@inproceedings{61d6c593cb374901aff698dd7b870696,
title = "Master Data Management Maturity Assessment: A Case Study of Organization in Ministry of Education and Culture",
abstract = "The Master Data Management (MDM) empowers the organization to consolidate and integrate multiple master data sources into a single source of truth. Successful implementations of Master Data Management enable the organization to have standardized content that reflects business-based logic and rules processing. The goal of most MDM is to ensure that master data includes reference details that reflect the current state of the business. Master data management maturity model is a measurement of the ability of an organization for continuous improvement in master data management. The aim of this study is to measure MDM implemented in case organization with Master Data Management Maturity Model (MD3M). MD3M has five key topics and 13 focus areas. Those key topics and focus areas are designed to measure master data management maturity, each focus area has packed capabilities to be accomplished. The measurement showed that its maturity level is 0. Nevertheless, it not means that the organization did not implement MDM. The findings showed that almost 50% of the capabilities in MD3M had been implemented. By implementing further improvement about the missing capabilities, the organization will achieve higher maturity.",
keywords = "Capability, Focus area, Key topics, MD3M, Master data, Master data management, Maturity level",
author = "Pratama, {Fajar Gumelar} and Surya Astana and Yudhoatmojo, {Satrio Baskoro} and Hidayanto, {Achmad Nizar}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2018 ; Conference date: 01-11-2018 Through 02-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IC3INA.2018.8629524",
language = "English",
series = "2018 International Conference on Computer, Control, Informatics and its Applications: Recent Challenges in Machine Learning for Computing Applications, IC3INA 2018 - Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
editor = "Latifah, {Arnida L.}",
booktitle = "2018 International Conference on Computer, Control, Informatics and its Applications",
address = "United States",
}