Integrating BI Information into ERP Processes - Describing Enablers

Richard Russman, Lisa F. Seymour, Jean-Paul van Belle

Abstract

Business Intelligence (BI) systems typically report on transactions executed in enterprise information systems such as Enterprise Resource Planning (ERP) systems. Reporting is normally at managerial or executive level, yet substantial benefits can accrue to organizations that successfully integrate BI information back into ERP processing at an operational level. How this integration is enabled is not well understood or researched. In this paper, a multiple case study considering three organizations, factors enabling this integration are described and a process framework is presented indicating the importance of these enablers and the sequence in which these factors need to be considered. New factors not initially considered in the literature emerged such as including big data, using in memory BI and using the same vendor for ERP and BI. However, unless integrating BI into ERP processing is appropriate for an organization, benefits will not necessarily accrue.

References

  1. Azvine, B., Cui, Z., Nauck, D., Majeed, B. 2006. Real time business intelligence for the adaptive enterprise. E-Commerce Technology, 2006. The 8th IEEE International Conference on and Enterprise Computing, ECommerce, and E-Services, pp. 29-29.
  2. Baars, H., Felden, C., Gluchowski, P., Hilbert, A., Kemper, H. G., Olbrich, S. 2014. Shaping the next incarnation of business intelligence. Business & Information Systems Engineering, 6(1), 11-16.
  3. Bogdana, P. I., Felicia, A., Delia, B. 2009. The role of business intelligence in business performance management. Annals of Faculty of Economics, 4(1), pp. 1025-1029.
  4. Bucher, T., Gericke, A., Sigg, S. 2009. Process-centric business intelligence. Business Process Management Journal, 15(3), pp. 408-429.
  5. Chou, D. C., Bindu Tripuramallu, H., Chou, A. Y. 2005. BI and ERP integration. Information Management & Computer Security, 13(5), pp. 340-349.
  6. Fereday, J., Muir-Cochrane, E. 2008. Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International Journal of Qualitative Methods, 5(1), pp. 80-92.
  7. Gile, K., Teubner, C., Moore, C., Fossner, L. 2006. Business intelligence meets BPM in the information workplace. Forrester Research, Cambridge,
  8. Golfarelli, M., Rizzi, S., Cella, I. 2004. Beyond data warehousing: What's next in business intelligence? Proceedings of the 7th ACM International Workshop on Data Warehousing and OLAP, pp. 1-6.
  9. Hwang, Y., Grant, D. 2011. Understanding the influence of integration on ERP performance. Information Technology and Management, 12(3), pp. 229-240.
  10. Isik, Ö, Jones, M. C., Sidorova, A. 2013. Business intelligence success: The roles of BI capabilities and decision environments. Information & Management, 50(1), pp. 13-23.
  11. Korotina, A., Müller, O., Debortoli, S. 2015. Real-time Business Process Intelligence. Comparison of different architectural approaches using the example of the order-to-cash process. Wirtschaftsinformatik pp. 1710- 1724.
  12. Lupu, A. R., Bologa, R., Sabau, G., Muntean, M. 2007. Influence factors of business intelligence in the context of ERP projects”. NAUN International Journal of Education and Information Technologies, 1(2), pp. 90- 94.
  13. Nofal, M. I., Yusof, Z. M. 2013. Integration of business intelligence and enterprise resource planning within organizations. Procedia Technology, 11, pp. 658-665.
  14. Parikh, A., Haddad, J. 2012. Right-time information for the real-time enterprise. Journal of Financial Services Technology, 3(1), pp. 29-33.
  15. Pentland, B.T., 1999. Building process theory with narrative: From description to explanation. Academy of management Review, 24(4), pp.711-724.
  16. Sahay, B., Ranjan, J. 2008. Real time business intelligence in supply chain analytics. Information Management & Computer Security, 16(1), pp. 28-48.
  17. Tank, D. M. 2015. Enable better and timelier decisionmaking using real-time business intelligence system. International Journal of Information Engineering and Electronic Business (IJIEEB), 7(1), 43.
  18. Uwizeyemungu, S. Raymond, L. 2012. Impact of an ERP system's capabilities upon the realisation of its business value: a resource-based perspective, Information Technology and Management, 13(2), pp. 69-90.
  19. van der Aalst, W., Zhao, J. L., Wang, H. J. 2015. Editorial: Business Process Intelligence: Connecting Data and Processes. ACM Transactions on Management Information Systems (TMIS), 5(4), 18e.
  20. vom Brocke, J., Rosemann, M. 2014. Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture. Springer.
  21. Walsham, G. 2006. Doing interpretive research. European Journal of Information Systems, 15, pp. 320- 330.
  22. White, C. 2005. The next generation of business intelligence: Operational BI. DM Review Magazine.
  23. Yin, R. K. 2012. A (very) brief refresher on the case study method. Applications of case study research, pp. 3-20. Sage.
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Paper Citation


in Harvard Style

Russman R., Seymour L. and van Belle J. (2017). Integrating BI Information into ERP Processes - Describing Enablers . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 241-248. DOI: 10.5220/0006292302410248


in Bibtex Style

@conference{iceis17,
author={Richard Russman and Lisa F. Seymour and Jean-Paul van Belle},
title={Integrating BI Information into ERP Processes - Describing Enablers},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006292302410248},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Integrating BI Information into ERP Processes - Describing Enablers
SN - 978-989-758-247-9
AU - Russman R.
AU - Seymour L.
AU - van Belle J.
PY - 2017
SP - 241
EP - 248
DO - 10.5220/0006292302410248