unit c: analysing data characteristics 主要參考資料來源 : kpmg acl 課程講義資料...
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![Page 1: Unit C: Analysing data characteristics 主要參考資料來源 : KPMG ACL 課程講義資料 PriceWaterHouseCooper ACL 課程講義資料 ACL Training Materials](https://reader035.vdocuments.pub/reader035/viewer/2022081417/56649d4e5503460f94a2e120/html5/thumbnails/1.jpg)
Unit C: Analysing data characteristics
主要參考資料來源 : KPMG ACL課程講義資料PriceWaterHouseCooper ACL課程講義資料
ACL Training Materials
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Situations when we would use data analysis
• ACL commands that allow us to perform data analysis:
• Data validity commands;• Analysis of numeric fields and values;• Analysis of non-numeric fields and values.
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Analysing data characteristics
Numeric fields
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Analysing data characteristics ( 數值 )
• Count
• Total
• Statistics
• Profile
• Stratify
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Count
• Count - counts the number of records that meet the specified condition;
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Total
• See if you can derive the total value of the invoices (ie voucher type ‘IN’) that were billed before 1997
• 可驗證資料之完整性
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Total
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Total
PricewaterhouseCoopers
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Statistics and Profile ( 統計分析 )
• Statistics - returns a statistical summary of one or more numeric fields;
• Profile - returns similar but slightly less detailed information;
• Run the statistics command on the value field.
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Statistics and Profile ( 統計分析 )
Total value of receivables$468,880.69
Average value$865.81
Positive values609 recordswith value of$527,277.55
Negative values(probably credit notes)
161 recordswith value of$(58,396.86)
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Stratify ( 數值分類 )
可自行輸入 Min 及 Max ,亦可由系統帶出, Interval 預設值為10 ,亦可由 Free 中自行設定區間 。
可將欄位為數字型態之資料分類彙總。
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Stratify ( 數值分類 )
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Workshop C1
•開啟 ap_trans•執行 Analyze/Stratify•若先執行 Statistic 則 Min 及 Max 會自動帶出•請問 InvoiceAmount 高於 10,000 元之筆數共有幾筆•區分 0,1000,3000,5000,7000 之區間
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Workshop C2
• 任務:– 行銷部門請您協助,依下列單價區間的設計,將目前庫存存貨
歸類,並列示出各區間範圍內的交易筆數及庫存數小計。 (Inventory.fil)
– 0.00 to 9.99 10.00 to 49.99 50.00 to 99.99100.00 to 599.99
– 瞭解哪一個單價區間的庫存數量最多?
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Analysing data characteristics
Non-numeric fields
PwC
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Analysing data characteristics ( 非數值 )
• Classify
• Age
• Summarise
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Analysing data characteristics
• Using these commands we could:
• Group data into subsets and return relevant totals for these subsets:
--> Group data in a payroll file into departments and return the total payroll value for each department;
• Perform ageing of records with date fields:
--> Age a receivables file by intervals of 30 days to determine bad and doubtful debts.
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Classify
• 可將鍵值為文字型態之資料分類彙總,且可按種類別彙總產生長條圖。
• 選擇欲列入分類計算的資料欄位。 ( 須為數值型態 )
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Classify
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Age
• Performs ageing of records based upon a selected date field;
• 可自行設定 Cut - Off 的日期,且可自訂區間
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Age
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Summarize
• 資料須先排序或索引
• 若為數值型態,則須使用 String 函數轉換,才能執行
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Summarize
Summarise
• The order that the Summarise On fields are selected is very important
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Summarize
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Workshop C3
• 經過了動之以情、誘之以利、脅之以暴,終於,您自 MIS 取得了整年度應收帳款的交易檔 (AR.fil) 。
以下是應收帳款資料有效的交易型態: Invoice – IN
Payment – PM
Credit Notes – CN
Transfer – TR
• 任務:
– 請對各交易型態的交易金額小計後與會計部門的帳務資料核對;同時,也請瞭解每一交易型態最近發生日期以及其交易客戶為何。