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Effective Master Data Management

Former Member
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73

How does master data get managed effectively when it comes from different sources like suppliers, tools, and applications?

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Answers (2)

Answers (2)

Former Member
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Hi Sherry,

The answer to this lies in the very definition of MDM which goes like -

"Master Data Management (MDM) is the technology, tools, and processes required to create and maintain consistent and accurate lists of master data".

Things to note - One is that MDM is not just a technological problem. In many cases, fundamental changes to business process will be required to maintain clean master data, and some of the most difficult MDM issues are more political than technical.

Second thing to note is that MDM includes both creating and maintaining master data. Investing a lot of time, money, and effort in creating a clean, consistent set of master data is a wasted effort unless the solution includes tools and processes to keep the master data clean and consistent as it is updated and expanded.

It is worthwhile to mention that MDM is a long term strategy and organizations reap benefit which more visible in long term.

Managing of master data is done effectively with set of tools,procedures,standards and process,all have role to play in a MDM implementation.

I think your question is more dealing with how does MDM manage unstructured data.

This is done by firstly finalizing what is to be managed and what are the sources of data.

This data is imported in MDM after setting a Data Model,Setting up a governance model,choosing toolset,setting infrastructure,integration consuming and producing systems etc.

How does SAP MDM do this -

Please go though this link for the tools SAP MDM uses for effective data management :

http://wiki.sdn.sap.com/wiki/display/SAPMDM/SAP+NetWeaver+MDM+Tools

Thanks,

Ravi

Former Member
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hi sherry,

when you import the redundant, duplicate, non-qualified data in mdm, mdm used to remove redundancy, do de-duplication, and excute qualified data by the processes like matching and merging, validations, assignment etc. so you can manage your data in different repositories relevant to particular module for eg we product repository, material repository etc, you can create your own also.

also we dedicated terms like taxonomy and hierarchy to manage the large amount of data(this is done in mdm data manager).

Regards

Nitish Sharma