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Strategy Selection to Enhance Customer Data Quality using AHP: Case Study of General Insurance Company (PT XYZ)
https://doi.org/10.22146/ijccs.99263 Adinda Rizkita Syafira(1*), Achmad Nizar Hidayanto(2), Widijanto Satyo Nugroho(3), Rahmat Mustafa Samik-Ibrahim(4)
(1) Universitas Indonesia
(2) Universitas Indonesia
(3) Universitas Indonesia
(4) Universitas Indonesia
(*) Corresponding Author
Abstract
This study examines strategies to enhance customer data quality at PT XYZ, a general insurance company, which is crucial for strategic decision-making and revenue growth. The importance of this topic lies in its potential to significantly improve operational efficiency and customer satisfaction. The Analytical Hierarchy Process (AHP) is utilized to select the optimal strategy from available alternatives. The research begins by establishing criteria and identifying alternative strategies to improve customer data quality. Expert evaluations are conducted based on four criteria: cost, time, security, and availability. Four experts are involved, chosen for their expertise in technology and organizational impact. The experts include a Senior IT Business Intelligence, a Data Analyst, a Unit Head of IT Infrastructure & Security Department, and a Division Head of Digital. The findings highlight that the strategy of Strengthening Collaboration Across Departments, with a value of 0.455, is the most effective. This strategy emphasizes interdepartmental cooperation to enhance data quality. The results underscore the long-term benefits of improved operational efficiency and customer satisfaction despite initial investment challenges, demonstrating the practical application of AHP in organizational settings.
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Gartner. (2022). Magic Quadrant for Data Quality Tools. Gartner Inc. https://atlan.com/gartner-magic-quadrant-for-data-quality/.
Lawson, J. G., & Street, D. A. (2021). “Detecting dirty data using SQL: Rigorous house insurance case”. Journal of Accounting Education, Vol 55, Jun 2021 [Online]. Avaliable : https://www.sciencedirect.com/science/article/abs/pii/S0748575121000014?via%3Dihub . Doi : https://doi.org/10.1016/j.jaccedu.2021.100714.
Camilleri, M. (2019). “ The use of data-driven technologies for customer-centric marketing.” SSRN Electronic Journal, Vol 1, No 1 2020 [Online]. Avaliable : https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3382746 . Doi : https://doi.org/10.2139/ssrn.3382746.
Antonella Cappiello,PhD. “The Technological Disruption Of Insurance Industry : A Review, Internasional Journal Of Businees and Social Science, Vol 11, No 1, Jan 2020 [Online]. Available : https://ijbssnet.com/journal/index/437 . Doi : https://doi.org/10.30845/ijbss.v11n1p1.
Mutniah As Saidah “The Implementation of Analytic Hierarky Process (AHP) in Software Quality Design Decision-Making”. Jurnal Bangkit Indonesia, Vol 13, No 1, March 2024 [Online]. Available : https://journal.sttindonesia.ac.id/index.php/bangkitindonesia/article/view/268 . Doi : https://doi.org/10.52771/bangkitindonesia.v13i1.268.
Heru Purwanto, “Implementation of Analytical Hierarchy Process (AHP) Method In Determining Expedition Services at the Market Place” . Jurnal Sistem Informasi dan Ilmu Komputer Prima, Vol 6 , No 1, Agust 2022 [Online]. Avaliable : https://jurnal.unprimdn.ac.id/index.php/JUSIKOM/article/view/2744 . Doi : https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2744.
Lidya Iriani Thabita Tiblola, Analysis of supplier selection criteria using fuzzy analitycal hierarchy process by contractors in Yogyakarta’’. Jurnal Pendidikan Teknologi dan Kejuruan, Vol 30, No 1, 2024 [Online]. Avaliable : https://journal.uny.ac.id/index.php/jptk/article/view/68323 . Doi : https://doi.org/10.21831/jptk.v30i1.68323.
Imelda Aritonang Dohara. “ Framework for prioritizing solutions in overcoming data quality problems using analytic hierarchy process (AHP)”. Journal of Information Technology Management, Vol 10, Issue 4, Page 27-40, Jan 2019 [Online]. Avaliable : https://jitm.ut.ac.ir/article_72759.html Doi : https://doi.org/10.22059/JITM.2019.274888.2333.
Abu Ghazaleh, M., & Zabadi, A. M. “Promoting a revamped CRM through Internet of Things and Big Data: an AHP-based Evaluation”. International journal of organizational analysis, Vol 28, No 1, Hal 66-91, Jan 2020 [Online]. Avaliable : https://www.emerald.com/insight/content/doi/10.1108/IJOA-12-2018-1602/full/html Doi : https://doi.org/10.1108/IJOA-12-2018-1602.
Rafi, S., Yu, W., Akbar, M. A., Alsanad, A., & Gumaei, A. “Multicriteria based decision making of DevOps data quality assessment challenges using fuzzy TOPSIS” IEEE Access,Vol 8, Page 46958-46980, Feb 2020 [Online]. Avaliable : https://ieeexplore.ieee.org/document/9015992 . Doi : https://doi.org/10.1109/ACCESS.2020.2976803.
Shi, Q., Wang, H., & Lu, H. “Research and Application of AHP-EWM-based Comprehensive Evaluation of Data Quality”. In Proceedings of the 4th International Conference on Computer Science and Application Engineering. No 152, Page 1-5, Oct 2020 [Online]. Avaliable : https://dl.acm.org/doi/10.1145/3424978.3425137 . Doi : https://doi.org/10.1145/3424978.3425137 .
Cristian Eckert. “Managing customer satisfaction: digital applications for insurance companies’’. The Geneva Papers on Risk and Insurance, Vol 47, Pages 569-602, Feb 2022 [Online]. Avaliable : https://link.springer.com/article/10.1057/s41288-021-00257-z . Doi : https://doi.org/10.1057/s41288-021-00257-z.
Kathrine N, Lemon. “ Understanding Customer Experience Throughout the Customer Journey ‘’. Journal Of Marketing, Vol 80, Issue 6, Feb 2022 [Online]. Avaliable : https://journals.sagepub.com/doi/10.1509/jm.15.0420. Doi : https://doi.org/10.1509/jm.15.0420.
Nur aini Alhamda “Vendor Selection Analysis Based and AHP to Enchane Service Quality and Consumber Satisfaction at PT XYZ”. Journal of Logistics and Supply Chain Management Vol 2, no 2, Oct 2022 [Online]. Available: https://ejournal.upi.edu/index.php/JLSC/article/view/62838 . https://doi.org/10.17509/jlsc.v2i2.
Rina Rahmawati, “Strategies to Improve Data Quality Management Using Total Data Quality Management (TDQM) and Data Management Body of Knowledge (DMBOK): A Case Study of M-Passport Application”. CommIT ( Communication and Information Technology ) Journal, Vol 17, Issue 1, 2023 Pages 27-42 [Online]. Available: https://journal.binus.ac.id/index.php/commit/article/view/8330. DOI : https://doi.org/10.21512/commit.v17i1.8330.
Nitin Liladhar Rane “Enhancing Costomer Loyalty Through Quality of Service : Effective Strategies To Improve Custumer Costumer Satisfaction, Experience, Relationship, And Engagement” . IRJMETS ( International Research Journal Of Modernization In Engineering Technology And Science ), Vol 05/Issue:05/May-2023. Avaliable : https://www.irjmets.com/uploadedfiles/paper//issue_5_may_2023/38104/final/fin_irjmets1683361939.pdf , DOI: https://www.doi.org/10.56726/IRJMETS38104.
Nur aini Alhamda “Data quality in customer relationship management (CRM): Literature review ”. Strategic Management Vol 25, no 2, Page 40 February 2020 [Online]. Available: https://scindeks.ceon.rs/issue.aspx?issue=15131 . DOI : 10.5937/StraMan2002040P.
R. Hendra Kusumawardhana “Indefying Critical Succes Factors (CSF) in ERP Implementation Using AHP: A Case Study of a Social Insurance Company in Indonesia”. Journal of Cases on Information Technologu Vol 26, Issue 1, Page 20, 2024 [Online]. Available: https://www.igi-global.com/gateway/article/337389 . DOI: 10.5937/StraMan2002040P.
Ferry Agusman Motuho Mendrofa,Sri Rusmini, Umi Hani, Sutrisno. “The Framework In Risk Management Process : Lesson Learned From Hospital During Pademic “. Indonesian Journal of Global Health Research, Vol 4, No 3 , Agust 2022 [Online]. Avaliable : http://jurnal.globalhealthsciencegroup.com/index.php/IJGHR/issue/view/50. Doi : https://doi.org/10.37287/ijghr.v4i3.1220.
Ding, D., & Zhao, Z. “The Design of University Staff Data Management System Based on MBSE”. In 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), Page 1921-1925 [Online]. Available : https://ieeexplore.ieee.org/document/9248413. Doi : https://doi.org/0.1109/ICIEA48937.2020.9248413.
DOI: https://doi.org/10.22146/ijccs.99263
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