Master Data Management Model in Company: Challenges and Opportunity
DOI:
https://doi.org/10.21512/comtech.v6i4.2179Keywords:
database, MDM, cleansing, matchingAbstract
The purpose of this research is to analyze, design, and implement Master Data Management (MDM) model for company, which include database processing that will be used in the quality of data customer and produce single view of customer. The research method used is literature study from a variety of journals, books, e-books, and articles on the internet. Also, fact finding techniques are done, such as by analyze, collect, and examine the documents, interviews, and observations. Then, other research methods used to analyze and design MDM model are using cleansing and matching technique. The result obtained from this research is an
implementation MDM model for the company, where if implemented, will improve the quality of data significantly. The conclusion which can be obtained from this research is that MDM is one of the factors that
can improve the quality of customer data.
Plum Analytics
References
Baum, D. (2015), Masters of the Data, Retrieved from http://www.oracle.com/us/c-central/ciosolutions/
information-matters/importance-of-data/index.html.
Berson, A., Dubov, L. (2007), Master Data Management and Customer Data Integration for A Global
Enterprise. New York: McGraw-Hill.
Connolly, T., Begg, C. (2010). Database System; a Practical Approach to design, Implementation and Management (5 ed.). England: Pearson Education.
Indrajani. (2014). Database Systems. Jakarta: Elex Media Computindo.
Indrajani. (2011). Perancangan Basis Data Dalam All In 1. Indonesia: Elex Media Computindo.
Indrajani, Wihendro, & Safan. (2013). Rancang Bangun Konseptual Basis Data Klinik 24 Jam. Seminar Nasional Teknologi Informasi & Multimedia 2013. Yogyakarta: STMIK AMIKOM.
Malcolm, C. (Dec 2010), The Governance Challenge for Master Data Management, Data Governance Conference, Orlando, Florida.
Tapan K.D., Manas, R.M. (2011). A Study on Challenges and Opportunities in Master Data Management. International Journal of Database Management Systems (IJDMS). 3(2).
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows:
