主数据管理的参考流程模型.pdf

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 © IWI-HSG – Leipzig, February 28, 2013, Reichert, Otto, Österle / 2 1.1 Business Requirements for Master Data  Master data describes key business objects in an enterprise (e.g. Stahlknecht Hasenkamp 1997; Mertens 1997)  Examples are product, material, customer, supplier, employee master data  Master data of high quality is important for meeting various business requirements (e.g. Knolmayer Röthlin 2006; Kokemüller 2010; Pula et al. 2003)  Compliance with legal provisions  Integrated customer management  Automated business processes  Effective and efficient reporting © IWI-HSG – Leipzig, February 28, 2013, Reichert, Otto, Österle / 3 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 Project 2 Project 3 Legend: Data quality pitfalls (e. g. migrations, process touch points, poor corporate reporting. © IWI-HSG – Leipzig, February 28, 2013, Reichert, Otto, Österle / 4 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  Empirical analysis regarding the positioning of master data management withi