scholarly journals PERANCANGAN MASTER DATA MANAGEMENT PADA REGULATOR INSTITUSI FINANSIAL

2018 ◽  
Vol 4 (2) ◽  
pp. 28-33
Author(s):  
Sugiharto Hartono

Regulator Institusi Finansial di Indonesia mengemban amanat dan wewenang untuk menyelenggarakan sistem pengaturan dan pengawasan yang terintegrasi terhadap keseluruhan kegiatan di pelaku Industri Jasa Keuangan (IJK). Tujuan penelitian ini adalah untuk menghasilkan single view data Akuntan dan Penilai, untuk melakukan migrasi data Akuntan dan Penilai yang ada pada excel ke sistem, dan dapat dijadikan pondasi dan langkah awal dalam penerapan MDM untuk sektor lainnya di Regulator Institusi Finansial. Metode yang digunakan dalam penelitian ini adalah studi literatur, studi lapangan (wawancara dan dokumentasi), serta menggunakan Object Oriented Analysis and Design. Solusi yang diberikan adalah dengan melakukan perancangan master data management agar tidak terjadi kesalahan serta mempercepat dalam pengambilan keputusan (dalam hal redudansi data pada profesi penunjang lainnya) dikarenakan media penyimpanan data masing masing profesi berbeda.

Author(s):  
Indrajani Indrajani

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 animplementation 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 thatcan improve the quality of customer data.


Author(s):  
David A. Weir ◽  
Stephen Murray ◽  
Pankaj Bhawnani ◽  
Douglas Rosenberg

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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