TY - JOUR
T1 - Strategies for Master Data Management
T2 - A Case Study of an International Hearing Healthcare Company
AU - Haug, Anders
AU - Staskiewicz, Aleksandra Magdalena
AU - Hvam, Lars
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - Data quality (DQ) issues consume a significant part of many companies’ administrative and operational costs. To reduce such costs, companies often engage in master data management (MDM) initiatives to improve their DQ. MDM is, however, not a silver bullet that solves all data quality issues, but typically there are trade-offs between different data management strategies. Such trade-offs have not received much attention in the academic literature, and conceptualizations of the strategies for implementing MDM are sparse. Thus, with the aim of conceptualizing MDM strategies and understanding their consequences, this paper conducts a longitudinal case study at a large international hearing healthcare company in which an MDM initiative was implemented. The analysis identifies consequences of centralized and decentralized MDM approaches, on which basis four distinct strategies for data management are defined.
AB - Data quality (DQ) issues consume a significant part of many companies’ administrative and operational costs. To reduce such costs, companies often engage in master data management (MDM) initiatives to improve their DQ. MDM is, however, not a silver bullet that solves all data quality issues, but typically there are trade-offs between different data management strategies. Such trade-offs have not received much attention in the academic literature, and conceptualizations of the strategies for implementing MDM are sparse. Thus, with the aim of conceptualizing MDM strategies and understanding their consequences, this paper conducts a longitudinal case study at a large international hearing healthcare company in which an MDM initiative was implemented. The analysis identifies consequences of centralized and decentralized MDM approaches, on which basis four distinct strategies for data management are defined.
KW - Centralization-decentralization
KW - Data governance
KW - Data management
KW - Data quality
KW - Master data management
U2 - 10.1007/s10796-022-10323-z
DO - 10.1007/s10796-022-10323-z
M3 - Journal article
AN - SCOPUS:85139258590
SN - 1387-3326
VL - 25
SP - 1903
EP - 1923
JO - Information Systems Frontiers
JF - Information Systems Frontiers
ER -