There are two types of ProcureSU datasets:
a. Commodity Codes – Read about this in 2017.08.16-ProcureSU-Instruction-Manual
b. Emergency Form – Read about this in 2017.08.16-ProcureSU-Instruction-Manual
The two files represent two different procurement transactions and have two different governance and policies. Emergency Form must be only for true emergency purchases. Analyze the two datasets separately.
Example of red-flag transactions:
* Emergency form: SSJ Q1 Radio, SSJ Q2 Radio, SSJ Q3 Radio answers with “NO”.
* Emergency form: type — after the fact.
* Emergency form: should not be used to pay extended period contractors.
* Emergency from: items without value “N/A”.
* Commodity code: Vender ID vs. Commodity code (Eg. Office depot using code office supply & beverage).
* Commodity code: some “PR line ID” are blank.
Here are some other sources:
After you finish this part of data analytics project, I will place the other order for analyzing the whole data analytics project (please see the pdf guides, these will help you better understand the project). More detailed instructions and materials will be provided. Please let me know if you cannot do this analytics, then I will choose the other writer next time. Thank you!
Comments from Customer
Discipline: Data Analytics
Analyze user individual/department correlation to the red flag transactions. The most important red-flag transactions are prohibited transactions and transactions that raise red flags for fraud. Please identify what the prohibited items are and analyze the dataset. If you can find these transactions, just ignore the examples of red-flag transactions that I wrote down. If these transactions cannot be found, then please analyze the examples of red-flag transactions that I wrote down.
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