Teguh Raharjo
ABSTRACT
Master Data has been becoming importance for the business world. It is being driven by some factors including improving the business process and decision making. Master Data Management solutions can provide business value if they implemented properly. According to the Gartner research, the implementation of MDM project are still having challenges and failure. This study aims to solve organizational problems in the implementation of MDM by presenting critical success factors (CSF) to overcome these problems. Qualitative and quantitative research methods were used in this study. The qualitative process is to get confirmation from experts for CSF based on literature studies, while the quantitative research is to make examples of AHP calculations that can be used to rank CSFs. To the best of our knowledge, there has been no research discussing CSF in MDM projects using AHP, and this can be considered the novelty of the research. Research contributions related to academic fields can provide additional literature for CSFs in MDM projects, while in practice they can provide guidance for organizations to determine strategies for implementing MDM projects based on CSFs.
- J. Shah, M. Manathara, and A. Hoeppe, Process-Driven Master Data Management, Get Smart about Master Data Management (John Willey & Sons, New Jersey, 2012)Google Scholar
- A. Berson and L. Dubov, Introduction to Master Data Management and Customer Data Integration for a Global Enterprise (Mc Graw Hill, United States, 2007)Google Scholar
- Veritas, IT decision makers reveal their challenges and successes in unlocking the value of data, Veritas.com, 2022Google Scholar
- Gartner, Top Four Reasons Your MDM Program Will Fail, and How to Avoid Them, https://www.gartner.com/en/documents/1820114, 2011Google Scholar
- T.K.Das, and M.R. Misha, “A Study on Challenges and Opportunities in Master Data Management”, International Journal of Database Management Systems, 2011.Google ScholarCross Ref
- D. Loshin, Master Data Management (Morgan Kaufmann Press, Burlington, 2009)Google Scholar
- R. Heikkinen, and S. Pekkola, “Changes in roles, responsibilities and ownership in organzing master data management”, International Journal of Information Management, 2019Google Scholar
- F. Haneem, N. Kama, and N.A. A. Bakar, “Determinants of master data management adoption by local government organizations: An empirical study, International Journal of Information Management, 2018.Google Scholar
- DAMA International, Data Management Body of Knowledge (Technics Publications, New Jersey, 2015)Google Scholar
- J.R. Talburt and Y. Zhou, Entitiy Information Life Cycle for Big Data, Master Data Management and Information Integration, (Morgan Kaufmann Press, Burlington, 2015)Google Scholar
- Milosevic, D., and Patanakul, P. 2005. Standardized project management may increase development projects success. Int. J. Proj. Manag. 23, 3 (2005), 181–192. DOI=https/doi.org/10.1016/j.ijproman.2004.11.002Google ScholarCross Ref
- Fayaz, A., Kamal, Y., ul Amin, S., and Khan, S. 2017. Critical success factors in information technology projects. Manag. Sci. Lett. 7, 2 (2017), 73–80. DOI=https/doi.org/10.5267/j.msl.2016.11.012Google ScholarCross Ref
- M. Godinez, E. Hechler, K. Koenig, and M. Schroeck, Enterprise Information Architecture, A Systems-Based Approach for Unlocking Business Insight, IBM Press, Boston, 2010Google Scholar
- D. Cervo and M. Allen, Master Data Management in Practice, Achieving True Customer MDM, (John Willey and Sons, Inc, Hoboken, New Jersey, 2011)Google ScholarCross Ref
- M. Allen and D. Cervo, Multi-Domain Master Data Management, Advanced MDM and Data Governance in Practice, Elsevier, 2011Google Scholar
- P. Bonnet, Enterprise Data Governance, Reference and Master Data Management, Semantic Modeling, John Willey and Sons, Inc, Hoboken, USA, 2010Google Scholar
- Saaty, T.L., & Vargas, L.G., Models, Methods, Concepts & Applications of the Analytic Hierarchy Process Second Edition, Springer, 2012.Google Scholar
- T. Raharjo and B. Purwandary, “Critical success factors for project management office: An insight from Indonesia”, Third International Conference on Informatics and Computing (ICIC), 2018Google ScholarCross Ref
- L.A. Gumay, B. Purwandi, T. Raharjo, A. Wahyudi, and M. Purwaningsih, Identifying Critical Success Factors for Information Technology Projects with an Analytic Hierarchy Prosess: A Case of A Telco Company in Indonesia, Asia Pacific Information Technology Conference, 2020.Google Scholar
- Riskiana, R., Purwandari, B., Satria, R., and Solichah, I. 2017. The use of analytic hierarchy process to rank factors of software failures: A case study of a telecommunication company in Indonesia. Int. Conf. Inf. Technol. Syst. Innov. (2017), 1–6.Google Scholar
- Guntur, M., Purwandari, B., Raharjo, T., Solichah, I., and Kumaralalita, L. 2018. Critical success factors for information systems development: A case study in e-government. In ACM International Conference Proceeding Series. DOI=https/doi.org/10.1145/3278252.3278288Google ScholarDigital Library
- Joslin, R. and Müller, R. 2016. The impact of project methodologies on project success in different project environments. Int J Manag Proj Bus 9, 2 (2016), 364–388. DOI=https/doi.org/10.1108/IJMPB-03-2015-0025Google ScholarCross Ref
- Munandar, T.A. and Azhari, S. 2014. Comparative Study Of Decision Making Techniques For Multi-Attribute Decision Making Problems. Int J Adv Res Comput Sci 5, 5 (2014), 122–127.Google Scholar
- Kwiesielewicz, M. and van Uden, E. 2004. Inconsistent and contradictory judgements in pairwise comparison method in the AHP. Comput Oper Res 31, 5 (2004), 713–719. DOI=https/doi.org/10.1016/S0305-0548(03)00022-4Google ScholarDigital Library
- Goepel, K. 2018. Implementation of an online software tool for the analytic hierarchy process (AHP-OS). Int. J. Anal. Hierarchy Process 10, 3 (2018), 469–487. DOI=https/doi.org/10.13Google Scholar
Index Terms
- A Model of Critical Success Factors for Master Data Management Development Projects using Analytic Hierarchy Process (AHP): An Insight from Indonesia
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