Moushumi Akter Mouli, Monjurul Alam. "Role of Data Analytics in Organizational Decision Making" International Research Journal of Economics and Management Studies, Vol. 3, No. 12, pp. 224-232, 2024.
Data analytics has become a vital tool in today’s fast-changing business environment in order to improve organizational decision-making. This paper will discuss the multiple roles data analytics plays in shaping strategic, tactical, and operational decisions in different organizational settings. The research uses a mixed-methods approach to assess the extent of analytics adoption by combining quantitative surveys and qualitative interviews to identify key enablers and barriers to analytics adoption, evaluate the impact on decision quality and organizational performance, and examine ethical, privacy, and bias considerations. The results indicated that while a large number of organizations have adopted basic descriptive analytics into the processes, fewer have proceeded to the predictive and prescriptive analytics stages. Critical factors that enable full integration of analytics include strong commitment from leadership, robust frameworks of data governance, an analytical workforce with the proper skills, and an appropriate organizational culture. On the other hand, challenges associated with poor data quality, inadequate technical expertise, and change resistance prevent the effective exploitation of analytics benefits. Moreover, the study reflects a significant gap in issues of ethics and privacy as an area that needs strong governance strategies. Based on this, a conceptual framework is proposed to guide organizations in enhancing their analytics maturity. These include key emphasis areas on leadership, data quality, workforce development, cultural alignment, and ethical practices. The main study conclusion is that effective utilization of data analytics can significantly improve the quality of decisions and organizational performance, provided that organizations appropriately address the inherent challenges and adopt a holistic, integrated approach to analytics implementation.
[1] Araz, O. M., Choi, T., Olson, D. L., & Salman, F. S. (2020). Role of analytics for operational risk management in the era of big data. Decision Sciences,
51(6), 1320–1346.
[2] Awan, U., Bhatti, S. H., Shamim, S., Khan, Z., Akhtar, P., & Balta, M. E. (2022). The role of big data analytics in manufacturing agility and
performance: moderation–mediation analysis of organizational creativity and of the involvement of customers as data analysts. British Journal of
Management, 33(3), 1200–1220.
[3] Awan, U., Shamim, S., Khan, Z., Zia, N. U., Shariq, S. M., & Khan, M. N. (2021). Big data analytics capability and decision-making: The role of datadriven insight on circular economy performance. Technological Forecasting and Social Change, 168, 120766.
[4] Barlette, Y., & Baillette, P. (2022). Big data analytics in turbulent contexts: towards organizational change for enhanced agility. Production Planning &
Control, 33(2–3), 105–122.
[5] Bharadiya, J. P. (2023). A comparative study of business intelligence and artificial intelligence with big data analytics. American Journal of Artificial
Intelligence, 7(1), 24.
[6] Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial
intelligence for organizational decision-making. Technovation, 106, 102312.
[7] Chaudhuri, R., Chatterjee, S., Vrontis, D., & Thrassou, A. (2024). Adoption of robust business analytics for product innovation and organizational
performance: the mediating role of organizational data-driven culture. Annals of Operations Research, 339(3), 1757–1791.
[8] El Khatib, M., Al Mulla, A., & Al Ketbi, W. (2022). The role of blockchain in E-governance and decision-making in project and program management.
Advances in Internet of Things, 12(3), 88–109.
[9] Ghasemaghaei, M. (2020). Improving organizational performance through the use of big data. Journal of Computer Information Systems.
[10] Ghosh, P. R., Afnan, M., & Biswas, J. (2023). Neurocybernetic Assistive Technologies to Enhance Robotic Wheelchair Navigation. Journal of
Primeasia.
[11] Ghosh, P. R., Mozumder, T., & Rashid, S. (2023). Navigating the AI Frontier: Advancements Redefining the World Wide Web’s Future–A. Journal of
Primeasia.
[12] Gupta, S., Drave, V. A., Dwivedi, Y. K., Baabdullah, A. M., & Ismagilova, E. (2020). Achieving superior organizational performance via big data
predictive analytics: A dynamic capability view. Industrial Marketing Management, 90, 581–592.
[13] Halimuzzaman, M., Sharma, D. J., Bhattacharjee, T., Mallik, B., Rahman, R., Rezaul Karim, M., Masrur Ikram, M., & Fokhrul Islam, M. (2024).
Blockchain Technology for Integrating Electronic Records of Digital Healthcare System. Journal of Angiotherapy, 8(7).
[14] Halimuzzaman, M., & Sharma, J. (2022). Applications of accounting information system (AIS) under Enterprise resource planning (ERP): A
comprehensive review. International Journal of Early Childhood Special Education (INT-JECSE), 14(2), 6801–6806.
[15] Halimuzzaman, M., Sharma, J., & Khang, A. (2024). Enterprise Resource Planning and Accounting Information Systems: Modeling the Relationship in
Manufacturing. In Machine Vision and Industrial Robotics in Manufacturing (pp. 418–434). CRC Press.
[16] Hassan, K., Ferdaus, J., & Mosharaf, T. (2022). Spirituality in Hospitality Services: An Assessment of Halal Tourism Practices. Journal of Primeasia.
[17] Hassan, S., Afrin, S., & Islam, M. R. (2022). A Wavelet-Based Approach to Rapidly Identify Drug-Addicted Individuals Using Voice Signal Analysis.
Journal of Primeasia.
[18] Honey, S., & Hossain, M. J. (2024). Consumer Perception of Eco-Friendly Apparel: Insights from Bangladesh’s RMG Sector. INTERNATIONAL
JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS), VIII. https://doi.org/10.47772/IJRISS
[19] Hossain, M. M., & Islam, M. S. (2022). Policy Recommendations and Guidelines on Sustainable Tourism Development in Bangladesh–A Systematic
Review. Journal of Primeasia, 3(1), 1–9.
[20] Islam, T., Islam, M. N., Zihad, M. A., & Datta, S. (2022). Toxic Leadership and Employee Misconduct of Hotel and Tourism Institution: A Frontline
Perspective. Journal of Primeasia.
[21] Jha, A. K., Agi, M. A. N., & Ngai, E. W. T. (2020). A note on big data analytics capability development in supply chain. Decision Support Systems, 138,
113382.
[22] Khondkar, M., & Honey, S. (2022). Sustainable Marketing in The Ready-Made Garments (RMG) Sector of Bangladesh. Indonesian Journal of Social
Research (IJSR), 4(2), 96–108.
[23] Koot, M., Mes, M. R. K., & Iacob, M. E. (2021). A systematic literature review of supply chain decision making supported by the Internet of Things and
Big Data Analytics. Computers & Industrial Engineering, 154, 107076.
[24] Li, C., Chen, Y., & Shang, Y. (2022). A review of industrial big data for decision making in intelligent manufacturing. Engineering Science and
Technology, an International Journal, 29, 101021.
[25] Mailool, J., Kartowagiran, B., Retnowati, T. H., Wening, S., & Putranta, H. (2020). The Effects of Principal’s Decision-Making, Organizational
Commitment and School Climate on Teacher Performance in Vocational High School Based on Teacher Perceptions. European Journal of Educational
Research, 9(4), 1675–1687.
[26] Maroufkhani, P., Tseng, M.-L., Iranmanesh, M., Ismail, W. K. W., & Khalid, H. (2020). Big data analytics adoption: Determinants and performances
among small to medium-sized enterprises. International Journal of Information Management, 54, 102190.
[27] Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making using big data analytics.
Information Processing & Management, 58(6), 102725.
[28] Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information
Management, 56, 102231.
[29] Rasheed, S., Nazneen, F., & Huda, M. N. (2022). The Kamranga Mosque: Architectural Synthesis and Heritage Significance in Colonial Dhaka-Review.
Journal of Primeasia.
[30] Sarker, I. H. (2021). Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective. SN
Computer Science, 2(5), 377.
[31] Shamim, S., Zeng, J., Khan, Z., & Zia, N. U. (2020). Big data analytics capability and decision making performance in emerging market firms: The role
of contractual and relational governance mechanisms. Technological Forecasting and Social Change, 161, 120315.
[32] Shrestha, Y. R., Krishna, V., & von Krogh, G. (2021). Augmenting organizational decision-making with deep learning algorithms: Principles, promises,
and challenges. Journal of Business Research, 123, 588–603.
[33] Tomaszewski, L. E., Zarestky, J., & Gonzalez, E. (2020). Planning qualitative research: Design and decision making for new researchers. International
Journal of Qualitative Methods, 19, 1609406920967174.
[34] Upadhyay, P., & Kumar, A. (2020). The intermediating role of organizational culture and internal analytical knowledge between the capability of big
data analytics and a firm’s performance. International Journal of Information Management, 52, 102100.
[35] Yu, W., Zhao, G., Liu, Q., & Song, Y. (2021). Role of big data analytics capability in developing integrated hospital supply chains and operational
flexibility: An organizational information processing theory perspective. Technological Forecasting and Social Change, 163, 120417.
Data Analytics, Organizational Decision Making, Predictive Analytics, Data Governance, Ethical Considerations, Analytics Maturity, Leadership Commitment, Workforce Development, Data-Driven Culture, Competitive Advantage.