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Making sense of the Master Data Management (MDM) concept: old wine in new bottles or new wine in old bottles?

Sprague, David ; Tadhg, Nagle and Carlsson, Sven LU (2012) In Journal of Decision Systems 21(3). p.245-258
Abstract
This paper presents an insight into the emerging concept of master data management (MDM) and highlights issues that both academics and business managers should consider to better understand the meaning of this ‘hot topic’. This critical reflection paper is forward-looking and uses the concept of the knowledge discovery in databases (KDD) process to present an abstracted view of the potential steps constituting an organisation’s business intelligence (BI) initiative, in an effort to make sense of the MDM concept. We argue that MDM is effectively data warehousing branded with enterprise resource planning (ERP) market rhetoric and contains an added repository of ‘master data’. Furthermore, we view an organisational implementation of MDM as... (More)
This paper presents an insight into the emerging concept of master data management (MDM) and highlights issues that both academics and business managers should consider to better understand the meaning of this ‘hot topic’. This critical reflection paper is forward-looking and uses the concept of the knowledge discovery in databases (KDD) process to present an abstracted view of the potential steps constituting an organisation’s business intelligence (BI) initiative, in an effort to make sense of the MDM concept. We argue that MDM is effectively data warehousing branded with enterprise resource planning (ERP) market rhetoric and contains an added repository of ‘master data’. Furthermore, we view an organisational implementation of MDM as another attempt at data quality/integration due to the failure of previous data warehousing, and ERP and ERPII initiatives within the organisation. Finally, we argue that more research should be conducted to fully appreciate the true meaning of the concept of MDM. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Decision Systems
volume
21
issue
3
pages
245 - 258
publisher
Taylor & Francis
external identifiers
  • scopus:84874281348
ISSN
2116-7052
DOI
10.1080/12460125.2012.735583
language
English
LU publication?
yes
id
9a5d62da-99aa-45af-b7e4-e4f6cf01a8f8 (old id 3168039)
date added to LUP
2016-04-01 11:02:23
date last changed
2024-01-10 16:46:45
@article{9a5d62da-99aa-45af-b7e4-e4f6cf01a8f8,
  abstract     = {{This paper presents an insight into the emerging concept of master data management (MDM) and highlights issues that both academics and business managers should consider to better understand the meaning of this ‘hot topic’. This critical reflection paper is forward-looking and uses the concept of the knowledge discovery in databases (KDD) process to present an abstracted view of the potential steps constituting an organisation’s business intelligence (BI) initiative, in an effort to make sense of the MDM concept. We argue that MDM is effectively data warehousing branded with enterprise resource planning (ERP) market rhetoric and contains an added repository of ‘master data’. Furthermore, we view an organisational implementation of MDM as another attempt at data quality/integration due to the failure of previous data warehousing, and ERP and ERPII initiatives within the organisation. Finally, we argue that more research should be conducted to fully appreciate the true meaning of the concept of MDM.}},
  author       = {{Sprague, David and Tadhg, Nagle and Carlsson, Sven}},
  issn         = {{2116-7052}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{245--258}},
  publisher    = {{Taylor & Francis}},
  series       = {{Journal of Decision Systems}},
  title        = {{Making sense of the Master Data Management (MDM) concept: old wine in new bottles or new wine in old bottles?}},
  url          = {{http://dx.doi.org/10.1080/12460125.2012.735583}},
  doi          = {{10.1080/12460125.2012.735583}},
  volume       = {{21}},
  year         = {{2012}},
}