Managing master data in global B2B manufacturing company: the impact of MDM ownership, MDM processes, and MDM solutions
Laine, Anna (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202504156566
https://urn.fi/URN:NBN:fi:amk-202504156566
Tiivistelmä
High-quality master data is fundamental to the operational success of organizations, driving performance across diverse functions and underpinning the daily activities of various departments. Realizing its full value necessitates a deliberate strategic investment, effectively supported and structured by a comprehensive Master Data Management (MDM) framework.
This research investigates the pivotal role of master data within the operational landscape of global B2B manufacturing organizations. It specifically examines the impact of master data in both well-managed and poorly-managed MDM environments. The study critically evaluates how master data ownership, established MDM processes, and implemented MDM solutions contribute to and shape organizational MDM practices aimed at enhancing master data quality.
The central objective is to determine how these key elements influence the effectiveness of data management and the assurance of data quality within organizations. Specifically, the research explores the extent to which clearly defined master data ownership, functioning governance processes, and strategically deployed technical solutions enhance data accuracy, consistency, and overall reliability.
Through the application of a robust theoretical framework and the collection of rich insights via expert interviews, this thesis aims to empower organizations with a foundation for critical self-assessment. This will enable them to reflect on their current MDM practices, benchmark their experiences against empirical findings, and cultivate a deeper understanding of master data's strategic imperative. Ultimately, the study seeks to advance organizational awareness of MDM's significance, provide a means for evaluating maturity in master data practices, and identify actionable opportunities for continuous improvement and capability development.
This research investigates the pivotal role of master data within the operational landscape of global B2B manufacturing organizations. It specifically examines the impact of master data in both well-managed and poorly-managed MDM environments. The study critically evaluates how master data ownership, established MDM processes, and implemented MDM solutions contribute to and shape organizational MDM practices aimed at enhancing master data quality.
The central objective is to determine how these key elements influence the effectiveness of data management and the assurance of data quality within organizations. Specifically, the research explores the extent to which clearly defined master data ownership, functioning governance processes, and strategically deployed technical solutions enhance data accuracy, consistency, and overall reliability.
Through the application of a robust theoretical framework and the collection of rich insights via expert interviews, this thesis aims to empower organizations with a foundation for critical self-assessment. This will enable them to reflect on their current MDM practices, benchmark their experiences against empirical findings, and cultivate a deeper understanding of master data's strategic imperative. Ultimately, the study seeks to advance organizational awareness of MDM's significance, provide a means for evaluating maturity in master data practices, and identify actionable opportunities for continuous improvement and capability development.