A Critical Analysis of Business Models of Big Data as a Panacea for Business Growth Forecast
Keywords:
Business Models, Big Data and Business Growth ForecastAbstract
This study analyzed business models of big data as a panacea for business growth forecast. The study noted that big data analytics has changed the game in a number of industries by providing companies with insightful information to improve decision-making, streamline processes, and forecast market trends. In carrying out this research, numerous subheads were taken into consideration, some of which included: concept of business models, concept of big data, concept of business growth and concept of business growth forecast. The study mentioned the effects of business models on business growth to include: market reach/customer acquisition and cost efficiency among others. Furthermore, the study stated the types of business forecasting to include: quantitative forecasting, qualitative forecasting and causal forecasting. In the same vein, the study mentioned the types of panacea models to include: holistic development models and behavioral pricing models to mention a few. Structured data, semi-structured data and unstructured data were mentioned as the types of big data. The effects of big data on business growth forecast as highlighted in the study included: enhanced accuracy, proactive decision-making and customer segmentation. The study also mentioned gathering data, identifying key drivers and modeling revenue projections as the ways to utilize a business model to forecast business growth. Some of the challenges of using big data to forecast business growth as mentioned in the study included: data quality and reliability, data integration challenges and technological infrastructure. The study further stated the mitigations to the challenges of using big data to forecast business growth to include: improving data quality and reliability, streamlining data integration and enhancing technological infrastructure. The study concluded that business models leveraging big data underscores its transformative potential in driving business growth. One of the recommendations made was that organizations should invest in advanced analytics tools and skilled personnel to harness big data effectively.
Downloads
References
Adewale, T., & Eze, N. (2023). Macroeconomic Variables and Their Impact on Business Growth Forecasting in Africa. African Journal of Economic Studies, 18(1), 78-95.
Adewale, T., & Obasi, P. (2024). Causal Relationships in Business Growth Forecasting: The Role of External Variables. African Journal of Business Studies, 19(1), 45-59.
Akbar K., Beccarello M., Hayat M. & Ejaz P. (2025). Circular Economy and Opportunities for SMEs in Leather Industry of Pakistan. Journal of Business Management Research, 4(1): 107-128.
Alabi, O., & Ojo, F. (2022). Analyzing Market Trends for Business Forecasting in the Post-COVID Era. Journal of Economic Trends, 22(4), 89-104.
Almeida, M. D., Silva, M. A., & Santos, P. (2023). Business growth in the digital age: Leveraging technology for strategic advantage. Journal of Business Strategy, 44(2), 123-134.
Bello O.A. (2022). The Impact of Big Data on Economic Forecasting and Policy Making, International Journal of Development and Economic Sustainability, 10 (6), 66-89
Breitmayer M. (2025). Mining object lifecycle processes: challenges, concepts, use cases. Available at: https://doi.org/10.18725/OPARU-55003
Chae, B. K., Yang, J., & Olson, D. L. (2014). A review of business analytics in supply chain management. International Journal of Production Economics, 151, 63-72.
Chapman, S. C. E., & Chan, A. H. Y. (2025). Big data and medication adherence: Opportunities and challenges. Frontiers in Pharmacology.
Chen, X. S., Liu, C. X., Liu, F., and Fang, M. J. (2021). Firm sustainable growth during the COVID-19 pandemic: the role of customer concentration. Emerg. Mark. Finance Trade 57, 1566–1577. doi: 10.1080/1540496x.2021.1904884
D’Adamo I., Ciambellini G., Gastaldi M. & Smol M. (2025). Sustainability and competitiveness: Economic analysis of a photovoltaic plant with storage in an Italian textile company. Innovation and Green Development, 4(2): 100209.
Deng Y., Liu S., Li M., Zhang N., Feng Y., Han J., Kapitonov Y., Li Y. & Zhai T. (2024). Large-area growth of synaptic heterostructure arrays for integrated neuromorphic visual perception chips. DOI: https://doi.org/10.1016/j.chip.2024.100088
Ertz M., Maravilla J. & Cao X. (2025). Prosumer: A new approach to conceptualization. Journal of Innovation & knowledge, 10 (2025) 100653.
Freller A. (2025). The Freller Gallery: A Business Concept for a Vienna based Art Gallery. MA Projects. 230. https://digitalcommons.sia.edu/stu_proj/230
Fujioka-Kobayashi M., Kawase T., Mourao C. & Mastrogiacomo M. (2024). Editorial: Recent advances in platelet-concentrate therapy in regenerative medicine. Available at: https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2024.1518095/full
Grant T. (2024). Causing Chaos for an Adversary Using the Cynefin Framework. In Alberts, D.S. (ed.), Proceedings, 29th International Command & Control Research & Technology Symposium (ICCRTS 2024), RUSI, London, UK, 24-26 September 2024, paper 13, ISSN 2577-1604.
Houston, M. (2024). 8 Lucrative Business Models for Entrepreneurs. https://www.forbes.com/sites/melissahouston/2024/03/25/8-lucrative-business-models-for-entrepreneurs/
Hu M., Qin T. & Sekar S. (2024). Pricing and Rarity Design of Blind Boxes with Random Items. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4929281
Hussain, M., Ali, M., & Shah, Z. (2021). The impact of financial management practices on business growth. International Journal of Finance and Accounting, 15(1), 67-79.
Kaur, R., & Arora, A. (2020). Big Data Analytics: Challenges and Future Directions. Journal of Computer Science and Technology, 35(2), 23-37.
Kgakatsi, M., Galeboe, O. P., Molelekwa, K. K., & Thango, B. A. (2024). The Impact of Big Data on SME Performance: A Systematic Review. Businesses, 4(4), 632-695. https://doi.org/10.3390/businesses4040038
Khanna, S., & Arora, P. (2022). Strategic growth approaches for small and medium enterprises in emerging markets. Global Business Review, 23(4), 456-470.
Kim, L., & Song, H. (2021). The Use of Time-Series Models for Business Forecasting. Journal of Business Analytics, 15(2), 34-47.
Kim, Y., & Park, J. (2024). Leveraging Artificial Intelligence for Enhanced Business Forecasting Accuracy. International Journal of Business Technology, 11(2), 78-91.
Kim, Y., Park, J., & Wong, K. (2024). Sustainability Metrics in Growth Forecasting Models. Sustainable Business Quarterly, 12(2), 56-74.
Kitajima H. (2024). Introduction of Smallholder Horticulture Empowerment and Promotion (Shep) Approach as an Innovative Agricultural Extension Model. African Journal of Food, Agriculture, Nutrition and Development, 24(3): 25902-25918.
Kumar, N., & Singh, S. (2022). Big Data in Geospatial Analytics: Challenges and Opportunities. Journal of Geographic Information Science, 35(3), 200-220.
Kumar, R., & Singh, N. (2021). Using Historical Data to Enhance Business Model Forecasting. International Journal of Business Analytics, 18(2), 75-90.
Kumar, R., & Verma, S. (2021). Unstructured Data in Big Data Analytics: A Survey. International Journal of Data Science and Technology, 8(3), 98-115.
Lapatoura L. (2024). Intellectual property infringement in fashion: insufficient enforcement and how block chain may change the landscape. Available at: https://eprints.nottingham .ac.uk/78184/
Latifi, M.-A., Nikou, S., and Bouwman, H. (2021). Business model innovation and firm performance: exploring causal mechanisms in SMEs. Technovation 107:102274. doi: 10.1016/j.technovation.2021.102274
Li, Y., Li, B. & Lu, T. (2022) Founders’ Creativity, Business Model Innovation, and Business Growth. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.892716/full
Löfsten, H., Isaksson, A., Rannikko, H. et al. Impact of initial business model on the growth trajectory of new technology-based firms: a path dependency perspective. J Technol Transf (2024). https://doi.org/10.1007/s10961-024-10086-6
Luther, D. (2024). 4 Revenue Forecasting Models for Professional Services. Available at: https://www.netsuite.com/portal/resource/articles/financial-management/revenue-fore casting-professional-services.shtml#:~:text=Regularly%20updating%20forecasts% 20allows%20services%20firms%20to,regularly%20gathering%20real%2Dtime%20data%20from%20multiple%20sources.
Madu, C., & Okeke, O. (2023). Econometric Models in Business Forecasting: The Role of Macroeconomic Factors. Global Journal of Economic Studies, 19(1), 34-47.
Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt.
Meade, N. & Islam, T. (2024) Forecasting with growth curves: An empirical comparison. International Journal of Forecasting. 11(2). https://doi.org/10.1016/0169-2070(94)00556-R
Mehreen, A., Shamsi, A. T., & Tariq, R. (2024). Sustainability and its role in business growth: A review of green business strategies. Journal of Sustainable Business, 12(3), 89-102.
Morselli, D., Barros, A., & Azevedo, M. (2021). Entrepreneurial orientation and its impact on business growth in emerging markets. Journal of Entrepreneurship Research, 18(3), 220-235.
Ndayako, F. (2021). An Empirical Investigation into Impact of Business Model on Performance for SMEs in Nigeria. Open Journal of Business and Management. 9(6).
Okon, I., & Akpan, U. (2025). Scenario Planning and Forecasting in Post-Pandemic Business Strategies. Nigerian Journal of Strategic Planning, 10(2), 65-80.
Oncioiu, I.; Bunget, O.C.; Türkeș, M.C.; Căpușneanu, S.; Topor, D.I.; Tamaș, A.S.; Rakoș, I.-S.; Hint, M.Ș. The Impact of Big Data Analytics on Company Performance in Supply Chain Management. Sustainability 2019, 11, 4864. https://doi.org/10.3390/su11184864
Owolabi, M. O., Abiola, A. A., & Yusuf, M. T. (2020). Human capital development and business growth: A theoretical approach. Business and Economic Horizons, 16(4), 100-112.
Park J. (2024). Why Holistic Human Development is Crucial for Transformative Development of Nations: Insights from Korea. Review of Institution and Economics, 18(1):17-44.
Parry G. & Sarpong D. (2025). Exploring What Makes Business Good? Organizing for Social Good. Strategic Change, 2025; 0:1-5.
Qi, W., Sun, M., & Hosseini, S.R.A. (2023). Facilitating big-data management in modern business and organizations using cloud computing: a comprehensive study. Journal of Management & Organization, 29(4), 697-723. DOI: 10.1017/jmo.2022.17
Ruparelia, A. (2024). Navigating the future with business forecasting. Available at: https://agicap.com/en/article/business-forecasting/#:~:text=The%20forecast%20models% 20serve%20as%20valuable%20tools,models%2C%20businesses%20can%20make%20data%2Ddriven%20decisions%2C%20improve
Santos, C., & Vieira, F. (2023). The role of the Ansoff Matrix in driving business growth in the modern era. Strategic Management Journal, 41(5), 567-583.
Sedlakova J., Stanikic M., Gille F., Bernard J., Horn A., Wolf M., Haag C., Floris J., Morgenshtern G., Schneider G., Wojczynska A. & Wyl V. (2025). Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique. JMIR Med Educ 2025; 11:e56369 doi: 10.2196/56369 PMID: 39847774
Simelyte A. (2025). Innovativeness towards Transformation from Linear to Circular Economy. Economics and Business, 2025, 39, 1-12.
Singh, A., & Sharma, R. (2022). The Role of Semi-Structured Data in Big Data Analytics. International Journal of Information Management, 47(5), 112-124.
Smith, D., & Taylor, H. (2022). Market Volatility and Forecasting During Global Disruptions. Global Business Review, 25(4), 112-130.
Taylor, J., & Smith, M. (2022). Enhancing Judgmental Forecasting with Data-Driven Insights. Journal of Strategic Business Insights, 18(1), 25-40.
Zhang M. & Hashim A. (2025). Research on gamification and perceptual improvement of online course interaction design in children’s online education. Multidisciplinary Science Journal, (| Accepted Articles). Retrieved from https://malque.pub/ojs/index.php/msj/article/view/7436
Zhang, Y., & Wang, D. (2023). Expert Judgment and Qualitative Forecasting Techniques for New Product Development. Global Business Review, 28(3), 102-117.
Zhao Y. (2024). Connecting Data Science and Arts: Exploring Data-Art Integration in a Data-Art Inquiry Program. Available at: http://dx.doi.org/10.13140/RG.2.2.18535.36005