Process-driven data quality management through integration of data quality into existing process models: Application of complexity-reducing patterns and the impact on complexity metrics

Business and Information Systems Engineering

Volumn 5, Issue 6, 2013, Pages 433-448

  Glowalla, Paul ^a   Sunyaev, Ali ^a  

^a UNIVERSITY OF COLOGNE   (Germany)

Author keywords

Data quality; Information quality; Model complexity; Model integration; Model understandability; Process model; Process modeling

Indexed keywords

EID: 85027919849     PISSN: None     EISSN: 18670202     Source Type: Journal    
DOI: 10.1007/s12599-013-0297-x     Document Type: Article

References (83)

1. Balka E, Whitehouse S, Coates ST, Andrusiek D (2012) Ski hill injuries and ghost charts: socio-technical issues in achieving e-health interoperability across jurisdictions. Information Systems Frontiers 14(1): 19-42
2. Ballou D, Wang R, Pazer H, Kumar TayiG (1998) Modeling information manufacturing systems to determine information product quality. Management Science 44(4): 462-484
3. Bandara W, Gable GG, Rosemann M (2005) Factors and measures of business process modelling: model building through a multiple case study. European Journal of Information Systems 14(4): 347-360
4. Basu A, Blanning RW (2003) Synthesis and decomposition of processes in organizations. Information Systems Research 14(4): 337-355
5. Batini C, Cappiello C, Francalanci C, Maurino A (2009) Methodologies for data quality assessment and improvement. ACMComputing Surveys 41(3): 1-52
6. Becker J, Rosemann M, von Uthmann C (2000) Guidelines of business process modeling. In: van der Aalst WMP, Desel J, Oberweis A (eds) Business process management, models, techniques, and empirical studies
7. Buhl HU, Röglinger M, Stöckl S, Braunwarth KS (2011) Value orientation in processmanagement. Bus Inf Syst Eng 3(3): 163-172
8. Capgemini (2013) IT-Trends-Studie. http://www.de.capgemini.com/it-trends- studie. Accessed 2013-03-25
9. Cappelli C, Leite JCSP, Batista T, Silva L (2009) An aspect-oriented approach to business process modeling. In: Proc 15th workshop on early aspects, Charlottesville, pp 7-12
10. Cardoso J (2006) Process control-flow complexity metric: an empirical validation. In: Proc IEEE international conference on services computing, Chicago, pp 167-173
11. Davidson B, Lee YW, Wang R (2004) Developing data productionmaps: meeting patient discharge data submission requirements. International Journal of Healthcare Technology and Management 6(2): 223-240
12. Dehnert J, van der Aalst WM (2004) Bridging the gap between business models and workflow specifications. International Journal of Cooperative Information Systems 13(3): 289-332
13. Dejaeger K, Hamers B, Poelmans J, Baesens B (2010) A novel approach to the evaluation and improvement of data quality in the financial sector. In: Proc international conference on information quality, Cambridge
14. English LP (1999) Improving data warehouse and business information quality: methods for reducing costs and increasing profits. Wiley, New York
15. Figl K, Laue R (2011) Cognitive complexity in business process modeling. In: Mouratidis H, Rolland C (eds) Advanced information systems engineering. Springer, Heidelberg, pp 452-466
16. Forrester Research (2011) Trends in data quality and business process alignment. http://www.enterpriseiq.com.au/documents/whitepapers/Trends-in-Data- Quality- and-Business-Process-Alignment.pdf. Accessed 2013-03-25
17. Gaynor M, Shankaranarayanan G (2008) Implications of sensors and sensor-networks for data quality management. International Journal of Information Quality 2(1): 75-93
18. Glowalla P, Balazy P, Basten D, Sunyaev A (2014) Process-driven data quality management - an application of the combined conceptual life cycle model. In: Proc 47th Hawaii international conference on system sciences, Hawaii
19. Glowalla P, Sunyaev A (2012) A process management perspective on future ERP system development in the financial service sector. AIS Transactions on Enterprise Systems 3(1): 18-27
20. Glowalla P, Sunyaev A (2013) Managing data quality with ERP systems - insights from the insurance sector. In: Proc European conference on information systems, Utrecht
21. Gruhn V, Laue R (2006) Complexity metrics for business process models. In: Proc 9th international conference on business information systems, Klagenfurt
22. Gruhn V, Laue R (2009) Reducing the cognitive complexity of business process models. In: Proc 8th IEEE international conference on cognitive informatics, Los Alamitos, pp 339-345
23. Guceglioglu AS, Demirors O (2005) Using software quality characteristics to measure business process quality. In: Aalst W, Benatallah B, Casati F, Curbera F (eds) Business process management. Springer, Heidelberg, pp 374-379
24. Hakim LA (2008) Modelling information flow for surgery management process. International Journal of Information Quality 2(1): 60-74
25. Harkness WL, Segars AH, Kettinger WJ (1996) Sustaining process improvement and innovation in the information services function: lessons learned at the Bose Corporation. MIS Quarterly 20(3): 349-368
26. Haug A, Zachariassen F, van Liempd D (2011) The costs of poor data quality. Journal of Industrial Engineering and Management 4(2): 168-193
27. Helfert M, von Maur E (2001) A strategy for managing data quality in data warehouse systems. In: Proc conference on information quality, Cambridge
28. Ishikawa K (1993) Guide to quality control. Asian Productivity Organization, Tokyo
29. Kahn BK, Katz-Haas R, Strong DM (2001) Organizational realism meets information quality idealism: the challenges of keeping an information quality initiative going. In: Proc conference on information quality, Cambridge
30. Katz-Haas R, Lee YW (2002) Understanding hidden interdependencies between information and organizational processes in practice. In: Proc international conference on information quality, Cambridge
31. Keenan SL, Simmons T (2005) CSDQ: a usercentered approach to improving the quality of customer support data. In: Proc international conference on information quality, Cambridge
32. Klesse M, Herrmann C, Maier D, Mügeli T, Brändli P (2004) Customer investigation process at Credit Suisse: meeting the rising demand of regulators. In: Proc international conference on information quality, Cambridge
33. Knight S (2011) The combined conceptual life-cycle model of information quality. Part 1. An investigative framework. International Journal of Information Quality 2(3): 205-230
34. Ko RK, Lee SS, Lee EW (2009) Business process management (BPM) standards: a survey. Business Process Management Journal 15(5): 744-791
35. Kovac R, Lee YW, Pipino L (1997) Total data quality management: the case of IRI. In: Proc conference on information quality, Cambridge
36. Kovac R, Weickert C (2002) Starting with quality: using TDQM in a start-up organization. In: Proc international conference on information quality, Cambridge
37. Kurzlechner W (2011) Die Top-10-Listen der IT-Trends 2012. http://www.cio.de/strategien/2298020/. Accessed 2012-02-07
38. La Rosa M, ter Hofstede AH, Wohed P, Reijers HA, Mendling J, van der Aalst WM (2011a) Managing process model complexity via concrete syntax modifications. IEEE Transactions on Industrial Informatics 7(2): 255-265
39. La Rosa M, Wohed P, Mendling J, ter Hofstede AH, Reijers HA, van der Aalst WM (2011b) Managing process model complexity via abstract syntax modifications. IEEE Transactions on Industrial Informatics 7(4): 614-629
40. Laue R, Gruhn V (2007) Approaches for business process model complexity metrics. In: Abramowicz W, Mayr HC (eds) Technologies for business information systems. Springer, Dordrecht, pp 13-24
41. Laue R, Mendling J (2010) Structuredness and its significance for correctness of process models. Information Systems and e- Business Management 8(3): 287-307
42. Laumann M, Rosenkranz C (2008) Analysing information flows for controlling activities within supply chains: an Arvato (Bertelsmann) business case. In: Proc European conference on information systems (ECIS), Galway
43. Lee YW, Chase S, Fisher J, Leinung A, McDowell D, Paradiso M, Simons J, Yarsawich C (2007) CEIP maps: context-embedded information product maps. In: Proc Americas conference on information systems (AMCIS), Cambridge
44. Lee YW, Strong DM (2003) Knowing-why about data processes and data quality. Journal of Management Information Systems 20(3): 13-39
45. Lee YW (2006) Journey to data quality. MIT Press, Cambridge
46. Lindland OI, Sindre G, Solvberg A (1994) Understanding quality in conceptual modeling. IEEE Software 11(2): 42-49
47. Loshin D (2001) Enterprise knowledge management. The data quality approach. Morgan Kaufmann, San Diego
48. Madnick SE, Wang RY, Lee YW, Zhu H (2009) Overview and framework for data and information quality research. Journal of Data and Information Quality 1(1): 1-22
49. Mendling J (2008) Metrics for processmodels. Empirical foundations of verification, error prediction, and guidelines for correctness. Springer, Heidelberg
50. Mendling J, Neumann G, van der Aalst WM (2007) Understanding the occurrence of errors in process models based on metrics. In: Proc OTM conference on cooperative information systems, Vilamoura, pp 113-130
51. Mendling J, Reijers HA, van der Aalst WMP (2010) Seven process modeling guidelines (7PMG). Journal of Information and Software Technology 52(2): 127-136
52. Mendling J, Strembeck M (2008) Influence factors of understanding business process models. In: Abramowicz W, Fensel D (eds) LNBIP LNCS. Springer, Heidelberg, pp 142-153
53. Meyer MH, Zack MH (1996) The design and development of information products. Sloan Management Review 37(3): 43-59
54. Mielke M (2005) IQ principles in software development. In: Proc international conference on information quality, Cambridge
55. Millard FH, Lavoie M (2000) Developing data product maps for total data quality management: the case of Georgia Vital Records. In: Proc conference on information quality, Cambridge
56. Moody D (2009) The "physics" of notations: toward a scientific basis for constructing visual notations in software engineering. IEEE Transactions on Software Engineering 35(6): 756-779
57. Ofner MH, Otto B, Österle H (2012) Integrating a data quality perspective into business process management. Business Process Management Journal 18(6): 1036-1067
58. Otto B (2011) Data governance. Bus Inf Syst Eng 3(4): 241-244
59. Overhage S, Birkmeier D, Schlauderer S (2012) Quality marks, metrics, and measurement procedures for business process models: the 3QM-framework. Bus Inf Syst Eng 4(5): 229-246
60. Recker J (2010) Continued use of process modeling grammars: the impact of individual difference factors. European Journal of Information Systems 19(1): 76-92
61. Recker J, Indulska M, Rosemann M, Green P (2010) The ontological deficiencies of process modeling in practice. European Journal of Information Systems 19(5): 501-525
62. Recker JC, Rosemann M, Indulska M, Green P (2009) Business process modeling - a comparative analysis. Journal of the Association for Information Systems 10(4): 333-363
63. Redman TC (2004) Data: an unfolding quality disaster. DM Review 14(8): 21-23
64. Reijers HA, Mendling J (2011) A study into the factors that influence the understandability of business process models. IEEE Transactions on Systems, Man, and Cybernetics, Part A 41(3): 449-462
65. Rosemann M (2006) Potential pitfalls of process modeling: part a. Business Process Management Journal 12(2): 249-254
66. Rosemann M, Green P, Indulska M, Recker JC (2009) Using ontology for the representational analysis of process modelling techniques. International Journal of Business Process Integration and Management 4(4): 251-265
67. Rosemann M, Recker JC, Flender C (2008) Contextualisation of business processes. International Journal of Business Process Integration and Management 3(1): 47-60
68. Shankaranarayanan G, Cai Y (2006) Supporting data quality management in decision-making. Decision Support Systems 42(1): 302-317
69. Shankaranarayanan G, Wang R (2007) IPMAP research status and direction. In: Proc international conference on information quality, Cambridge
70. Shankaranarayanan G, Wang RY, Ziad M (2000) IP-MAP: representing the manufacture of an information product. In: Proc conference on information quality, Cambridge
71. Shankaranarayanan G, Ziad M, Wang RY (2003) Managing data quality in dynamic decision environments: an information product approach. Journal of Database Management 14(4): 14-32
72. Thi TTP, Helfert M (2007) Modelling information manufacturing systems. International Journal of Information Quality 1(1): 5-21
73. Uba R, Dumas M, García-Bañuelos L, Rosa M (2011) Clone detection in repositories of business processmodels. In: Rinderle-Ma S, Toumani F, Wolf K (eds) Business process management. Springer, Heidelberg
74. Vanderfeesten I, Reijers HA, Mendling J, Aalst WM, Cardoso J (2008) On a quest for good process models: the cross-connectivity metric. In: Proc 20th international conference on advanced information systems engineering, Montpellier, pp 480-494
75. Vanhatalo J, Völzer H, Koehler J (2009) The refined process structure tree. In: Sixth international conference on business process management - five selected and extended papers. Data & Knowledge Engineering, vol 68(9), pp 793-818
76. Wand Y, Weber R (1993) On the ontological expressiveness of information systems analysis and design grammars. Information Systems Journal 3(4): 217-237
77. Wand Y, Weber R (1995) On the deep structure of information systems. Information Systems Journal 5(3): 203-223
78. Wang RY (1998) A product perspective on total data quality management. Communications of the ACM 41(2): 58-65
79. Wang RY, Allen TJ, Harris W, Madnick S (2002) An information product approach for total information awareness. MIT Sloan working paper no 4407-02; CISL no 2002-15
80. Weber B, Reichert M, Mendling J, Reijers HA (2011) Refactoring large process model repositories. Computers in Industry 62(5): 467-486
81. Webster J, Watson RT (2002) Analyzing the past to prepare for the future: writing a literature review. MIS Quarterly 26(2):xiii-xxiii
82. Xie S, Helfert M (2010) Assessing information quality deficiencies in emergency medical service performance. In: Proc international conference on information quality, Cambridge
83. Zack MH (1996) Electronic publishing: a product architecture perspective. Information & Management 31(2): 75-86