MDG: Data Quality
We have some standard data quality solutions provided by SAP MDG framework as follows.
1. Search applications
2. Duplicate check configuration
3. Validation and Derivation (BRF+ , BADI)
4. Data Quality Management rules
Search Applications:
·
For all the Out of the Box Standard Master Data
Application, SAP provided Standard Search Application.
·
For MM, BP, AR, EAM, FI all having standard
Search application.
·
For MM before S4/HANA use Enterprise search.
After Introducing S4/HANA it uses HANA Search.
·
For Adding our Custom Attribute into the search
criteria in Enterprise search it is complex, but in HANA search its very easy
to bring.
·
In Fresh system, it’s not recommended to
activate the standard search view provided by SAP.
·
It’s recommended to copy the standard search
view and add our own attributes in that if we want custom one. We need to keep
standard search view as it is for reference.
·
In HANA, by default Fuzziness will get set default.
·
Search Result is combined result of active area
and staging area record.
· When we add custom entity and custom table into data model scope and wants to bring that to search screen attribute criteria, then we need to do the configuration ‘Define join, Filed mapping, and Authorizations for Reuse tables’ under Search and Duplicate check.
Access Class: Use to get the data from active area as well as staging area.
Freeform: Use as a free search, like google. Regardless field it will give you result from any of the field. It is only relevant for Enterprise search.
Fuzzy: Fuzzy search is relevant for Enterprise search and HANA search only. HANA search is fuzzy by default.
Dupliacte check
·
As General process, the customer will search for
the object before creating new one in MDG.
·
But sometimes if the customer not searched for
existing object and tried to create new object then this Duplicate check help
customer to show the existing object present in system.
·
For this there is Match Profile in which
standard out of the box match profiles given by SAP in which there are
attributes by which we can determine the duplicate criteria.
·
Weight field can provide preference of the
fields in Duplicate check.
·
Fuzziness gives you accuracy of Duplicate check.
The default value is ‘1’. It means the complete pattern will match with exact
result. The range start from ‘0’ to ‘1’. Giving value ‘0.5’ means if the value
match 50% of criteria then it will show in Duplicate check.
· If we want the attributes on Duplicate check popup but not in the Duplicate check configuration then we can check the checkbox ‘Ex. Attr’.
·
For one Data model we can have only one Match
Profile in place.
·
In Low and High threshold, the range of weight
of the match can be configured.
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