I have uploaded all the files needed

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Answered 1 days AfterOct 08, 2023

Answer To: I have uploaded all the files needed

Atul answered on Oct 10 2023
37 Votes
Pivot
    Row Labels    Sum of Invoice Amount ($)
    China- Mexico     152176
    China- USA     143586
    Japan- China     133646
    Japan- USA     154021
    Mexico- China     168187
    Mexico- USA     170080
    South Africa- Mexico     1402
84
    South Africa- USA     153624
    USA- Japan     153932
    USA- South Africa    164826
    Grand Total    1534362
Pivot_PONumber
                        1. Data Risks:
    Row Labels    Count of PONumber                 - Inaccurate or incomplete data in the ShipLocation, InvoiceAmt, FlatDuty, TariffAmt, or PONumber fields.
     China     10                 - Missing data for some transactions, leading to underreporting.
     Japan     10
     Mexico     10                2. Analysis Risks:
     South Africa     10                 - Pivot table configuration errors may result in incorrect summarization.
     USA     10                 - Failure to account for potential outliers or anomalies in the data.
    Grand Total    50
                        Controls
                        3. Data Risk Controls:
                         - Regular data validation and cleaning processes to ensure accuracy and completeness.
                         - Implement data validation checks to identify and correct anomalies or missing values in the dataset.
                         - Audit and validate the data sources periodically to maintain data quality.
                        4. Analysis Risk Controls:
                         - Review and validate pivot table configurations by a second party to minimize errors.
                         - Conduct sensitivity analysis to identify and address any outliers or unusual patterns in the data that may affect the analysis results.
                         - Cross-verify the analysis results with manual calculations to ensure accuracy, especially when dealing with financial data like InvoiceAmt and FlatDuty.
                        These controls aim to mitigate the identified risks associated with data quality, pivot table configuration, and potential outliers during the analysis.
Dataset
    Vendors Data
     VendorID      VendorName      VendorLocation      PurchaseDate      InvoiceAmt      PONumber
    1     Vendor A      China      2023-01-15     5000     PO123
    2     Vendor B      Mexico      2023-02-20     3500     PO124
    3     Vendor C      USA      2023-03-10     6000     PO125
    4     Vendor D      Japan      2023-04-05     4500     PO126
    5     Vendor E      South Africa      2023-05-12     5200     PO127
    Countries Data
         CountryID      CountryName
        1     China
        2     Mexico
        3     USA
        4     Japan
        5     South Africa
        6    Egypt
        7    Israel
    Routes Data
         RouteID      StartLocation      EndLocation     Ship Location     Distance (km)...
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