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TCA and DQM Overview Anil Passi Please click to proceed through presentation.

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Presentation on theme: "TCA and DQM Overview Anil Passi Please click to proceed through presentation."— Presentation transcript:

1 TCA and DQM Overview Anil Passi Please click to proceed through presentation

2 HRMS PER_ALL_PEOPLE_F EMPLOYEE_NUMBER[CID] LAST_NAME FIRST_NAME DATE_OF_BIRTH PERSON_ID Reference to Party Id TCA HZ_PARTIES Party Number Last Name First Name Date Of Birth Gender Reference to Person Id PARTY_ID Student System Student Number **Same as Party Number Last Name **Referenced from TCA First Name **Referenced from TCA Date Of Birth **Referenced from TCA Party Id Payables PO_VENDORS Vendor Number Vendor Name Employee Id Stored independently of TCA. Users ensure Vendor Number/name is same as in TCA References Kept in Synch-In Different physical schemas DQM Staging Process DQM Registry HZ_STAGED_PARTIES Staging Transformation rules applied DQM Screen Displays Highest score records on top Applies Filter criteria Applies weightings Applies Scoring Unlike HRMS, OSS simply references these fields from TCA Table HZ_PARTIES

3 Purpose of Transformation in DQM? First Name Anil Last Name Passian PASSIANPSN ExactCleanse Staging ->Exact and Cleanse are common transformations given by Oracle [Pre-Seeded] ->You can define as many custom transformation rules, like replacing Z with S ->Multiple transformation rules can be applied to each column. For each transformation applied, a independent column value is stored in staging table ANIL Exact ANL Cleanse EXACT TRANSFORMATION Make all characters UPPER case Remove non-alphanumeric characters Replace multiple white spaces by single white space CLEANSE – All above rules of EXACT plus Remove double letters Remove all vowels, except leading vowels Transformation can be applied again to values that user is searching. Lets say user searches on Aneeal Passion ->These transformations can differ from those used for staging. But most likely we use same transformations when searching as that for staging. While doing DQM config, we will give Higher Scoring to Last Name, and lower Scoring for First Name match Aneeal First Name Passion Last Name ANEEALANLPASSIONPSN ExactCleanse ExactCleanse For Last Name, we give 100% Weighting to EXACT Match, and say 65% weight to CLEANSE. Hence match based on Exact will have higher rank User searches for Aneeal Passion….eeeks Match Found

4 To setup DQM for Staging:- 1.Decide the columns that you would like to search & score/rank upon. For example Last Name, First Name, DOB, NI Number etc 2.Define custom attributes for those columns that are not held within TCA table like HZ_PARTIES. For example NI Number is not in TCA tables, hence we can define Custom Attributes for NI Number, and then define Custom Procedure that returns NI number from HR tables [for a given party_id] 3.Define the transformations for each column. Multiple transformations can be defined Multiple transformations can be applied to each column. Make a transformation active to allow it being used for scoring or data search If Acquisition Flag is checked, it means this transformed value will be used for searching initial set of matching records. If Acquisition Flag is NOT checked, it means this transformed value will be used solely for the purpose of Scoring the records returned by acquisition phase.

5 Define match rules These are the transformations which will be used for performing search. Only those Transformations that have their Acquisition Checkbox Flag checked [in previous slide], can be used in acquisition phase A custom attribute can be defined to Filter out invalid Party Records. Filter is applicable if we can programmatically suppress duplicate/invalid Party records from appearing. Scoring happens after Filtration and Acquisition has been done. The resultant set of records are then run through scoring process, so that we can display highest ranked matches on the top of list

6 Scoring Phase [After Acquisition phase is completed] Transformations used in Acquisition can be used for Scoring too. Assign score to each column. Match found on Party Number will have Score 100, whereas match on Last Name can be score of 90. Score for match on Title[Mr/Ms] will be still lower Within each column, each transformation can be given different Weight. EXACT match can be given 100% weight, whereas CLEANSE [after removing vowels] will be give lower weight.

7 Records with Highest score are displayed on the Top of DQM Screen End of presentation - Thanks

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