The document summarizes a presentation about data quality testing. It discusses examples of data quality issues that resulted in significant losses and errors. It then outlines different types of data quality checks like row counts, consistency, referential integrity, completeness and accuracy that are important to validate data quality. The presentation emphasizes that data quality testing is important to make accurate decisions and improve the health of data.

1. Resurrecting the Prodigal Son - Data Quality “ Rise from Ashes: Battle of Data Quality Testing”

4. Bad, Bad, Bad Data Quality www.Test2008.in Erroneous Mailing hit $611 billion for US businesses in 2002

5. DQ is not my problem? Think Again !!!!! www.Test2008.in

6. DQ Hot Candidates www.Test2008.in Data Movement Migrations Backups Restore Import Export Data Warehousing Business Intelligence OLTP OLAP CRM ERP

7. DQ Ishikawa Diagram www.Test2008.in Bad Decisions (Loss $ & Customers) DQ Reqmts not documented Lack of white box testing Data is dynamic CRM & ERPs Implementations Mergers / Take Over

8. www.Test2008.in Data Quality DQ is an indicator that tells about the health of the DATA

9. www.Test2008.in GOOD Data Quality DQ is good if data is fit to use for decision making

11. DQ Checks www.Test2008.in Row Counts Consistency Referential Integrity Redundancy Usability Completeness Domain Integrity Timeliness Accuracy Validity

12. Row Count Check www.Test2008.in

13. Completeness Check www.Test2008.in

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15. Consistency Check www.Test2008.in

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17. Accuracy Check www.Test2008.in

18. Validity Check www.Test2008.in

20. Redundancy Check www.Test2008.in

21. Referential Integrity Check www.Test2008.in

22. Domain Integrity Check www.Test2008.in

23. Timeliness www.Test2008.in

24. How do we test DQ? www.Test2008.in DQ Rule Engine Metadata Results Create Procedure RowCount (SrcTbl, TgtTbl) Begin Declare SRC, TGT Integer Select SRC = Count(*) from SrcTbl Select TGT = Count(*) from TgtTbl) If SRC = TGT Then Return “PASS” Else Return SRC – TGT End If End Metadata Results Row Count Logic Duplicate Logic Create Procedure Duplicate(Tbl) Begin Declare Dup Integer Select Dup = Count of Select * from Tbl GroupBy <<ColumnList>> Having count(*) > 1 If Dup = 0 Then Return “PASS” Else Return Dup End If End End Rule Tbl1 Tbl2 RC Emp Emp RI Emp Dept DC HR HR Rule Result Comment RC Pass - RI Fail 10 DC Pass -

25. You can’t improve what you can’t measure www.Test2008.in Threshold Time 5 % 10 % 100 % Data Quality Red: BAD DQ Yellow: Watch it Green: Good DQ