An assessment of Process Warehousing Approaches for Business Process Analysis Khurram Shahzad, Paul Johannesson
Office of Laptop and Systems Science (DSV), Royal Start of Technology (KTH)/ Stockholm University (SU), Stockholm, Sweden. mks,pajo @dsv. su. ze
Abstract. Performance of a method model creates data that can be used for analysis and marketing of organization processes. For many years, data warehouse (DW) technology has been utilized for analysis and decision making. A data warehouse produced for business procedures is called a process warehouse. The capabilities of any process factory are rarely evaluated, as a generic framework which can be used for the evaluation is definitely missing. Consequently , in this daily news, we build a generic construction called Method Analysis Construction (PAF) that can be used for considering analysis capacities of a process warehouse. Furthermore, the framework has been utilized to evaluate different process warehousing approaches, collected through a complete survey. Keywords: Business process management, Business process monitoring, Business method analysis, Method warehouse.
one particular Introduction
Procedure analysis can be described as feedback phase of organization process administration in which researching of method execution occurs. Interest for business process evaluation is elevating in order to monitor, evaluate and optimize business processes [1, 2]. The data gathered during procedure execution can be used for process analysis . Procedure analysis can easily: effectively increase efficiency, lessen cost and increase the productivity of procedure execution [1, 3]. This is made by optimizing methods, activities and actors . For more than a decade, data warehouse (DW) technology has become used by companies for research and decision support reasons. DW gives the deductive data built-in from several sources in multi dimensional form in order to support analyses not only by different perspectives but as well at diverse levels of granularity . For some years, data stockroom technology has become proposed being used for business process examination [7, 8], known as process warehouse . Also, some studies [8, 9, 10, 11] have been conducted on designing info warehouses for people who do buiness processes. With this paper, both the terms process warehouse and data stockroom for procedures are used additionally.
Proceedings of EOMAS 2009 To the most of our expertise, no research has been executed to evaluate the capabilities of any process storage place. There are some studies (like [8, on the lookout for, 12]) that partially includes some kind of analysis, but an extensive evaluation of the capabilities of process warehouse is still missing. This is due to the fact that a universal framework which you can use for examination of process warehouse is usually missing. The purpose of this examine is to examine capabilities of process storage approaches. However , no generic framework can be bought that can be used for this specific purpose. Therefore , in the beginning we create a вЂProcess Research Framework' (PAF) and then put it to use for the evaluation of 11 process storage approaches that were selected through a comprehensive study. The structure is based on the straightforward logic that if techniques are patterned from 4 perspectives  they should end up being analyzed from these 4 perspectives. These are functional, behavioral, organizational and informational viewpoints. However , quite aspects about goals and design challenges are not covered in these 4 perspectives. Therefore , PAF can be extended simply by including those two perspectives, goals and building challenges. The contributions of this study are: a) a framework intended for the analysis of method warehouse, b) identification of major method warehousing approaches, c) a comprehensive evaluation of process warehousing approaches and d) id of deficiencies of process warehousing techniques. The rest of the paper is organized as follows. Section 2 presents the Process Evaluation Framework. Section 3 contains a...
Recommendations: 1 . Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M. C.: Business Method Intelligence. Pc in Industry 53(3), 321 - 343 (2004). 2 . Grigori, G., Casati, F., Castellanos, M., Dayal, U., Sayal, Meters., Shan, M. C.: Enhancing Business Procedure Quality through Exception Understanding, Prediction, and Prevention. In: Proceedings in the 27th Foreign Conference about Very Large Data Bases (VLDB'01), Rome, pp. 159-168 (2001). 3. Aalst, W. Meters. P., Dongen, B. F., Gunther, C. W., Guys, R. T., Medeiros, A. K., Rozinat, A., Rubin, V., Music, M., Verbeek, H. Meters. W., Weijters, A. T. M. Meters.: ProM 4. 0: Thorough Support to get Real Procedure Analysis, Proceedings 28th International Conference in Applications & Theory of Petri-Nets and also other Models of Concurrency (ICATPN'07), in Springer LNCS (4546), pp. 484 -- 494 (2007). 4. Junginger, S., Kabel, E.: Business Process Research. In: eBusiness in Health-related, Springer Greater london, pp. 57-77 (2007). five. Kimball, 3rd there’s r.: The Data Stockroom Toolkit: Practical Techniques for Building Dimensional Data Warehouses, John and Wiley & Kids, Inc. (1996). 6. Jarke, M., List, T., Koller, J.: The process of Process Data Warehousing. In: Proceedings of the twenty sixth International Seminar on Huge Data Angles (VLDB'00), Cairo, pp. 473 - 483 (2000). six. Bonifati, A., Casati, Farreneheit., Dayal, U., Shan, M. C.: Warehousing Workflow Data: Challenges and Opportunities. In: Proceedings with the 27th Intercontinental Conference upon Very Large Info Bases (VLDB'01), Roma, pp. 649 вЂ“ 652 (2001).
Proceedings of EOMAS 2009
8. Mansmann, S., Neumuth, T., Scholl, M. L.: Multidimensional info modeling for people who do buiness process evaluation. In: Actions of 26th International Seminar on the Organization Relationship Approach (ER'07), Springer LNCS (4801) pp. 23-38 (2007). being unfaithful. Eder, J., Olivotto, G. E., Gruber. W.: An information warehouse for workflow wood logs. In: Actions of the very first International Conference on Executive & Deployment of Supportive Information Systems, Springer LNCS (2480) pp. 1-15 (2002). 10. Giorgini, P., Rizzi, S., Garzetti. M.: Goal-oriented requirement analysis for info warehouse design and style. In: Actions of eighth ACM Foreign Workshop on Data warehousing and OLAP (DOLAP'05) pp. 47-56 (2005). 11. Niedrite, L., Solodovnikova, D.: Goal-Driven Design of a data warehouse structured business procedure analysis program. In: Procedures of the 6th WSEAS Intercontinental Conference about Artificial Intellect, Knowledge Executive and Databases, (6), pp. 243-249 (2007). 12. Neumuth, T., Mansmann, S., Scholl, M. L., Burgert. O.: Data warehouse technology pertaining to surgical work analysis. twenty-first IEEE Worldwide Symposium about Computer-based Medical Systems, pp. 230-235 (2008). 13. Curtis, B., Cellarius (fruhes mittelalter), M. I actually., Over, T.: Process Modeling. Communications of ACM thirty five (9) pp. 75-90 (1992). 14. List, B., Korherr, B.:. An assessment of conceptual business procedure modelling 'languages', In: Process of ACM Symposium in Applied Computer (SAC'06), Dijon, pp. 15321539 (2006). 15. Soffer, G., Wand, Sumado a.: On the idea of soft-goals in business method modeling, Business Process Administration Journal 11(6), pp. 663-679 (2005). 18. Soffer, P., Wand. Con.: Goal-driven evaluation of procedure model quality, In: Process of the Intercontinental Conference in Advanced Info Systems Executive (CAiSE'04), Springer LNCS (3084), pp. 521-535. 17. Casati, F., Castellanos, M., Dayal, U., Salazar, N.: A generic data warehousing business process data. Proceedings of Proceedings from the 33rd Intercontinental Conference on Very Large Sources (VLDB'07), pp. 1128-1137 (2007). 18. Muehlen, M.: Process-driven management info systems-combining info warehouses and workflow technology. In: Process of the next International Meeting on Digital Commerce Study (ICECR'01), pp. 550-566 (2001). 19. Lechtenbrger, J., Vossen. G.: Multidimensional normal varieties for info warehouse design. Information Devices, 28(5) pp. 415-434 (2003). 20. Golfarelli, M., Maio, D., Rizzi, Stefano.: The dimensional fact model: a conceptual model for info warehouses. Worldwide Journal of Cooperative Information Systems, six (2) pp. 215-247 (1998),. 21. DWQ project http://www.dbnet.ece.ntua.gr/~dwq/ last accessed on 03 2009. twenty-two. Bulos, M.: OLAP Databases Design: A brand new Dimension, in: Database Programming & Design, (1996). 3. Kueng, S., Wettstein, Big t., List, M.: A holistic procedure performance examination through a functionality data stockroom. 7th Unites states conference on information devices (AMCIS'01), pp. 349-356 (2001). 24. Schiefer, J., List, B., Bruckner, R. M.: Process info store: A real-time info store pertaining to monitoring organization processes. In: Proceedings of Database and Expert Systems Applications (DEXA'03), Springer LNCS (2736), pp. 760-770 (2003). 25. Bohnlein, M., Ende. A. U.: Business Method Oriented development of data warehouse structures. In: Jung. R., Winter. 3rd there’s r. (Eds. ): Proceedings of information Warehousing, Springer Physica, pp. 3-21 (2000). 26. Ferstl, O. K., Sinz, E. J.: Multi-layered development of business process versions and allocated business app systems вЂ“ an object-oriented approach. In: Konig, Watts. K., Mertens, P., Pressmar, D. (Eds. ): Springer-Distributed information systems in business, pp. 159-179 (1996).
Proceedings of EOMAS 2009
27. Pau, K. C., Si, Y. W., Dumas, M.: Info warehouse version for audit trial analysis in work flow. In: Proceedings of IEEE International Seminar on elektronische geschaftsabwicklung Engineering (ICEBE'07), (2007). twenty-eight. Park, R. E., Goethert, W. W., Florac., Watts. A.: Goal-driven software dimension вЂ“ a guidebook. Specialized report, CMU/SEI-96-HB-002, Carnegie Mellon University (1996).