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Data Management

Ensure data accuracy with double entry, parallel entry, and verification against the original source. Implement type, range, presence, and control total checks for precise data validation.

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Data Management

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  1. Data Management • Data Verification • Data Validation

  2. Data Verification • Double Entry • Parallel Entry • Verify against the original source

  3. Double Entry Please Enter Your Password : ****** Re-enter your password : ****** Sorry! Not the same. Please re-enter!

  4. Double Entry Please Enter Your Password : ****** Re-enter your password : ******

  5. Parallel Entry 246879 246789 246789

  6. Verify with original Enter you student number : 9801234 Student Card No: 9801234 Name: Chan ching Sex: F Correct ? YES NO

  7. Data Validation • Type Check • Range Check • Presence Check • Control Total Check • Check Digit

  8. Type Check Name : Le0n La1 Invalid

  9. Range Check Date of birth : 32/13/1986 Invalid

  10. Presence Check Name : LeonLai Invalid Date of birth : 23/3/1986 Student Number: Sex : F

  11. Control Total Check Total number of students in class = 40 DATA Invalid Number of records processed = 39

  12. Weightings:8 7 6 5 4 3 2 Check Digit- weightedmodulo 11 method Use the ID no E453712(x) as an example X = 14 * 11 - (5*8 + 4*7 +5*6 +3*5 + 7*4 + 1*3 + 2*2) = 154 - 148 = 6 Valid ID no = E453712( ) 6

  13. Verification Make sure the data entered is the same as the source Validation Make sure the data entered meets the specified criteria Name must be letters Months must be 1 – 12 All necessary fields must be present e.g. student no. Numbers must match with the check digit Verification vs Validation

  14. Web reference • http://www.webopedia.com/ • http://www.ora.com/reference/dictionary/

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