Industrial Innovations

Industrial Innovations

Business analysis using data analytics tools (A case study of Energy Industrial Engineering Design Company: EIED)

Document Type : Original Article

Authors
1 Department of Industrial Engineering, Faculty of Engineering, Khwarizmi University, Tehran, Iran.
2 QHSE System Management Department of the Design and Engineering Company in the energy industry
3 Department of Industrial Engineering, Faculty of Engineering, Qom University of Technology, Qom, Iran.
Abstract
For many companies, effective business analytics is not an integral part of their work. However, as the complexity of companies' processes and activities increases, business analytics is a key competency for a company's success. Requirements management is the core competency for the success of a company's project and plan, poor performance occurs when companies do not mature in important business analytics processes and do not recognize the value it provides. Business analysis includes identifying needs, proposing solutions, and extracting, documenting, and managing requirements to deliver the expected benefits. This research examines the needs and expectations of the stakeholders of the Energy Industries Design and Engineering (EIED) Company in one of the company's departments and takes into account the requirements related to the processes related to needs assessment, then by determining the relevant needs and requirements, the process is identified through tools and by collecting the process data and verifying them, the analysis is done based on the data. Process improvement methods are used to measure the effectiveness of the relevant process indicators.
Keywords

[1] Buchanan, L., & O’Connell, A. A brief his‌tory of decision making. Harvard Business Review. 2006; 84(1): 32–41.
[2] Gibson, M., Arnott, D., & Jagielska, I. Evaluating the intangible benefits of business intel‌ligence: Review & research agenda. In Proceedings of the IFIP TC8/WG8.3 International Conference, Toulouse, France. 2004.
[3] Markus, M. L. Toward a theory of knowledge reuse: Types of knowledge reuse situations and factors in reuse success. Journal of Management Information Systems.2001; 18(1): 57–93.
[4] Koskela M, Haajanen J. Business Process Modeling and Execution: Tools and technologies report for SOAMeS project. Espoo: VTT Technical Research Centre of Finland, 2007. 70 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2407).
[5] Minonne, C., & Turner, G. Business process management—are you ready for the future?. Knowledge and Process Management.2012; 19(3): 111-120.‏
[6] OMG, Business process model and notation (BPMN 2.0), formal/2011-01-03, OMG, http://www.omg.org/spec/BPMN/2.0 (May 2011).
[7] Recker J, Mendling J, On the translation between BPMN and BPEL: conceptual mismatch between process modeling Languages, in: Thibaud Latour, Michael Petit (Eds.), Proceedings 18th International Conference on Advanced Information Systems Engineering, Proceedings of Workshops and Doctoral Consortiums, 2006, pp. 521–532.
[8] Krogstie, J., Perspectives to process modeling. In: Business Process Management. ‎Springer: Berlin, Heidelberg. 2013;p. 1-39.‎
[9] Brown, C., Why and how to employ the SIPOC model. Journal of business continuity & ‎emergency planning.  2019; 12(3):p. 198-210.‎
[10] Dakic, D., Stefanovic, D., Cosic, I., Lolic, T., & Medojevic, M. BUSINESS PROCESS ‎MINING APPLICATION: A LITERATURE REVIEW. 2018: Annals of DAAAM & Proceedings.‎
[11] Van Der Aalst, W., & van der Aalst, W., Data science in action. Springer Berlin ‎Heidelberg. 2016‏‎: p. 3-23.‎
[12] What is the Plan-Do-Check-Act (PDCA) cycle? 2019.‎
[13] Arora RK, G.M., e-Governance using data warehousing and data mining. Int J Comput ‎Appl, 2017; 169(8): p. 28–31.‎
[14] Han J, K.M., Pei J, Data mining concepts and techniques, ed. 3rd. 2012, Netherlands: ‎Elsevier.‎ 2012.
[15] Liu, Z., Zhu, Z., Gao, J., & Xu, C., Forecast methods for time series data: a survey. , in ‎Ieee Access. 2021‏‎; IEEE. p. 91896-91912.‎
[16] Han J, K.M., Pei J, Data mining concepts and techniques, ed. 3rd. 2012, Netherlands: Elsevier.‎ 2012.
[17] C. Ouyang, W.M.v.d.A., M. Dumas, A.H.M. ter Hofstede. From business process models ‎to process-oriented software systems: the BPMN to BPEL way. Technical Report ‎BPM-06-27 2006.‎
Volume 2, Issue 2 - Serial Number 6
Spring 2024
Pages 144-160

  • Receive Date 10 September 2024
  • Revise Date 12 October 2024
  • Accept Date 12 October 2024