Methodology for Business Intelligence Solutions in Internet Banking Companies

Alex Escalante Viteri, Javier Gamboa Cruzado, Leonidas Asto Huaman

Abstract


Business intelligence in the banking industry has been studied extensively in the last decade; however, business executives still do not perceive efficiency in the decision-making process since the management and treatment of information are very time-consuming for the deliverer, generating costs in the process. On the other hand, there is no formal methodology for developing business intelligence solutions in this sector. This work aims to optimize decision-making in a business unit that works with internet banking companies, reducing the time, the number of people, and the costs involved in decision-making. To meet the objective, basic and applied research was conducted. The basic research allowed the construction of a new methodology from a study of critical success factors and approaches from the business intelligence literature. The applied research involved the implementation of a business intelligence solution applying the new methodology in a pre-experimental study. Thirty decision-making processes were analyzed using pre-test and post-test data. Tools such as a stopwatch and observation were used to collect and record data on time spent, the number of people, and the decision-making costs. This information was processed in the specialized Minitab18 statistical software, which allowed the observation and confirmation of relevant results regarding time reduction, the number of people, and the costs generated. Therefore, it was concluded that the business intelligence solution, applying the new methodology, optimized decision making in the business unit that works with internet banking for companies.

Keywords


Business intelligence; methodology; methodological approaches; critical success factors; decision making.

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References


L. M. Yusupova, I. A. Kodolova, T. V. Nikonova, M. Agliullina, and Z. Agliullina, "Artificial intelligence and its use in financial markets," Int. J. Financ. Res., vol. 11, no. 5, pp. 353–358, Oct. 2020.

Z. Wang, "Influence of internet finance on commercial bank," presented at the Int. Conf. on Appl. of Intell. Syst. in Multi-modal Inf. Anal., MMIA 2020, Changzhou, China, 2020.

W. Lin, Y. Wang, and Y. Hung, "Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach," PLoS One, vol. 15, no. 2, pp. 1–25, Feb. 2020.

L. M. D. Yiu, A. C. L. Yeung, and A. P. L. Jong, "Business intelligence systems and operational capability: An empirical analysis of high-tech sectors," Ind. Manag. Data Syst., vol. 120, no. 6, pp. 1195–1215, May 4, 2020.

Y. Y. Lim and A. P. Teoh, "Realizing the strategic impact of business intelligence utilization," Strat. Dir., vol. 36, no. 4, pp. 7–9, Mar. 2, 2020.

A. Morisaki, "Digital channels rapidly gaining ground in bank user preferences," Jun. 12, 2019. [Online]. Available: https://www.asbanc.com.pe/Publicaciones/ASBANC-SEMANAL-322.pdf, Accessed on: Mar. 28, 2021.

S. Urday, "In May, virtual channels surpass face-to-face channels for the first time," Jun. 30, 2020. [Online]. Available: https://www.asbanc.com.pe/Publicaciones/Asbanc_InfBancario_352.pdf, Accessed on: Mar. 28, 2021.

F. Jahantigh, A. Habibi, and A. Sarafrazi, "A conceptual framework for business intelligence critical success factors," Int. J. Bus. Inf. Syst., vol. 30, no. 1, pp. 109–123, 2019.

F. Eder and S. Koch, "Critical success factors for the implementation of business intelligence systems," Int. J. of Bus. Intell. Res., vol. 9, no. 2, pp. 27–46, Jul.–Dec. 2018.

A. Magaireah, H. Sulaiman, and N. Ali, "Theoretical framework of critical success factors (CSFs) for business intelligence (BI) system," presented at the 8th Int. Conf. on Inf. Tech., ICIT 2017; Al-Zaytoonah University of Jordan (ZUJ) Amman, Jordan, 2017.

B. Gina and A. Budree, "A review of literature on critical factors that drive the selection of business intelligence tools," presented at the 2020 Int. Conf. on Art. Intell., Big Dat., Comp. and Dat. Comm. Syst., icABCD 2020, Durban, 2020.

M. Ranjbarfard and Z. Hatami, "Critical success factors of BI project implementation: An implementation methodology perspective," Int. J. of Inf., Know., and Manag., vol. 15, pp. 175–202, 2020.

T. Adeyelure, B. Kalema, and K. Bwalya, "A framework for deployment of mobile business intelligence within small and medium enterprises in developing countries," Oper. Res., vol. 18, no. 3, pp. 825–839, Oct. 1, 2018.

T. Adeyelure, B. Kalema, and K. Bwalya, "Deployment factors for mobile business intelligence in developing countries small and medium enterprises," Afr. J. of Sci., Tech., Innov. and Dev., vol. 10, no. 6, pp. 715–723, Sep. 19, 2018.

S. Rezaie, S. Mirabedini, and A. Abtahi, "Designing a model for implementation of business intelligence in the banking industry," Int. J. of Ent. Inf. Syst., vol. 14, no. 1, pp. 77–103, Jan. 2018.

S. Ahmad, S. Miskon, T. Alkanhal, and I. Tlili, "Modeling of business intelligence systems using the potential determinants and theories with the lens of individual, technological, organizational, and environmental contexts – A systematic literature review," Appl. Sci. (Switzerland), vol. 10, no. 9, May 1, 2020.

N. Ain, G. Vaia, W. DeLone, and M. Waheed, "Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review," Dec. Supp. Syst., vol. 125, Oct. 2019.

E. Indriasari, S. Wayan, F. Gaol, A. Trisetyarso, B. Saleh Abbas, and C. Ho Kang, "Adoption of cloud business intelligence in Indonesia’s financial services sector," presented at the 11th Asian Conf. on Intell. Inf. and Datab. Syst., ACIIDS 2019, Yogyakarta, 2019.

S. Rouhani, A. Ashraf, A. Ravasan, and S. Afshari, "Business intelligence systems adoption model: An empirical investigation," J. of Org. and End User Computing, vol. 30, no. 2, pp. 43–70, Apr. 1, 2018.

D. Batra, "Adapting agile practices for data warehousing, business intelligence, and analytics," J. of Dbase Manag., vol. 28, no. 4, pp. 1–23, Oct. 2017.

D. Batra, "Agile values or plan-driven aspects: Which factor contributes more toward the success of data warehousing, business intelligence, and analytics project development?" J. of Syst. and Soft., vol. 146, pp. 249–262, Dec. 2018.

I. Gonzáles-Carrasco, J. Jiménez-Márquez, J. López-Cuadrado, and B. Ruiz-Mezcua, "Automatic detection of relationships between banking operations using machine learning," Inf. Sci., vol. 485, no. 6, pp. 319–346, Jun. 2019.

F. Shirazi and M. Mohammadi, "A big data analytics model for customer churn prediction in the retiree segment," Int. J. of Inf. Manag., vol. 48, no. 10, pp. 238–253, Oct. 2019.

H. Ramalingam and V. Venkatesan, "Conceptual analysis of Internet of Things use cases in banking domain," presented at the IEEE Region 10 Conf.: Tech., Know., and Soc., TENCON 2019, Hotel Grand Hyatt Kerala, Puducherry, 2019.

A. Massardi, and D. Utama, "Business intelligence design of rural bank performance assessment using financial ratio analysis," presented at the 3rd Int. Conf. on Inf. Manag. and Tech., ICIM Tech 2018, Bina Nusantara University, Alam Sutera Campus Jakarta, Indonesia, 2018.

K. C. Susena, D. M. Simanjuntak, P. Parwito, W. Fadillah, and A. Girsang, "Business intelligence for evaluating loan collection performance at bank," presented at the 6th Int. Conf. on Or. Tech., ICOT 2018, Bali, Indonesia, 2018.

A. Owusu, "Business intelligence systems and bank performance in Ghana: The balanced scorecard," Cog. Bus. and Manag., vol. 4, no. 1, Jan. 1, 2017.

M. Al-Maaitah, "Impact of business intelligence competencies on the organizational capabilities in Jordanian banks," J. of Comp. Sci., vol. 14, no. 8, pp. 1144–1154, 2018.

R. Tunowski, "Sustainability of commercial banks supported by business intelligence system," Sust. (Switzerland), vol. 12, no. 11, Jun. 1, 2020.

A. Mortezaei, M. S. Sangari, S. Nazari-Shirkouhi, and J. Razmi, "The impact of business intelligence (BI) competence on customer relationship management (CRM) process: An empirical investigation of the banking industry," J. of Inf. Tech. Manag., vol. 10, no. 1, pp. 209–234, 2018.

R. Seidlova, J. Poživil, and J. Seidl, "Marketing and business intelligence with help of ant colony algorithm," J. of Strat. Mark., vol. 27, no. 5, pp. 451–463, Jul. 4, 2019.

K. Alzeaideen, "Credit risk management and business intelligence approach of the banking sector in Jordan," Int. J. of Innov. Creat. and Change, vol. 8, no. 9, pp. 218–230, Oct. 2019.

X. Wan, Q. Hu, Z. Lu, and M. Yu, "Application of asset securitization and blockchain of internet financial firms," presented at the 14th Int. Conf. on Serv. Syst. and Serv. Manag., ICSSSM 2017, Dalian, China, 2017.

K.-K. Choo, S. Ozcan, A. Dehghantanha, and R. Parizi, "Editorial: Blockchain ecosystem – Technological and management opportunities and challenges," IEEE Trans. on Eng. Manag., vol. 67, no. 4, pp. 982–987, Nov. 2020.

V. Trieu, "Getting value from business intelligence systems: A review and research agenda," Dec. Supp. Syst., vol. 93, no. 1, pp. 111–124, Jan. 2017.

R. Cicchetti, "Business intelligence methodological approaches," Jan. 18, 2012. [Online]. Available: https://www.dataprix.com/es/factores-criticos-exito-un-proyecto-business-intelligence/enfoques-metodologicos-business, Accessed on: Mar. 28, 2021.

J. Fernández González and E. Mayol Sarroca, "With which methodology we must work?" Aug. 31, 2016. [Online]. Available: https://www.esan.edu.pe/apuntes-empresariales/2016/08/con-cual-metodologia-de-business-intelligence-debemos-trabajar/, Accessed on: Mar. 28, 2021.

B. Afolabi and O. Thiery, "Using users' expectations to adapt business intelligence," Laboratoire Lorraine de Recherche en Informatique et ses Applications (LORIA), Aug. 8, 2006. [Online]. Available: https://arxiv.org/ftp/cs/papers/0608/0608043.pdf, Accessed on: March 28, 2021.

Y. Guo, S. Tang, Y. Tong, and D. Yang, "Triple-driven data modeling methodology in data warehousing: A case study," in 9th ACM Int. Workshop on D. Wareh. and OLAP - DOLAP'06, held in conjunction with the ACM 15th Conf. on Inf. and Know. Manag., CIKM 2006, Arlington, VA, United States, 2006.

M. Prouza, S. Brodinova, and A. Tjoa, "Towards an agile framework for business intelligence projects," presented at the 43rd Int. Conv. on Inf., Comm. and Electr. Tech., MIPRO 2020, Grand Hotel Adriatic Congress Centre, and Remisens Hotel Admiral in Opatija, Croatia, 2020.

M. David, F. David, and F. David, "The quantitative strategic planning matrix: A new marketing tool," J. of Strat. Mark., vol. 25, no. 4, pp. 342–352, June 7, 2017.

M. Salomon, "Ensuring a successful data warehouse initiative," Inf. Syst. Manag., vol. 22, no. 1, pp. 26–36, 2005.

S. Rezaie, S. Mirabedini, and A. Abtahi, "Identifying key effective factors on the implementation process of business intelligence in the banking industry of Iran," J. of Intell. Stud. in Bus., vol. 7, no. 3, pp. 5–24, November 2017.

D. Briggs and D. Arnott, "Decision support systems failure, an evolutionary perspective," J. of Dec. Syst., vol. 13, no. 1, pp. 91–111, April 18, 2012.

R. L. Hayen, C. D. Rutashobya, and D. E. Vetter, "An investigation of the factors affecting data warehousing success," Iss. in Inf. Syst., vol. 8, no. 2, pp. 547–553, 2007.

R. A. Eryadi and A. N. Hidayanto, "Critical success factors for business intelligence implementation in an enterprise resource planning system environment using DEMATEL: A case study at a cement manufacture company in Indonesia," J. of Inf. Tech. Manag., vol. 12, no. 1, pp. 67–85, 2020.

B. H. Wixom and H. J. Watson, "An empirical investigation of the factors affecting data warehousing success," MIS Quart.: Manag. Inf. Syst., vol. 25, no. 1, pp. 17–41, 2001.

B. Wixom, T. Ariyachandra, D. Douglas, M. Goul, B. Gupta, L. Iyer, U. Kulkarni, B. J. G. Mooney, G. Phillips-Wren, and O. Turetken, "The current state of business intelligence in academia: The arrival of big data," Comm. of the Assoc. for Inf. Syst., vol. 34, no. 1, pp. 1–13, 2014.

J. Becerra-Godínez, J. L. Serralde-Coloapa, M. Ulloa-Márquez, A. Gordillo-Mejía, and E. Acosta-Gonzaga, "Identifying the main factors involved in business intelligence implementation in SMEs," Bull. of Electr. Eng. and Inf., vol. 9, no. 1, pp. 304–310, Feb. 2020.

D. Sammon and P. Finnegan, "The ten commandments of data warehousing," D. B. Adv. in Inf. Syst., vol. 31, no. 4, pp. 82–91, Sep. 1, 2000.

R. Weir, T. Peng, and J. Kerridge, "Best practice for implementing a data warehouse: A review for strategic alignment," presented at the 5th Int. W. Des. and Manag. of Data Wareh. 2003, Berlin, Germany, 2003.

S. Abdullaev and I. S. Ko, "A study on successful business intelligence systems in practice," J. of Conv. Inf. Tech., vol. 2, no. 2, pp. 89–97, June 2007.

W. Yeoh, J. Gao, and A. Koronios, "Towards a critical success factor framework for implementing business intelligence systems: A Delphi study in engineering asset management organizations," presented at the IFIP Int. Fed. for Inf. Proc., 2008.




DOI: http://dx.doi.org/10.18517/ijaseit.12.3.13670

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