Integration of Business Intelligence Systems
Advances in Business IT influence companies to become more data driven. Business Intelligence Systems provide insight into organizational performance. As Business Intelligence Systems evolve they are being integrated across entire organizations to provide real time analytics for operational support. CONTROLLER INFO VIII.ÉVF. 2020. 3. szám 12-14.
As systems and organizations become more integrated, companies can develop new capabilities to better utilize data. As Business Intelligence integration grows operational data will no longer be under the sole purview of management. As BI systems improve and organizations integrate them for operational support, we can expect organizational culture to become more data driven. It will select for employees that can work with data better. Roles that support data analysis will be essential. The integration of Artificial Intelligence will allow for more exhaustive metrics. AI supported BI systems can provide on demand actionable analysis. The widespread integration of BI Machine Learning and Language Processing modules will allow for predictive analysis. The system will show analysts what they need to see based on query, usage, or declared KPIs.
AHMAD, S. - MISKON, S. - ALABDAN, R.; TLILI, I. (2020): Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0. Sustainability 2020, 12, 2632. DOI: 10.3390/su12072632
CASEIRO, N. - COELHO A. (2019): The influence of Business Intelligence capacity, network learning and innovativeness on startups performance. Journal of Innovation & Knowledge Volume 4, Issue 3, July–September 2019, Pages 139-145 DOI: 10.1016/j.jik.2018.03.009
GAL, T. – NAGY, L. – DAVID, L. – VASA, L. – BALOGH, P. (2013): Technology planning system as a decision support tool for dairy farms in Hungary. Acta Polytechnica Hungarica 10 : 8 pp. 231-244.
ISAZAD, M. - OJO A. - SULLIVAN F. (2019): Analysis of Business Intelligence Applications in Healthcare Organizations. Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 DOI: 10.24251/HICSS.2019.503
KIETZMANN, J. - PITT, L. (2019): Artificial intelligence and machine learning: What managers need to know. Business Horizons. 63. DOI: 10.1016/j.bushor.2019.11.005.
VASA, L. (2010): Egy lehetséges kitörési pont: innovatív vállalkozói környezet. Harvard Business Review (Magyar Kiadás) 2010/5 pp. 34-41.
WEILER, S. - MATT, C. - HESS, T. (2019): Understanding User Uncertainty during the Implementation of Self-Service Business Intelligence: A Thematic Analysis Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 DOI: 10.24251/HICSS.2019.709
Zéman, Z. – Tóth, A. (2018): Strategic financial controlling and management. Budapest: Akadémiai Kiadó, 2018. 211 p. ISBN: 9789630599061