Strategic Enablers of ROI in Data Driven Marketing: The Role of Leadership, Culture, and BI Maturity

Authors

  • Tri Agung Widayat Politeknik Penerbangan Medan
  • Andi Batari Toja Politeknik Penerbangan Jayapura

DOI:

https://doi.org/10.61978/novatio.v3i1.858

Keywords:

Data Driven Marketing, ROI, Predictive Analytics, Business Intelligence, Organizational Culture, Strategic Leadership, Dynamic Capabilities

Abstract

This study investigates how data-driven marketing practices influence return on investment (ROI), focusing on the organizational enablers that shape their effectiveness. While the rapid growth of big data and analytics offers firms new opportunities, many struggle to translate these resources into measurable financial outcomes. This research addresses this gap by examining how leadership orientation, cultural readiness, and business intelligence (BI) maturity enhance the effectiveness of data-driven strategies in improving ROI.  Using a mixed-methods approach, the study combines survey data with illustrative case studies to uncover how firms align data strategies with performance outcomes. Case evidence, such as Hugo Boss’s €15 million investment in data infrastructure, is used to complement the quantitative results and illustrate practical relevance.  Findings show that predictive analytics and self-service BI can substantially increase ROI compared to traditional marketing methods. Their effectiveness is strengthened when supported by transformational leadership, a strong data culture, and organizational learning. Moreover, firms with mature BI systems demonstrate greater agility in responding to market changes, while competitive industry conditions further amplify the benefits of data-driven strategies. This study contributes a comprehensive model linking data strategies, organizational enablers, and financial performance. It offers practical insights for managers seeking to maximize the value of analytics investments through strategic alignment, cultural transformation, and committed leadershi.

References

Adama, H. E., Popoola, O. A., Okeke, C. D., & Akinoso, A. E. (2024). Theoretical Frameworks Supporting It and Business Strategy Alignment for Sustained Competitive Advantage. International Journal of Management & Entrepreneurship Research, 6(4), 1273–1287. https://doi.org/10.51594/ijmer.v6i4.1058 DOI: https://doi.org/10.51594/ijmer.v6i4.1058

Agu, E. E., Chiekezie, N. R., Abhulimen, A. O., & Obiki-Osafiele, A. N. (2024). Building Sustainable Business Models With Predictive Analytics: Case Studies From Various Industries. International Journal of Advanced Economics, 6(8), 394–406. https://doi.org/10.51594/ijae.v6i8.1436 DOI: https://doi.org/10.51594/ijae.v6i8.1436

Akram, M. S., Goraya, M. A. S., Malik, A., & Aljarallah, A. (2018). Organizational Performance and Sustainability: Exploring the Roles of IT Capabilities and Knowledge Management Capabilities. Sustainability, 10(10), 3816. https://doi.org/10.3390/su10103816 DOI: https://doi.org/10.3390/su10103816

Catacutan, K. J., Acob, T. M., Dadap, J. L., Fernandez, A. N., Mea, R. M. R., Moniño, S. J., & Noriega, J. J. (2024). Digital Marketing and Financial Performance of Business Start-Ups in Tuguegarao City: A Basis for Service Learning Program. Journal of Finance and Business Digital, 3(3), 185–210. https://doi.org/10.55927/jfbd.v3i3.11421 DOI: https://doi.org/10.55927/jfbd.v3i3.11421

Chatzoglou, P., Chatzoudes, D., Sarigiannidis, L., & Theriou, G. (2018). The Role of Firm-Specific Factors in the Strategy-Performance Relationship. Management Research Review, 41(1), 46–73. https://doi.org/10.1108/mrr-10-2016-0243 DOI: https://doi.org/10.1108/MRR-10-2016-0243

Chen, B., Sun, Y., Ding, Y., & Liu, Y. (2020). Innovation or Imitation in New Ventures? 231–251. https://doi.org/10.4018/978-1-7998-3495-3.ch011 DOI: https://doi.org/10.4018/978-1-7998-3495-3.ch011

Côrte-Real, N., Ruivo, P., & Oliveira, T. (2020). Leveraging Internet of Things and Big Data Analytics Initiatives in European and American Firms: Is Data Quality a Way to Extract Business Value? Information & Management, 57(1), 103141. https://doi.org/10.1016/j.im.2019.01.003 DOI: https://doi.org/10.1016/j.im.2019.01.003

Dahiya, R., Le, S., Ring, J. K., & Watson, K. (2021). Big Data Analytics and Competitive Advantage: The Strategic Role of Firm-Specific Knowledge. Journal of Strategy and Management, 15(2), 175–193. https://doi.org/10.1108/jsma-08-2020-0203 DOI: https://doi.org/10.1108/JSMA-08-2020-0203

Foroughi, B., Iranmanesh, M., Hajli, N., Ling, L. S., Ghobakhloo, M., & Nikbin, D. (2024). Roles of Big Data Analytics and Organizational Culture in Developing Innovation Capabilities: A Hybrid PLS‐fsQCA Approach. R and D Management, 55(3), 736–754. https://doi.org/10.1111/radm.12719 DOI: https://doi.org/10.1111/radm.12719

Garmaki, M., Gharib, R. K., & Boughzala, I. (2023). Big Data Analytics Capability And contribution to Firm Performance: The Mediating Effect Of organizational Learning On firm Performance. Journal of Enterprise Information Management, 36(5), 1161–1184. https://doi.org/10.1108/jeim-06-2021-0247 DOI: https://doi.org/10.1108/JEIM-06-2021-0247

Giakomidou, D. S., Kriemadis, A., Nasiopoulos, D. Κ., & Mastrakoulis, D. M. (2022). Re-Engineering of Marketing for SMEs in Energy Market Through Modeling Customers’ Strategic Behavior. Energies, 15(21), 8179. https://doi.org/10.3390/en15218179 DOI: https://doi.org/10.3390/en15218179

Haverila, M., Haverila, K., Mohiuddin, M., & Su, Z. (2022). The Impact of Quality of Big Data Marketing Analytics (BDMA) on the Market and Financial Performance. Journal of Global Information Management, 30(1), 1–21. https://doi.org/10.4018/jgim.315646 DOI: https://doi.org/10.4018/JGIM.315646

Johnson, D. S., Sihi, D., & Muzellec, L. (2021). Implementing Big Data Analytics in Marketing Departments: Mixing Organic and Administered Approaches to Increase Data-Driven Decision Making. Informatics, 8(4), 66. https://doi.org/10.3390/informatics8040066 DOI: https://doi.org/10.3390/informatics8040066

Khan, A., Talukder, Md. S., Islam, Q. T., & Islam, A. K. M. N. (2022). The Impact of Business Analytics Capabilities on Innovation, Information Quality, Agility and Firm Performance: The Moderating Role of Industry Dynamism. Vine Journal of Information and Knowledge Management Systems, 54(5), 1124–1152. https://doi.org/10.1108/vjikms-01-2022-0027 DOI: https://doi.org/10.1108/VJIKMS-01-2022-0027

Lima, F. F., Rossi, G. N., Santos, R. G. d., & Osório, F. d. L. (2023). Multifaceted Empathy Test (MET): Validity Evidence for the Brazilian Population Concerning the Computer-Based (Face-to-Face) and Online Versions. Plos One, 18(7), e0284524. https://doi.org/10.1371/journal.pone.0284524 DOI: https://doi.org/10.1371/journal.pone.0284524

Medeiros, M. M. d., Maçada, A. C. G., & José Carlos da Silva Freitas. (2020). The Effect of Data Strategy on Competitive Advantage. The Bottom Line Managing Library Finances, 33(2), 201–216. https://doi.org/10.1108/bl-12-2019-0131 DOI: https://doi.org/10.1108/BL-12-2019-0131

Mikalef, P., Fjørtoft, S. O., & Torvatn, H. (2019). Developing an Artificial Intelligence Capability: A Theoretical Framework for Business Value. 409–416. https://doi.org/10.1007/978-3-030-36691-9_34 DOI: https://doi.org/10.1007/978-3-030-36691-9_34

Moschogianni, G. (2024). Interplay Between Digital Marketing, Business Analytics and Innovation Capability: A Case of Greece SMEs. Journal of Management Practices Humanities and Social Sciences, 8(2). https://doi.org/10.33152/jmphss-8.2.3 DOI: https://doi.org/10.33152/jmphss-8.2.3

Nurdiani, T. W., Anas, M., Afrizal, A., & Sulistiana, I. (2023). The Impact of Data Volume and Analytical Complexity in Big Data Technology on Financial Performance Prediction in Financial Companies in Indonesia. The Es Accounting and Finance, 2(01), 64–76. https://doi.org/10.58812/esaf.v2i01.155 DOI: https://doi.org/10.58812/esaf.v2i01.155

Olaniyi, F. G., Olaniyi, O. O., Adigwe, C. S., Abalaka, A. I., & Shah, N. H. (2023). Harnessing Predictive Analytics for Strategic Foresight: A Comprehensive Review of Techniques and Applications in Transforming Raw Data to Actionable Insights. Asian Journal of Economics Business and Accounting, 23(22), 441–459. https://doi.org/10.9734/ajeba/2023/v23i221164 DOI: https://doi.org/10.9734/ajeba/2023/v23i221164

Ourzik, V. Y. (2023). Big Data and Performance: The Mediating Effect of Customer Agility. European Conference on Knowledge Management, 24(2), 1719–1723. https://doi.org/10.34190/eckm.24.2.1483 DOI: https://doi.org/10.34190/eckm.24.2.1483

Raguseo, E., & Vitari, C. (2018). Investments in Big Data Analytics and Firm Performance: An Empirical Investigation of Direct and Mediating Effects. International Journal of Production Research, 56(15), 5206–5221. https://doi.org/10.1080/00207543.2018.1427900 DOI: https://doi.org/10.1080/00207543.2018.1427900

Rahman, M. S., Hossain, M. A., & Fadi Abdel Muniem Abdel Fattah. (2021). Does Marketing Analytics Capability Boost Firms’ Competitive Marketing Performance in Data-Rich Business Environment? Journal of Enterprise Information Management, 35(2), 455–480. https://doi.org/10.1108/jeim-05-2020-0185 DOI: https://doi.org/10.1108/JEIM-05-2020-0185

Saura, J. R., Palos‐Sánchez, P. R., & Suárez, L. M. C. (2017). Understanding the Digital Marketing Environment With KPIs and Web Analytics. Future Internet, 9(4), 76. https://doi.org/10.3390/fi9040076 DOI: https://doi.org/10.3390/fi9040076

Wamba, S. F., Akter, S., & Bourmont, M. d. (2018). Quality Dominant Logic in Big Data Analytics and Firm Performance. Business Process Management Journal, 25(3), 512–532. https://doi.org/10.1108/bpmj-08-2017-0218 DOI: https://doi.org/10.1108/BPMJ-08-2017-0218

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big Data Analytics and Firm Performance: Effects of Dynamic Capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009 DOI: https://doi.org/10.1016/j.jbusres.2016.08.009

Yulita, K., & Fanani, Z. (2021). The Effect of Innovation Strategy in the Influence of Managerial Ability on Firm Performance. Jurnal Reviu Akuntansi Dan Keuangan, 11(3), 525–536. https://doi.org/10.22219/jrak.v11i3.14956 DOI: https://doi.org/10.22219/jrak.v11i3.14956

Zhang, Z., Shang, Y., Cheng, L., & Hu, A. (2022). Big Data Capability and Sustainable Competitive Advantage: The Mediating Role of Ambidextrous Innovation Strategy. Sustainability, 14(14), 8249. https://doi.org/10.3390/su14148249 DOI: https://doi.org/10.3390/su14148249

Zhi, C., Huang, S., & Cheng, Z. ‐Y. (2024). Navigating Economic Uncertainties: The Role of Technological Innovations in Enhancing Supply Chain Resilience. Advances in Economics Management and Political Sciences, 112(1), 126–131. https://doi.org/10.54254/2754-1169/112/20242290 DOI: https://doi.org/10.54254/2754-1169/112/20242290

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Published

2025-01-31

How to Cite

Widayat, T. A., & Toja, A. B. (2025). Strategic Enablers of ROI in Data Driven Marketing: The Role of Leadership, Culture, and BI Maturity. Novatio : Journal of Management Technology and Innovation , 3(1), 43–52. https://doi.org/10.61978/novatio.v3i1.858