies report results based on continuous data which can be difficult to apply to individual patients in clinical practice. Having antifibrotic therapies makes it even more important that we can accurately diagnose and prognosticate in IPF patients. Advances in computer technology over the past decade have provided computer-based methods for objectively quantifying fibrotic lung disease on high-resolution CT of the chest with greater strength than visual CT analysis scores. These computer-based methods and, more recently, the arrival of deep learning-based image analysis might provide a response to these unsolved problems. The purpose of this commentary is to provide insights into the problems associated with visual interpretation of HRCT, describe of the current technologies used to provide quantification of disease on HRCT and prognostication in IPF patients, discuss challenges to the implementation of this technology and future directions.


Author(s):  
Steven J. Trott ◽  
James E. Baxter ◽  
Alison McKay ◽  
Alan de Pennington ◽  
Brian Henson

Abstract This paper reports research on approaches for accessing and controlling product data within the Product Introduction Process (PIP) through the specification, prototyping, and integration of a set of product structures, product viewpoints and their relationships. A significant achievement has been the validation of a collection of computer-based models of product structures that enable the capture of work breakdown, product specification, product functionality, and the physical parts that comprise the product. Furthermore, a number of relationships between these product structures and the business processes that use and create them have been identified. The work presented in this paper demonstrates the importance of representing relationships between product introduction processes and products through the adoption of product structures. The potential for exploiting product structures to improve understanding of relationships between products and processes is illustrated. A case study captures flows of related functional and physical product structures within PIPs across a two-tier supply chain, and discusses the issues involved in supporting such related product and process information.


Algorithms ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 161
Author(s):  
Ghada Elkhawaga ◽  
Mervat Abuelkheir ◽  
Sherif I. Barakat ◽  
Alaa M. Riad ◽  
Manfred Reichert

Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform to the intended design or deviate from it. The situation when a business process changes while being analysed is denoted as Concept Drift. Its analysis is concerned with studying how a business process changes, in terms of detecting and localising changes and studying the effects of the latter. Concept drift analysis is crucial to enable early detection and management of changes, that is, whether to promote a change to become part of an improved process, or to reject the change and make decisions to mitigate its effects. Despite its importance, there exists no comprehensive framework for analysing concept drift types, affected process perspectives, and granularity levels of a business process. This article proposes the CONcept Drift Analysis in Process Mining (CONDA-PM) framework describing phases and requirements of a concept drift analysis approach. CONDA-PM was derived from a Systematic Literature Review (SLR) of current approaches analysing concept drift. We apply the CONDA-PM framework on current approaches to concept drift analysis and evaluate their maturity. Applying CONDA-PM framework highlights areas where research is needed to complement existing efforts.


Author(s):  
Iris Xie

Online catalogs are types of interactive computer systems; they can also be called “interactive catalogs” because a user interacts with the computer to find relevant information. The interaction is the main difference between Online Public Access Catalogs (OPACs) and other types of library catalogs (Hildreth, 1982; Matthews, 1985). Online catalogs are regarded as real-time interactive retrieval systems for libraries (Fayen, 1983). According to Peters (1991), the development of online catalogs can be characterized by three decades of development. In the 1960s, the development of online catalogs was led by the development of computer technology and the library community’s desire to increase efficiency in finding library materials. In the 1970s, commercial vendors started to replace large university libraries as the principal developers of computer-based library systems. In the 1980s, local libraries expand their control of the library catalog systems.


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