Master Data Management Maturity Evaluation: A Case Study in Educational Institute
Abstract
To deal with an organization’s essential data as a single coherent system, Master Data Management is essential. It links all the critical data as a unified version of truth known as “Master data”. It is responsible for data sharing, integration, analytics and decision making. The quality of business intelligence, analytics, and AI depends upon Master data management. A maturity model can be used to test the effectiveness of Master Data Management program in an organization. In the present research, a case organization has been considered to assess master data’s maturity level using Spruitz–Pietzka’s maturity model. The considered model consists of 13 focus areas and five key topics. Each focus area consists of packed capabilities used to determine the maturity of master data. The findings showed among 62 applicable capabilities, 44 (70.96%) are applied and 18 (29.03) are absent. Thus, on the basis of applied capabilities, overall maturity level is taken as 1. Hence, an organization can accomplish higher development by implementing missing capabilities.KeywordsMaster data management (MDM)Maturity levelsMaster data management maturity model (MD3M)
... Namun, ia menekankan perlunya peningkatan standar kompetensi guru untuk mengoptimalkan pemanfaatan teknologi dalam pengajaran yang sesuai dengan kebutuhan dan perkembangan anak. Dari pendapat para ahli di atas, terlihat bahwa optimasi manajemen pendidikan Sekolah Dasar dengan teknologi dan standar kompetensi guru saling terkait dalam upaya meningkatkan kualitas pembelajaran dan pengelolaan sekolah secara efektif (Burhan, 2024;Jayasinghe, 2021;Kaur, 2023;Naz, 2021;Zinchenko, 2020). ...
Sekolah Dasar menjadi tempat bagi anak untuk memperoleh pendidikan seluas-luasnya di masa usia operasional konkretnya. Untuk itu, dalam upaya mengoptimalkan manajemen pendidikan di Sekolah Dasar, integrasi teknologi dan standar kompetensi guru menjadi kunci penting. Melalui pemanfaatan teknologi, seperti penggunaan sistem manajemen pembelajaran online dan aplikasi pendidikan interaktif, sekolah dapat meningkatkan efisiensi administrasi dan memfasilitasi pembelajaran yang lebih interaktif dan terukur sehingga bisa menghasilkan proses pelaksanaan pendidikan yang efektif. Sementara itu, standar kompetensi guru yang jelas dan terukur memberikan dasar yang kokoh untuk pengembangan profesionalisme guru, memastikan bahwa mereka memiliki keterampilan dan pengetahuan yang diperlukan untuk memberikan pembelajaran yang berkualitas dan sesuai dengan tuntutan zaman. Dengan demikian, pendekatan yang terintegrasi antara teknologi dan standar kompetensi guru dapat membawa perubahan positif dalam manajemen pendidikan di Sekolah Dasar, sehingga bisa menciptakan lingkungan belajar yang lebih efektif dan relevan bagi siswa.
... Standar yang ditetapkan secara nasional mencakup standar kompetensi lulusan, standar isi, standar proses, standar pendidikan dan tenaga kependidikan, standar prasarana dan prasarana, standar pengelolaan, standar pembiayaan, dan standar penilaian. Terutama berkaitan dengan standar pendidikan dan tenaga pendidik, karena tenaga pendidik sangat penting untuk pengembangan dan pelaksanaan pendidikan (Cantelar, 2020;Carvalho, 2020;Kalra, 2022;Kaur, 2023;Liu, 2021;Rabeiy, 2023;Zhu, 2021 Adapun tujuan yang hendak dicapai dari penelitian ini adalah untuk mengetahui makna dari manajemen tenaga pendidik dan kependidikan, untuk mengetahui tentang kebijakan yang mendukung adanya standar nasional tenaga pendidik dan kependidikan, untuk menganalisis pengelolaan manajemen tenaga pendidik dan kependidikan sesuai dengan POAC pada observasi yang telah dilakukan, serta untuk mengetahui pemanfaatan teknologi informasi pada tenaga pendidik dalam konteks meningkatkan hasil belajar siswa. ...
Penelitian ini difokuskan pada Manajemen Tenaga Pendidik dan Kependidikan dalam Meningkatkan Mutu Pendidikan Terhadap Kualitas Hasil Belajar Peserta Didik SMA Negeri 13 Surabaya. Penelitian ini bertujuan untuk mengetahui: a. pengelolaan manajemen tenaga pendidik dan kependidikan sesuai dengan planning, organizing, actuating, controlling; b. pemanfaatan teknologi informasi pada tenaga pendidik dalam konteks meningkatkan hasil belajar siswa; c. faktor pendukung dan penghambat manajemen pendidik dan tenaga kependidikan dalam meningkatkan mutu pendidikan terhadap kualitas hasil belajar peserta didik SMA Negeri 13 Surabaya; d. strategi manajemen pendidik dan tenaga kependidikan yang efektif dan efisien dalam meningkatkan mutu pendidikan di SMA Negeri 13 Surabaya. Pengelolaan pendidik dan tenaga kependidikan adalah kegiatan yang harus dilaksanakan oleh pendidik dan tenaga kependidikan masuk ke dalam organisasi pendidikan. Akhirnya, berhenti melalui proses pendidikan dan latihan pengembangan serta pemberhentian. Tujuan manajemen pendidik dan tenaga kependidikan adalah mengelola dan mengatur kinerja pendidik yang akan mempengaruhi hasil belajar peserta didik. Selain itu, landasannya adalah standar nasional pendidikan. Dalam Peraturan Pemerintah 57/2021 pasal 20 disebutkan bahwa standar pendidik adalah kriteria minimal kompetensi dan kualifikasi yang dimiliki pendidik untuk melaksanakan tugas dan fungsinya sebagai teladan, perancang pembelajaran, fasilitator, dan motivator peserta didik. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian kualitatif, yang melibatkan penguraian data yang telah dikumpulkan. Yang dapat dimasukkan dalam penelitian ini adalah catatan kepala sekolah dan guru. teknik pengumpulan data yang digunakan antara lain dokumentasi, observasi, dan survei.
Enterprise Resource Planning (ERP) and Business Intelligence (BI) system demand progressive rules for maintaining the valuable information about customers, products, suppliers and vendors as data captured through different sources may not be of high quality due to human errors, in many cases. The problem encounters when this information is accessible across multiple systems, within same organization. Providing adequacy to this scattered data is a top agenda for any organization as maintaining the data is complicated, as having high quality data. Master Data Management (MDM) provides a solution to these problems by maintaining "a single reference of truth" with authoritative source of master data (Customer, products, employees etc). Master Data Management (MDM) is a highlighted concern now a day as valid data is the demand for strategic, tactical and operational steering of every organization. The lane to MDM initiates with the quality of data which demands for discovery of master data, profiling and analysis. As inadequacy of data may leads to adverse effects such as wrong decision, loss of time, bad results and unnecessary risk. Thus there is a need to deal with master data and quality of this specific data in a successful and efficient manner. For ensuring this purpose, an approach is proposed in this paper. The research focuses on development of a Model for Data Profiling to assess the level of Quality Traits for Master Data Management. Results are shown by executing the defined steps on TALEND tool over collected dataset. Thus, level of quality traits processes directly correlates with an organization's ability to make the proper decisions and better outcomes.
The microfinance sector has a strategic role since they facilitate integration and development of all social classes to sustained economic growth. In this way the actual point is the exponential growth of data, resulting from transactions and operations carried out with these companies on a daily basis, becomes imminent. Appropriate management of this data is therefore necessary because, otherwise, it will result in a competitive disadvantage due to the lack of valuable and quality information for decision-making and process improvement. The Master Data Management (MDM) give a new way in the Data management, reducing the gap between the business perspectives versus the technology perspective In this regard, it is important that the organization have the ability to implement a data management model for Master Data Management. This paper proposes a Master Data management maturity model for microfinance sector, which frames a series of formal requirements and criteria providing an objective diagnosis with the aim of improving processes until entities reach desired maturity levels. This model was implemented based on the information of Peruvian microfinance organizations. Finally, after validation of the proposed model, it was evidenced that it serves as a means for identifying the maturity level to help in the successful of initiative for Master Data management projects
This research aims to assess the master data maturity of an organization. It is based on thorough literature study to derive the main concepts and best practices in master data maturity assessment. A maturity matrix relating 13 focus areas and 65 capabilities was designed and validated. Furthermore, an assessment questionnaire was developed which can be used to assess the master data management maturity. Emphasis is laid on the academic validity of the model development process. Our extensive case study provides an example of iterative human learning, behavior and collaboration resulting from technological needs in a large-scale infrastructural network. Concludingly, this research uncovers reasons and incentives for prudent master data management and provides a benchmarking tool with which different organizations can compare their levels.
Purpose
Master data management (MDM) aims to improve the value of an organization’s most important data, such as customer data, by bridging the silos between organizational units and information systems. However, incorporating data management practices into an organization is not a simple task. The purpose of this paper is to provide a new understanding of the challenges in establishing and developing the MDM function within an organization.
Design/methodology/approach
This papers report an ethnographic study within a municipality. The data were collected from two consecutive MDM development projects over the time period of 32 months by observing MDM-related activities and interviewing appropriate actors. Observations, interviews, and impressions were documented to a diary that was later qualitatively analyzed. Various project documentation were also used.
Findings
In total 15 challenges were identified. Seven of these were not identified earlier in the literature. New challenges included legislation-driven challenges, mutual understanding of master data domains, and the level of granularity for those domains. Eight issues, such as data owner and data definitions, were MDM specific, others being more generic. All of the issues were identified as preconditions or as affecting factors for the others. Three of the issues were identified as pivotal. The issues emphasize strong alignment between the complex concept of MDM and the organization adopting it.
Research limitations/implications
This research was based on a single qualitative case study, and caution should be exercised with regard to generalizations. The findings increase understanding about the complex organizational phenomena. The study offers public sector and private sector practitioners insights of the organizational issues that establishing a MDM function can encounter.
Originality/value
The issues discovered in the research shed light on the strong alignment between the complex concept of MDM and the organization. The results of this study assist researchers in their endeavor to understand the organizational aspects of MDM, and to build theoretical models, frameworks, practices, and explanations.
Master data management: its importance and reasons for failed implementations
- P Lepeniotis