Process models related to master data management Model ITIL (Batini & Scannapieco 2006) Otto et al. (2012) Focus IT service management Data quality management activities Software functionality No integrated process focus Assessment
quality improvements
2.3.5
Data Model
2.4
data requirements
2.4.1
Model data
Analyze implications
Roll out data model changes
2.4.6
Data Architecture
3 3.1
3.1.1
Identify requirements



How to design master data management processes?
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1.4 Enterprises are in need of support in this matter
Empirical analysis regarding the positioning of master data management within an organization (Otto & Reichert 2009) Master data governance design (Otto 2011)
A
2. Define objectives of a solution
2.1 Focus group A (2009-12-01) 2.2 Principles of orderly reference modeling
3. Design & development
B
3.1 Literature review 3.2 Principles of orderly reference modelling 3.3 Process map techniques 3.4 Focus groups B (2010-11-26), C (2011-11-24)
Company
Main Challenges Establishing a central master data Shared Service Center for governance and operational tasks Support of high quality master data for online sales channels Central governance for new data processes Set up of a central master data organization for material, customer, and vendor master data due to changing business model, and hence, processes New organization of medical and safety division Design of data governance processes for material master data
1.3 Master Data Management must be organized
Master data management is an application-independent function (Smith & McKeen 2008) The organizational structure of master data management has been research to some extent
Role models related to master data management Model (Dyché & Levy 2006) (English 1999): (Loshin 2007) (Weber 2009) Focus Customer data integration Total Quality data Management (TQdM) No focus on activities Data governance Data governance reference model Assessment
1.2 Difficulties in practice when it comes to managing master data quality
Case of Bayer CropScience (cf. Brauer 2006)
Master Data Quality
Time Project 1
C
4. Demonstration
4.1 Three participative case studies
5. Evaluation
C
5.1 Focus group C (2011-11-24) 5.2 Three participative case studies 5.3 Multi-perspective evaluation of reference models
6. Communication
6.1 Scientific paper at hand
2009
2010
2011
2012
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4.1 Overview of the Reference Process Model for Master Data Management
Legend:
Project 2
Project 3
Data quality pitfalls (e. g. migrations, process touch points, poor corporate reporting.
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A Reference Process Model for Master Data Management
Andreas Reichert, PD Dr.-Ing. Boris Otto, Prof. Dr. Hubert Österle Leipzig February 28, 2013
Agenda
1. Introduction 2. Related Work 3. Research Methodology 4. Results Presentation 5. Conclusion and Outlook
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2.2.2 Adapt
2.1.3 Adapt
2.1.4 Adapt
standards & guidelines
2.2.3 Adapt
authorization concept
2.2.4 Define
2.1.5 Adapt
2.1.6
support processes
2.2.5 Initiate
.2
2.4.3
Model data architecture
3.1.2
Model workflows / UIs
2.4.4
Analyze implications on change
2.4.5
Test & implement
3.1.5
Roll out data architecture
3.1.3
Data Quality Assurance Governance
2.3
business issues
2.3.1 Identify
measurement metrics
2.3.2
reporting structures
2.3.3 2.3.4
quality targets Test & implement changes
Process Area
1
Main Process
1.1
Process
1.1.1
Strategy
2 2.1
Strategic Functions
Develop and adapt vision
1.1.2
Align w/ business & IT strategy
1.1.3
Define strategic targets


* Source: Workshop presentations at the CC CDQ Workshops by companies
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2.1 Related Work in Research and Practice
3.1.4
3.1.6
Data Life Cycle
3.2
3.2.1
Manage requests
Create data
Update data