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Data analytics for internal auditors /

Cascarino, Richard.

Data analytics for internal auditors /

Record Type:	Language materials, printed : Monograph/item
[NT 15000414]:	657.458
Title/Author:	Data analytics for internal auditors // Richard E. Cascarino.
Author:	Cascarino, Richard.
Published:	Boca Raton, FL : : CRC Press,, c2017.
Description:	xxii, 417 p. : : ill. ;; 24 cm.
Notes:	"An Auerbach book."
Subject:	Auditing, Internal.
Subject:	Electronic data processing - Auditing.
ISBN:	9781498737142 (hbk.) :
[NT 15000227]:	Includes bibliographical references and index.
[NT 15000228]:	Chapter 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. Continous 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 -- chapte 24. Conclusion.

Data analytics for internal auditors /
Cascarino, Richard.

Data analytics for internal auditors /Richard E. Cascarino. - Boca Raton, FL :CRC Press,c2017. - xxii, 417 p. :ill. ;24 cm. - Internal audit and IT audit. - Internal audit and IT audit..

"An Auerbach book."

Includes bibliographical references and index.

Chapter 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. Continous 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 -- chapte 24. Conclusion.

ISBN: 9781498737142 (hbk.) :NTD 2,106Subjects--Topical Terms:

417515
Auditing, Internal.

LC Class. No.: HF5668.25 / .C373 2017

Dewey Class. No.: 657.458

Data analytics for internal auditors /
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020 $a 9781498737142 (hbk.) : $c NTD 2,106
040 $a YDXCP $b eng $c YDXCP $d BTCTA $d BDX $d OCLCQ $d SINLB $d OCLCF $d NDB $d XII $d UWW $d THD $d DYU
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082 0 4 $a 657.458 $2 23
100 1 $a Cascarino, Richard. $3 664924
245 1 0 $a Data analytics for internal auditors / $c Richard E. Cascarino.
260 $a Boca Raton, FL : $b CRC Press, $c c2017.
300 $a xxii, 417 p. : $b ill. ; $c 24 cm.
490 1 $a Internal audit and IT audit
500 $a "An Auerbach book."
504 $a Includes bibliographical references and index.
505 0 $a Chapter 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. Continous 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 -- chapte 24. Conclusion.
650 0 $a Auditing, Internal. $3 417515
650 0 $a Electronic data processing $x Auditing. $3 664925
830 0 $a Internal audit and IT audit. $3 679375