scholarly journals Caracterización de marcos de referencia que apoyan la implementación del gobierno de datos propuesto por MinTIC para entidades públicas

2021 ◽  
Vol 9 (2) ◽  
pp. 42-58
Author(s):  
Mauricio Garcés Ordóñez ◽  
Mayda Patricia González Zabala
Keyword(s):  
Data Management ◽  
Open Group ◽  
Data Governance ◽  
Governance Framework ◽  
Body Of Knowledge ◽  
Architecture Framework ◽  
Management Association

El gobierno de datos (GD) asegura que los datos cumplan con las expectativas del negocio, reduzca costos de gestión, protección y desarrolle los datos como un activo estratégico y de valor. En Colombia, el Ministerio de Tecnologías de la Información y las Comunicaciones (MinTIC) ha entregado una herramienta conceptual para que las entidades públicas puedan adoptar la Arquitectura TI Colombia, definiendo lineamientos y guías para facilitar su entendimiento y aplicación. Este artículo tiene como Objetivo: Caracterizar el alcance de los marcos de referencia para facilitar la implementación del GD establecido por MinTIC para las entidades públicas. Metodología: El proceso consistió en: 1) identificar marcos de referencia, 2) caracterizar relación de marcos de referencia con lineamientos y elementos, 3) identificar alineación de los ámbitos y aportes de los marcos de gestión y GD para la implementación del GD, y 4) analizar los resultados de la investigación. Resultados: El proceso permitió identificar los elementos que cada marco de referencia aporta a la implementación del GD de acuerdo a los lineamientos establecidos por el MinTIC. Conclusiones: El Data Management Body of Knowledge del Data Management Association (DAMA) entrega herramientas y técnicas que facilitan la implementación de lo estipulado por el ministerio, el cual puede complementarse con elementos del Data Governance Framework del Data Governance Institute (DGI) y The Open Group Architecture Framework (TOGAF).

scholarly journals Analysis and Design of Data Governance at the Financial Services Authority

InFestasi ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. InPres
Author(s):  
Desta Arisandi ◽  
Tubagus Muhamad Yusuf Khudri
Keyword(s):  
Data Management ◽  
Financial Services ◽  
Data Governance ◽  
Governance Framework ◽  
Services Sector ◽  
Analysis And Design ◽  
Management Association ◽  
Tools And Techniques ◽  
Management Capabilities

This research is a case study conducted at the Financial Services Authority on the implementation of a data governance framework based on the model from The Data Management Association in 2017. The purpose of this study is to produce a data governance framework in managing integrated Financial Services Sector data. This study uses a qualitative approach in describing data governance activities. The research instruments were interviews, questionnaires, and content analysis. The results show that data governance frameworks provide guidelines for various parties to act in accordance with the strategies that have been developed. Data governance program at the Financial Services Authority requires further improvements in the form of establishing a data governance charter, assessing the maturity level of data management capabilities, defining the operational framework, adjusting the roadmap, establishing a change management team, creating mechanisms and procedures for handling data problems, and developing tools and techniques which supports the entire data governance program.

Coordinating Enterprise Services and Data

2013 ◽  
pp. 241-274
Author(s):  
Keith R. Worfolk
Keyword(s):  
Data Management ◽  
Portfolio Management ◽  
Best Practice ◽  
Maturity Model ◽  
Data Governance ◽  
Enterprise Information ◽  
Capability Maturity ◽  
Architecture Framework ◽  
Master Data Management ◽  
Enterprise Soa

The critical inter-dependencies between Enterprise Services and Enterprise Data are often not given due consideration. With the advent of Cloud Computing, it is becoming increasingly important for organizations to understand the relationships between them, in order to formulate strategies to jointly manage and coordinate enterprise services and data to improve business value and reduce risk to the enterprise. Enterprise Services encompass Service-driven applications deployed on-premises in the enterprise data centers as well as in the Cloud for the “extended enterprise.” Enterprise Data Management encompasses the cross-application enterprise-level perspective of data in an information-sharing enterprise, and the critical business data that is created, maintained, enriched, and shared outside the traditional enterprise firewall. This chapter discusses and proposes best practice strategies for coordinating the enterprise SOA & EDM approaches for mutual success. Primary coordination aspects discussed include: Service & Data Governance, Master Data Management, Service-driven & EDM Architecture Roadmaps, Service Portfolio Management, Enterprise Information Architecture, and the Enterprise Data Model. It recommends a facilitative Service-driven Data Architecture Framework & Capability Maturity Model to help enterprises evaluate and optimize overall effectiveness of their coordinated Service-driven & EDM strategies.

scholarly journals Erfolgsfaktor Data Governance

2021 ◽  
Vol 2021 (3) ◽  
pp. 24-26
Author(s):  
Christiana Klingenberg ◽  
◽  
Kristin Weber
Keyword(s):  
Data Management ◽  
Data Governance ◽  
Governance Framework ◽  
Master Data ◽  
Master Data Management

Von Master Data Management (MDM) versprechen sich Unternehmen Effizienz, Transparenz und Risikominimierung im Umgang mit ihren Stammdaten. MDM soll dazu beitragen, Stammdaten als „Asset“ im Unternehmen zu bewirtschaften. Der vorliegende Beitrag liefert praktische Tipps, wie MDM-Implementierungen nachhaltig gestaltet werden können, damit die Daten einen Beitrag zum Unternehmenserfolg leisten. Er stellt das qualitätsorientierte Data Governance Framework vor. Das Framework stellt sicher, dass bei einer Implementierung alle Aspekte von MDM adressiert werden inkl. strategischer und organisatorischer Fragestellungen. Die konsequente Ausrichtung an der Datenqualität sorgt dafür, dass alle Unternehmensbereiche Stammdaten nutzenstiftend einsetzen können.

Perencanaan Arsitektur Sistem Informasi Rekam Medis dan Monitoring Gizi Buruk Berbasis Cloud Computing (Studi Kasus: Dinas Kesehatan Propinsi Jawa Barat)

2017 ◽  
Vol 8 (3) ◽  
Author(s):  
Ova Nurisma Putra
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Medical Record ◽  
Medical Records ◽  
Monitoring And Evaluation ◽  
Open Group ◽  
Development Method ◽  
Information System Architecture ◽  
Architecture Framework ◽  
Architecture Development

Abstract. West Java Provincial Health Office still faces difficulties in managing information, especially in medical records. Recording and reporting of malnutrition are still done in some stages starting from collecting data from village midwives, puskesmas, Regency/City Health Office then Provincial Health Office and forwarded to the the central office. It is necessary to manage information through service system by utilizing Cloud Computing based on information technology. This research uses The Open Group Architecture Framework (TOGAF) approach in Architecture Development Method (ADM), from Architecture Capability Iteration to  Architecture Development Iteration. Monitoring and Evaluation (M & E) are two integrated activities in the context of controlling a program. The results of this research are planning a medical record information system architecture and monitoring malnutrition based on Cloud Computing with the name of M2Rec (Medical Record and Monitoring) in the form of integrated recommendation and development between current information system and proposed information system architecture.Keywords: togaf adm, medical record and monitoring, cloud computing Abstrak. Perencanaan Arsitektur Sistem Informasi Rekam Medis dan Monitoring Gizi Buruk Berbasis Cloud Computing. Dinas Kesehatan Propinsi Jawa Barat masih mengalami kesulitan dalam pengelolaan informasi yang baik, terutama pada proses rekam medis, pencatatan dan pelaporan gizi buruk masih dilakukan secara bertingkat mulai pengumpulan data dari bidan desa, puskesmas, Dinas Kesehatan Kabupaten/Kota kemudian Dinas Kesehatan Propinsi dan diteruskan ke pusat. Sehingga perlu diupayakan pengelolaan informasi melalui sistem pelayanan dengan memanfaatkan teknologi informasi berbasis Cloud Computing. Penelitian ini menggunakan pendekatan framework The Open Group Architecture Framework (TOGAF) Architecture Development Method (ADM), yaitu iterasi ke satu pada Architecture Capability Iteration daniterasi ke dua pada Architecture Development Iteration. Monitoring dan Evaluasi (M&E) merupakan dua kegiatan terpadu dalam rangka pengendalian suatu program. Hasil dari penelitian ini adalah perencanaan arsitektur sistem informasi rekam medis dan monitoring gizi buruk berbasis Cloud Computing dengan nama M2Rec (Medical Record and Monitoring) yang berupa rekomendasi integrasi dan pengembangan antara sistem informasi berjalan saat ini dengan arsitektur sistem informasi yang diusulkan.Kata kunci: togaf adm, medical record and monitoring, cloud computing.

scholarly journals Analisis Dan Perancangan Enterprise Architecture Direktorat Metrologi Pada Fungsi Kepegawaian Dan Keuangan Menggunakan Framework Togaf ADM

2017 ◽  
Vol 4 (01) ◽  
Author(s):  
Dewi Rahmayanti ◽  
Rachmadita Andreswari ◽  
Ridha Hanafi
Keyword(s):  
Information System ◽  
System Architecture ◽  
Enterprise Architecture ◽  
Open Group ◽  
Master Plan ◽  
Business Architecture ◽  
Information System Architecture ◽  
Architecture Framework ◽  
Preliminary Phase

Direktorat Metrologi merupakan instansi pemerintahan yang bergerak dibidang pelayanan masyarakat dalam melakukan pengujian alat ukur, takar, timbang, dan perlengkapannya (UTTP). Dalam melaksanakan tugas pokok yang tercantum dalam Peraturan Menteri Perdagangan Republik Indonesia (Permendagri) nomor 8/M-DAG/PER/2/2016 tentang Organisasi dan Tata Kerja Kementrian Perdagangan. Terdapat salah satu aktivitas utama yang dilakukan, yaitu program pasar tertib ukur yang bertujuan untuk meningkatkan citra pasar tradisional melalui kebenaran hasil pengukuran pada pelayanan perizinan dan non-perizinan. Hal ini dapat dicapai dengan adanya teknologi informasi yang digunakan Direktorat Metrologi melalui sistem informasi Pelayanan Satu Pintu (PSP) yang digunakan untuk pengelolaan data penerimaan layanan kemetrologian. Namun dalam sistem informasi yang ada saat ini belum dapat memenuhi seluruh kebutuhan pada aktivitas bisnis yang dilakukan, sehingga sebagian aktivitas harus dilakukan secara manual. Untuk memenuhi kebutuhan tersebut dan menyelaraskan antara aspek bisnis dengan aspek teknologi informasi, maka dibuat perancangan enterprise architecture dengan metode TOGAF ADM framework. The Open Group Architecture Framework (TOGAF) terdiri dari beberapa fase yang dijadikan guidelines dalam melakukan perancangan enterprise architecture, yaitu preliminary phase, architecture vision, business architecture, information system architecture, dan technology architecture. Dalam penelitian ini akan dibahas strategi bisnis dan infrastruktur Direktorat Metrologi khususnya fungsi kepegawaian dan keuangan. Dengan menggunakan framework TOGAF ADM dapat menghasilkan architecture blueprint sebagai bahan untuk menyusun IT master plan Direktorat Metrologi.

Challenges of Data Management in Always-On Enterprise Information Systems

2010 ◽  
pp. 443-462
Author(s):  
Mladen Varga
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Data Privacy ◽  
Data Governance ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Degradation Data ◽  
Association Data ◽  
Data Continuity ◽  
Integration Data

Data management in always-on enterprise information systems is an important function that must be governed, that is, planned, supervised, and controlled. According to Data Management Association, data management is the development, execution, and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the value of data and information assets. The challenges of successful data management are numerous and vary from technological to conceptual and managerial. The purpose of this chapter is to consider some of the most challenging aspects of data management, whether they are classified as data continuity aspects (e.g., data availability, data protection, data integrity, data security), data improvement aspects (e.g., coping with data overload and data degradation, data integration, data quality, data ownership/stewardship, data privacy, data visualization) or data management aspect (e.g., data governance), and to consider the means of taking care of them.

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