Use Cases for Business Metadata - A Viewpoint-Based Approach to Structuring and Prioritizing Business Needs

Business metadata plays a crucial role in increasing the data quality of information systems. Despite its importance, business metadata is primarily discussed from a technical perspective, while its business value is scarcely addressed. Therefore, this article aims at contributing to the further development of existing design approaches by explicitly accounting for the use cases of business metadata. In the course of this article a classification of use cases will be developed, which can be utilized when identifying the respective informational requirements a business metadata system needs to satisfy. A banking case is presented that demonstrates how this conceptual model has successfully been applied in practice.

[1]  Adir Even,et al.  Managing Metadata in Data Warehouses: Pitfalls and Possibilities , 2004, Commun. Assoc. Inf. Syst..

[2]  Pamela Pipe The Data Mart: A New Approach to Data Warehousing , 1997 .

[3]  Adir Even,et al.  The metadata enigma , 2006, CACM.

[4]  Ian Sommerville,et al.  Requirements Engineering: Processes and Techniques , 1998 .

[5]  Yair Wand,et al.  Organizational memory information systems: a transactive memory approach , 2005, Decis. Support Syst..

[6]  InduShobha N. Chengalur-Smith,et al.  The Impact of Experience and Time on the Use of Data Quality Information in Decision Making , 2003, Inf. Syst. Res..

[7]  Jane P. Laudon,et al.  Management Information Systems: Managing the Digital Firm (10th Edition) , 2006 .

[8]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[9]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[10]  Erhard Rahm,et al.  An Integrative and Uniform Model for Metadata Management in Data Warehousing Environments , 1999, DMDW.

[11]  Richard Y. Wang,et al.  A product perspective on total data quality management , 1998, CACM.

[12]  Stephanie Watts,et al.  A Relevant, Believable Approach for Data Quality Assessment , 2003, ICIQ.

[13]  R. Anthony,et al.  Planning and Control Systems: A Framework for Analysis , 1965 .

[14]  Sid L. Huff,et al.  Searching and Scanning: How Executives Obtain Information From Executive Information Systems , 1997, MIS Q..

[15]  Tobias Bucher,et al.  Bereitstellung und Nutzung von Endbenutzungs-Metadaten im Kontext der Informationslogistik: Empirische Erkenntnisse und Gestaltungsempfehlungen , 2008, Data Warehousing.

[16]  Lawrence A. West,et al.  Metadata as a knowledge management tool: supporting intelligent agent and end user access to spatial data , 2002, Decis. Support Syst..

[17]  Jerry N. Luftman Key Issues for IT Executives 2004 , 2005, MIS Q. Executive.

[18]  Boris Otto,et al.  The Effect of Using a Semantic Wiki for Metadata Management: A Controlled Experiment , 2009 .

[19]  P BallouDonald,et al.  The Impact of Data Quality Information on Decision Making , 1999 .

[20]  G. Shankaranarayan,et al.  Managing Data Quality in Dynamic Decision Environments: An Information Product Approach , 2003, J. Database Manag..

[21]  InduShobha N. Chengalur-Smith,et al.  The Impact of Data Quality Information on Decision Making: An Exploratory Analysis , 1999, IEEE Trans. Knowl. Data Eng..

[22]  Anca Vaduva,et al.  Metadata Management for Data Warehousing: An Overview , 2001, Int. J. Cooperative Inf. Syst..

[23]  Graeme G. Shanks,et al.  Stakeholder viewpoints in requirements definition: A framework for understanding viewpoint development approaches , 1996, Requirements Engineering.

[24]  Matthias Jarke,et al.  Fundamentals of Data Warehouses , 2000, Springer Berlin Heidelberg.

[25]  Thilini Ariyachandra,et al.  Key organizational factors in data warehouse architecture selection , 2010, Decis. Support Syst..

[26]  Shengping Liu,et al.  EIAW: Towards a Business-Friendly Data Warehouse Using Semantic Web Technologies , 2007, ISWC/ASWC.

[27]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[28]  Lorcan Dempsey,et al.  Metadata: a current view of practice and issues , 1998, J. Documentation.

[29]  Henry Mintzberg The rise and fall of strategic planning , 1993 .

[30]  Björn Niehaves,et al.  Reconstructing the giant: On the importance of rigour in documenting the literature search process , 2009, ECIS.

[31]  Charles Chowa,et al.  Information System Success: Individual and Organizational Determinants , 2006, Manag. Sci..

[32]  Adir Even,et al.  Enhancing Decision Making with Process Metadata: Theoretical Framework, Research Tool, and Exploratory Examination , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[33]  Jeretta Horn Nord,et al.  Executive information systems: A study and comparative analysis , 1995, Inf. Manag..

[34]  Alan Simon,et al.  Metadata Solutions: Using Metamodels, Repositories, XML, and Enterprise Portals to Generate Information on Demand , 2001 .

[35]  W. H. Inmon,et al.  Dw 2.0: The Architecture for the Next Generation of Data Warehousing , 2008 .

[36]  Neil Foshay,et al.  Does data warehouse end-user metadata add value? , 2007, CACM.

[37]  Barbara Wixom,et al.  An Empirical Investigation of the Factors Affecting Data Warehousing Success , 2001, MIS Q..

[38]  Adam Fadlalla,et al.  Data Warehouse Administration and Management , 2000, Inf. Syst. Manag..

[39]  Julio Cesar Sampaio do Prado Leite,et al.  Requirements Validation Through Viewpoint Resolution , 1991, IEEE Trans. Software Eng..

[40]  Mark Mosley,et al.  DAMA guide to the data management body of knowledge , 2010 .

[41]  Joyce C. Niland,et al.  White Paper: An Informatics Blueprint for Healthcare Quality Information Systems , 2006, J. Am. Medical Informatics Assoc..