This document outlines the steps taken in an audit project. It describes 46 steps across 7 chapters, including counting records, analyzing statistics, looking for duplicates, filtering data, joining tables, importing and formatting data from multiple sources, and extracting reports. The project involved auditing employee data, bonuses, salaries, payments, and card transactions to verify records and identify errors.

1. Xun Zhou
Group: Team 1 YCAZ
5/12/2015
Acc 635 Advance Auditing
ACL Project
Chapter 2
Step 1: Count 41 records
Step 2: Count 200 records

2. Step 3: Statistics Output

3. Step 4: statistics output

4. Step 5: Look for duplicate last name

5. Step 6: Look for duplicate employee number
Step 7: Find total bonuses paid in 2002

6. Step 8: Descending and ascending view of salaries

8. Step 9: Hire dates filter
Step 10: Bonus percentage salary column add

9. Chapter 3
Step 11: create a new project and import data files
Step 12: Import and change file type

10. Step 13: Import file and change column name

11. Step 14: Change data format

12. Step 15: Import database and finish all the import of the project
Step 16: Check and change data type

13. Step 17: Verify data

14. Step 18: Add and edit notes

15. Chapter 4
Step 19: Determine total liability

16. Step 20: Extract expiring card numbers

17. Step 21: Data export

18. Step 22: Use Find function filter data
Step 23: find function

19. Step 24: filter expression

21. Step 25: Passed Due Payment Data

22. Chapter 5
Step 26: Summarize table

23. Step 27: Between function

24. Step 28: Extract data

25. Step 29: Match function

26. Step 30: Classify command

27. Chapter 6
Step 31: Joint table

28. Step 32: Related table

29. Step 33：Identify employees’ departments

30. Step 34: Joint table employees and company department

31. Step 35: Extract report

32. Step 36: HTML format report

33. Chapter 7
Step 37: Import table with 2 sheets and verify

34. Step 38: Compare and correct the table layouts

35. Step 39: Extract joint data

36. Step 40: Check duplicate amount

37. Step 41: Check the format of card numbers

38. Step 42: Corrected the records and extract table

39. Step 43: Filter invalid records