Your client is a manufacturer of womens clothing. The company manufacturers everything from shorts and t-shirts to professional and formal attire for women. The visualization titled Number of Units Sold v. Inventory Total Dollar Value January 2017 presents the clients invoice data for January 2017. The client sells to a variety of customers including department stores, online retailers, and smaller boutiques. These data are part of your preliminary analytical procedures.

1. Using the same data, what other type of analysis or visualization could you do?

2. If you could get more data than what you see in the visualization, what would you want and why?

3. How can an auditor use data analytics to assess risk associated with management assertions for financial statements?

4. What is the main benefit to using audit data analytics?

Search Filters Number of Units Sold v. Inventory Total Dollar Value January 2017 Tables YOK Marks 0060 08000080 3 Automatic O Date # Invoice Number1 Ats Measure Names # Inventory Sper invoice # Inventory units # Migrated Data (Cound) # Number of Records # Measure Values 88 S GOK 8 @ 8 O 8000080 8002 00 Color Size Lagel 8 290 800 08 ada Teal 88 SA SOK Toatti 988 Invoice Numbe. 8 Invoice Number 65508 Inventory Sper invoice: 53,716 Inventory units 1,742 10K O nventory Sper in 00000 GEC 808 8 SOK O O oogo 388 O 8 O 20K 00000000 O 8000 80 80 10K OK 0 200 400 600 300 1000 1200 2400 1600 1800 2000 2200 2400 2600 Inventory units Search Filters Number of Units Sold v. Inventory Total Dollar Value January 2017 Tables YOK Marks 0060 08000080 3 Automatic O Date # Invoice Number1 Ats Measure Names # Inventory Sper invoice # Inventory units # Migrated Data (Cound) # Number of Records # Measure Values 88 S GOK 8 @ 8 O 8000080 8002 00 Color Size Lagel 8 290 800 08 ada Teal 88 SA SOK Toatti 988 Invoice Numbe. 8 Invoice Number 65508 Inventory Sper invoice: 53,716 Inventory units 1,742 10K O nventory Sper in 00000 GEC 808 8 SOK O O oogo 388 O 8 O 20K 00000000 O 8000 80 80 10K OK 0 200 400 600 300 1000 1200 2400 1600 1800 2000 2200 2400 2600 Inventory units