scholarly journals MASTER DATA MANAGEMENT IMPLEMENTATION IN DISTRIBUTED INFORMATION SYSTEM CASE STUDY DIRECTORATE GENERAL OF TAX, MINISTRY OF FINANCE OF REPUBLIC OF INDONESIA

2019 ◽  
Vol 15 (1) ◽  
pp. 18-27
Author(s):  
Aris Budi Santoso ◽  
Yoga Pamungkas ◽  
Yova Ruldeviyani
Keyword(s):  
Information System ◽  
Data Management ◽  
Reference Data ◽  
Maturity Model ◽  
Maturity Level ◽  
Distributed Information System ◽  
Distributed Information ◽  
Master Data ◽  
Master Data Management ◽  
Directorate General

Information system architecture of Directorate General of Tax (DGT) is centralized with distributed data. The main problem are replication of master and reference data which spread among applications which vary on data structure and the synchronization jobs that spread in many locations and not well managed. Therefore, Master Data Management (MDM) needs to be implemented with accordance to characteristic of centralized distributed information system. Master data management maturity evaluation is conducted using MDM maturity model (MD3M) Spruit dan Pietzka, the result is Data Protection, Data Quality and Maintenance topic have maturity level 3 or defined process stage, while Data Model, Usage and Ownership topic have maturity level 2 or repeatable stage. Solutions to solve MDM issues and to enhance the master data management maturity level are proposed based on Data Management Body of Knowledge (DMBOK). DGT’s MDM issues are related to insufficiency of policy and architecture of MDM system. Policy and architectural approach of centralized MDM system is required to solve that issues. Proposed solution involves the use of data virtualization to enable implementation of centralized system of MDM without consolidate all master and reference data into new database.

scholarly journals Master Data Management Maturity Model for the Microfinance Sector in Peru

2018 ◽  
Author(s):  
Daniel Vásquez Zúñiga ◽  
Romina Kukurelo Cruz ◽  
Carlos Raymundo Ibañez ◽  
Francisco Dominguez ◽  
Javier M. Moguerza
Keyword(s):  
Data Management ◽  
Maturity Model ◽  
Master Data ◽  
Master Data Management

scholarly journals Master Data Management Planning: A Case Study of Flight Information System at PT Angkasa Pura I (Persero)

2020 ◽  
Vol 1444 ◽  
pp. 012017
Author(s):  
R I P Putra ◽  
J P Nurahman ◽  
R R Yana ◽  
H Winarno ◽  
A N Hidayanto ◽  
...  
Keyword(s):  
Information System ◽  
Data Management ◽  
Management Planning ◽  
Master Data ◽  
Master Data Management

MD3M: The master data management maturity model

2015 ◽  
Vol 51 ◽  
pp. 1068-1076 ◽  
Author(s):  
Marco Spruit ◽  
Katharina Pietzka
Keyword(s):  
Data Management ◽  
Maturity Model ◽  
Master Data ◽  
Master Data Management

Experiences in Establishing Trustworthy Digital Repositories Within a Large Multi-National Pipeline Company

2012 ◽  
Author(s):  
David A. Weir ◽  
Stephen Murray ◽  
Pankaj Bhawnani ◽  
Douglas Rosenberg
Keyword(s):  
Data Management ◽  
Lessons Learned ◽  
Records Management ◽  
Digital Repositories ◽  
Geographically Dispersed ◽  
Local Business ◽  
Master Data ◽  
Business Area ◽  
Master Data Management ◽  
Trusted Data

Traditionally business areas within an organization individually manage data essential for their operation. This data may be incorporated into specialized software applications, MS Excel or MS Access etc., e-mail filing, and hardcopy documents. These applications and data stores support the local business area decision-making and add to its knowledge. There have been problems with this approach. Data, knowledge and decisions are only captured locally within the business area and in many cases this information is not easily identifiable or available for enterprise-wide sharing. Furthermore, individuals within the business areas often keep “shadow files” of data and information. The state of accuracy, completeness, and timeliness of the data contained within these files is often questionable. Information created and managed at a local business level can be lost when a staff member leaves his or her role. This is especially significant given ongoing changes in today’s workforce. Data must be properly managed and maintained to retain its value within the organization. The development and execution of “single version of the truth” or master data management requires a partnership between the business areas, records management, legal, and the information technology groups of an organization. Master data management is expected to yield significant gains in staff effectiveness, efficiency, and productivity. In 2011, Enbridge Pipelines applied the principles of master data management and trusted data digital repositories to a widely used, geographically dispersed small database (less than 10,000 records) that had noted data shortcomings such as incomplete or incorrect data, multiple shadow files, and inconsistent usage throughout the organization of the application that stewards the data. This paper provides an overview of best practices in developing an authoritative single source of data and Enbridge experience in applying these practices to a real-world example. Challenges of the approach used by Enbridge and lessons learned will be examined and discussed.

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