counter create hit Using Analytics to Detect Possible Fraud: Tools and Techniques - Download Free eBook
Ads Banner
Hot Best Seller

Using Analytics to Detect Possible Fraud: Tools and Techniques

Availability: Ready to download

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is wri Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.


Compare
Ads Banner

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is wri Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

22 review for Using Analytics to Detect Possible Fraud: Tools and Techniques

  1. 4 out of 5

    ☘Misericordia☘ ~ The Serendipity Aegis ~ ⚡ϟ⚡ϟ⚡⛈ ✺❂❤❣

  2. 4 out of 5

    Cody Redmond

  3. 5 out of 5

    John

  4. 5 out of 5

    Flugswamp

  5. 5 out of 5

    Stela

  6. 4 out of 5

    KAPIL DEV SONI

  7. 5 out of 5

    Danish Adenwala

  8. 4 out of 5

    Elizabeta

  9. 5 out of 5

    Tori

  10. 5 out of 5

    Anurag Anand

  11. 4 out of 5

    Raven

  12. 4 out of 5

    Alejandro Colon

  13. 4 out of 5

    Edgar

  14. 4 out of 5

    Inzamam Haq

  15. 4 out of 5

    Bivek Prasai

  16. 5 out of 5

    Dmytro Palamarchuk

  17. 4 out of 5

    Thomas Harris

  18. 5 out of 5

    uosɯɐS

  19. 4 out of 5

    Deepesh

  20. 4 out of 5

    Lynn Griffin

  21. 4 out of 5

    Andrew

  22. 5 out of 5

    Sapphire Ng

Add a review

Your email address will not be published. Required fields are marked *

Loading...
We use cookies to give you the best online experience. By using our website you agree to our use of cookies in accordance with our cookie policy.