Optimizing Company Finances Using Business Intelligence in Accounting
Abstract
Business intelligence is the process of collecting, analyzing, and interpreting business data to help companies make informed decisions and improve business performance. In accounting, business intelligence is used to understand financial data and monitor overall business performance. This study aims to link the relationship between business intelligence in accounting. Novelty in this research is the methodology in developing business intelligence research in accounting, as it is relatively new to be applied in accounting and business. An approach that combines quantitative and qualitative analysis is very important in achieving the optimization of company finances. Companies must ensure that they have the right strategies and techniques in place to collect, analyze and utilize this information to achieve their financial goals.
References
Arnott, D., Gao, S., Lizama, F., Meredith, R., & Song, Y. (2019). Are business intelligence systems different to decision support systems and other business information systems? Australasian Conference on Information Systems 2019, Perth Western Australia, 624–634.
Bach, M. P., Jaklič, J., & Vugec, D. S. (2018). Understanding impact of business intelligence to organizational performance using cluster analysis: Does culture matter? In International Journal of Information Systems and Project Management (Vol. 6, Issue 3, pp. 63–86). https://doi.org/10.12821/ijispm060304
Chandra, T., Renaldo, N., & Putra, L. C. (2018). Stock Market Reaction towards SPECT Events using CAPM Adjusted Return. Opción, Año 34(Especial No.15), 338–374.
Hurbean, L. (2005). Performance Management with Business Intelligence. SSRN Electronic Journal, October. https://doi.org/10.2139/ssrn.906721
Kakhki, M. D., & Palvia, P. (2016). Effect of Business Intelligence and Analytics on Business Performance. AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems, 1–10.
Renaldo, N., Hafni, L., Hocky, A., Suhardjo, & Junaedi, A. T. (2022). The Influence of Digital Technology and Efficiency Strategy on Business Sustainability with Quality Management as Moderating Variables. 2nd International Conference on Business & Social Sciences, 1464.
Renaldo, N., Suhardjo, Putri, I. Y., Sevendy, T., & Juventia, J. (2021). Penilaian Harga Saham Berbasis Web pada Perusahaan Sektor Aneka Industri Tahun 2020. Kurs: Jurnal Akuntansi, Kewirausahaan Dan Bisnis, 6(1), 91–102. http://www.ejournal.pelitaindonesia.ac.id/ojs32/index.php/KURS/article/view/1309/711
Renaldo, N., Suharti, Andi, Putri, N. Y., & Cecilia. (2021). Accounting Information Systems Increase MSMEs Performance. Journal of Applied Business and Technology, 2(3), 261–270.
Rouhani, S., Ashrafi, A., Ravasan, A. Z., & Afshari, S. (2016). The impact model of business intelligence on decision support and organizational benefits. Journal of Enterprise Information Management, 29(1), 19–50. https://doi.org/10.1108/JEIM-12-2014-0126
Sudarno, Putri, N. Y., Renaldo, N., Hutahuruk, M. B., & Cecilia. (2022). Leveraging Information Technology for Enhanced Information Quality and Managerial Performance. Journal of Applied Business and Technology, 3(1), 102–114.
Sundjaja, A. M., & Veronica. (2016). The Impact of the Implementation of Business Intelligent to Support Decision-Making in the American Banking Industry: A Literature Review. ComTech, 7(4), 267–274. https://doi.org/10.21512/comtech.v7i4.2530
Urumsah, D., & Ramadhansyah, H. (2019). Investigating the Influence of Business Intelligence on the Quality of Decision Making in an Indonesian Fertilizer Company. Journal of Contemporary Accounting, 1(2), 120–129. https://doi.org/10.20885/jca.vol1.iss2.art5
Vugec, D. S., Vukšić, V. B., Bach, M. P., Jaklič, J., & Štemberger, M. I. (2020). Business intelligence and organizational performance: The role of alignment with business process management. Business Process Management Journal, 26(6), 1709–1730. https://doi.org/10.1108/BPMJ-08-2019-0342
Wren, G. P., Daly, M., & Burstein, F. (2021). Reconciling business intelligence, analytics and decision support systems: More data, deeper insight. Decision Support Systems, 146(113560), 1–13. https://doi.org/10.1016/j.dss.2021.113560
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