Version 1
: Received: 20 June 2024 / Approved: 21 June 2024 / Online: 24 June 2024 (05:14:41 CEST)
How to cite:
Holloway, S. Exploring the Integration of Supply Chain Data Analytics with Marketing Strategies for Enhanced Customer Insights. Preprints2024, 2024061499. https://doi.org/10.20944/preprints202406.1499.v1
Holloway, S. Exploring the Integration of Supply Chain Data Analytics with Marketing Strategies for Enhanced Customer Insights. Preprints 2024, 2024061499. https://doi.org/10.20944/preprints202406.1499.v1
Holloway, S. Exploring the Integration of Supply Chain Data Analytics with Marketing Strategies for Enhanced Customer Insights. Preprints2024, 2024061499. https://doi.org/10.20944/preprints202406.1499.v1
APA Style
Holloway, S. (2024). Exploring the Integration of Supply Chain Data Analytics with Marketing Strategies for Enhanced Customer Insights. Preprints. https://doi.org/10.20944/preprints202406.1499.v1
Chicago/Turabian Style
Holloway, S. 2024 "Exploring the Integration of Supply Chain Data Analytics with Marketing Strategies for Enhanced Customer Insights" Preprints. https://doi.org/10.20944/preprints202406.1499.v1
Abstract
The integration of supply chain data analytics with marketing strategies has become increasingly critical for organizations seeking to enhance customer insights and competitive advantage in today's dynamic business environment. This qualitative research explores the intersection of these two disciplines, focusing on implementation strategies, benefits, challenges, and future directions. Through semi-structured interviews with industry experts and stakeholders, key themes emerged, highlighting the importance of cross-functional collaboration, technological integration, and robust data governance in achieving effective integration. The study identifies significant benefits, including enhanced customer insights, improved operational efficiencies, and competitive advantage through personalized marketing strategies and optimized supply chain management. However, challenges such as data silos, technological complexities, and regulatory compliance issues pose barriers that require strategic solutions and organizational commitment. Future directions point towards the continued evolution of predictive analytics, AI-driven solutions, and sustainability integration, shaping the future landscape of supply chain management and marketing. Proactive engagement with regulatory frameworks and ethical considerations will be crucial in navigating these challenges and building trust with consumers. Ultimately, this research contributes to a deeper understanding of how organizations can leverage data analytics to drive strategic decision-making, enhance customer relationships, and achieve sustainable growth in an increasingly data-driven economy.
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
