Role of master data management in large organizations

These days mostly all data generated is stored as digital data. Whatever action happens in the world, the outcome tends to be a digital data. From social networking sites to customer management applications and to further different business segments and operational streams of the organizations, everything formulates to be a digital data. For organizations, data is generated from different business sectors and varied operational segments. The question that is prevalent and is hard to answer is how do organizations take best holistic decisions on data sets coming from varied applications and source systems. To take effective decisions, organizations need to collate the data coming from different source systems and create a unified master data. Decisions taken on such master records are more meaningful and impactful. Master Data Management is a technology that helps organizations to collate varied data sets originating from different source systems and create a unified master data set. This master data set can be further used by the organizations for effective analytics, operational benefits, streamlined reporting and even for adhering to regulatory requirements.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2013

Author dc:creator

• Soni, Rupreet Singh.

Advisor dc:contributor.advisor

• Patrick Hale.

• Engineering Systems Division.
• System Design and Management Program.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/145244

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/145244