Year: 2024
Type: article
Abstract: In the era of digital transformation, effective management of material master data has become pivotal for organizations seeking to optimize their supply chain and enterprise resource planning (ERP) systems.Material master data serves as a critical repository of information regarding materials used in production and operations, influencing decision-making processes and overall organizational efficiency.However, the complexity of data integration and conversion poses significant challenges, leading to inconsistencies, inaccuracies, and inefficiencies in data handling.This paper addresses these challenges by proposing a structured approach to designing efficient material master data conversion templates.The research begins with a comprehensive analysis of the existing literature on material master data management and conversion methodologies.Previous studies highlight the common pitfalls in data integration processes, such as data redundancy, incomplete information, and prolonged conversion times.Building on these insights, we introduce a novel architecture that emphasizes the importance of template-driven data conversion.This architecture not only streamlines the conversion process but also enhances data accuracy and integrity by implementing standardized templates tailored to specific organizational requirements.The proposed methodology incorporates a multi-step approach, beginning with a detailed assessment of current material master data structures.By identifying key attributes and establishing data validation rules, the templates facilitate seamless integration with various ERP systems.Furthermore, the paper discusses the implementation of automated validation mechanisms, reducing manual intervention and minimizing human error.Case studies are presented to demonstrate the practical application of these templates, highlighting improvements in conversion speed, data consistency, and overall user satisfaction.This research contributes to the field of data management by providing a framework for designing effective conversion templates that can be adapted to different organizational contexts.The findings underscore the critical role of efficient data conversion in supporting agile operations and informed decision-making.
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4404770817