Navigating the Complexity of Customer Data Management: Integrating Big Data and AI for Effective Customer Segmentation and Targeting

Authors

  • Karl Mueller Lecturer, AI in Medicine Division, Alpen University, Munich, Germany Author

Keywords:

Customer Data Management, Big Data, Artificial Intelligence, Customer Segmentation, Targeting, Personalization, Marketing Campaigns

Abstract

This paper delves into the intricate landscape of customer data management within the context of Industry 4.0, scrutinizing the challenges and prospects therein. It elucidates the symbiotic relationship between big data and AI in fostering efficacious customer segmentation and targeting strategies, thereby enhancing marketing campaign personalization and augmenting return on investment (ROI). Through a comprehensive exploration, this study underscores the imperative of balancing these technological advancements with privacy considerations and regulatory compliance mandates. By amalgamating insights from diverse scholarly sources and real-world case studies, this paper offers a nuanced understanding of navigating the complexities inherent in contemporary customer data management practices.

Downloads

Download data is not yet available.

References

Smith, John. "The Role of Big Data in Customer Relationship Management." Journal of Marketing Analytics, vol. 5, no. 2, 2017, pp. 87-102.

Reddy, Surendranadha Reddy Byrapu, and Surendranadha Reddy. "Large Scale Data Influences Based on Financial Landscape Using Big Data." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3862-3870.

Johnson, Emily R. "Ethical Considerations in AI-Driven Customer Segmentation." Journal of Business Ethics, vol. 36, no. 4, 2020, pp. 521-537.

Brown, Sarah A. "Privacy Concerns and Regulatory Compliance in the Era of Industry 4.0." International Journal of Information Management, vol. 40, 2019, pp. 15-26.

Garcia, Maria L. "Leveraging AI for Personalized Marketing Campaigns: A Case Study of Amazon." Harvard Business Review, vol. 92, no. 3, 2018, pp. 45-56.

Patel, Rahul K. "Data Security and Privacy Protection Measures in Industry 4.0 Environments." Journal of Cybersecurity, vol. 8, no. 1, 2021, pp. 112-127.

Wang, Li. "The Impact of GDPR on Customer Data Management Practices: A Comparative Analysis." European Journal of Marketing, vol. 47, no. 3, 2018, pp. 312-328.

Kim, Yoon J. "Real-Time Personalization in the Era of Industry 4.0: Opportunities and Challenges." Journal of Interactive Marketing, vol. 25, no. 4, 2019, pp. 213-229.

Jones, David M. "AI-powered Predictive Analytics in Customer Data Management: A Review." Information Systems Research, vol. 30, no. 2, 2022, pp. 145-162.

Garcia, Ana M. "The Role of Big Data Analytics in Improving ROI: Evidence from the Retail Sector." Journal of Business Research, vol. 75, 2018, pp. 112-125.

Nguyen, Mai T. "Strategies for Addressing Evolving Challenges in Customer Data Management." International Journal of Production Economics, vol. 210, 2021, pp. 87-98.

Patel, Rajesh K. "Compliance with Data Protection Regulations: A Comparative Study of GDPR and CCPA." Journal of Computer Security, vol. 15, no. 3, 2020, pp. 321-335.

Lee, James H. "Building Trust and Transparency with Customers: Lessons from Industry Leaders." Journal of Consumer Behavior, vol. 18, no. 1, 2019, pp. 54-68.

Kim, Seung H. "The Future of Customer Data Management: Trends and Opportunities." Journal of Strategic Marketing, vol. 32, no. 4, 2023, pp. 189-205.

Chen, Wei. "Data Governance and Quality Assurance in Industry 4.0: Best Practices and Case Studies." Information Systems Journal, vol. 28, no. 2, 2021, pp. 178-193.

Garcia, Juan C. "Data-driven Decision Making in the Digital Age: Implications for Business Performance." Journal of Management Information Systems, vol. 36, no. 3, 2018, pp. 321-336.

Patel, Sanjay. "Strategic Implications of Real-time Personalization: A Case Study of Netflix." Journal of Interactive Advertising, vol. 23, no. 2, 2020, pp. 87-102.

Brown, Michael S. "The Ethics of AI in Marketing: Challenges and Opportunities." Journal of Business Research, vol. 82, 2019, pp. 112-127.

Nguyen, Hoa T. "Predictive Analytics and Business Performance: Evidence from Industry Surveys." Journal of Business Forecasting, vol. 35, no. 4, 2021, pp. 212-227.

Kim, Min J. "Addressing Data Privacy Concerns: Strategies for Ensuring Compliance and Building Trust." Journal of Information Privacy, vol. 12, no. 1, 2020, pp. 45-60.

Patel, Deepak. "The Impact of AI on Customer Segmentation and Targeting: A Longitudinal Study." Journal of Marketing Research, vol. 45, no. 2, 2018, pp. 189-204.

Downloads

Published

10-11-2023

How to Cite

[1]
K. Mueller, “Navigating the Complexity of Customer Data Management: Integrating Big Data and AI for Effective Customer Segmentation and Targeting”, J. of Artificial Int. Research and App., vol. 3, no. 2, pp. 1–12, Nov. 2023, Accessed: Nov. 25, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/13

Similar Articles

111-120 of 205

You may also start an advanced similarity search for this article.