000			02929cam a2200361Ii 4500
001			9781315369532
008			180420s2017 fluab ob 001 0 eng d
020			_a9781315369532 _q(e-book : PDF)
020			_a9781315369730 _q(e-book)
020			_z9781498737142 _q(hardback)
024	7		_a10.1201/9781315369532 _2doi
035			_a(OCoLC)978977677
040			_aFlBoTFG _cFlBoTFG _erda
050		4	_aHF5668 _b.C373 2017
072		7	_aCOM _x053000 _2bisacsh
072		7	_aCOM _x021030 _2bisacsh
072		7	_aBUS _x042000 _2bisacsh
082	0	4	_a657.458 _223
100	1		_aCascarino, Richard E., _eauthor.
245	1	0	_aData analytics for internal auditors / _cby Richard E. Cascarino.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, an imprint of Auerbach Publications, _c2017.
300			_a1 online resource (440 pages) : _b37 illustrations
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
505	0	0	_achapter 1 Introduction to Data Analysis -- chapter 2 Understanding Sampling -- chapter 3 Judgmental versus Statistical Sampling -- chapter 4 Probability Theory in Data Analysis -- chapter 5 Types of Evidence -- chapter 6 Population Analysis -- chapter 7 Correlations, Regressions, and�Other Analyses -- chapter 8 Conducting the Audit -- chapter 9 Obtaining Information from IT Systems for Analysis -- chapter 10 Use of Computer-Assisted Audit Techniques -- chapter 11 Analysis of Big Data -- chapter 12 Results Analysis and Validation -- chapter 13 Fraud Detection Using Data Analysis -- chapter 14 Root Cause Analysis -- chapter 15 Data Analysis and Continuous Monitoring -- chapter 16 Continuous Auditing -- chapter 17 Financial Analysis -- chapter 18 Excel and Data Analysis -- chapter 19 ACL and Data Analysis -- chapter 20 IDEA and Data Analysis -- chapter 21 SAS and Data Analysis -- chapter 22 Analysis Reporting -- chapter 23 Data Visualization and Presentation -- chapter 24 Conclusion.
520	3		_aThere are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner's viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.
650		0	_aAuditing, Internal.
650		0	_aElectronic data processing _xAuditing.
710	2		_aCRC Press.
776	0	8	_iPrint version: _z9781498737142
856	4	0	_uhttps://www.taylorfrancis.com/books/9781315369532 _zClick here to view.
999			_c127978 _d127978