Revolutionizing Consumer Data Analysis: The Development and Impact of a Unique Customer Identifier

  IJCTT-book-cover
 
         
 
© 2023 by IJCTT Journal
Volume-71 Issue-12
Year of Publication : 2023
Authors : Kaushikkumar Patel
DOI :  10.14445/22312803/IJCTT-V71I12P111

How to Cite?

Kaushikkumar Patel, "Revolutionizing Consumer Data Analysis: The Development and Impact of a Unique Customer Identifier," International Journal of Computer Trends and Technology, vol. 71, no. 12, pp. 61-74, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I12P111

Abstract
This paper introduces the Unique Customer Identifier (UCI) system, a significant innovation in financial data analysis that effectively balances the need for data utility with privacy concerns. Developed initially in the United States and later extended to international markets like the UK and Australia, the UCI system employs advanced one-way encryption techniques to convert sensitive Personally Identifiable Information (PII) into anonymized yet unique identifiers. This transformation allows financial institutions to securely link consumer data across various platforms without compromising individual privacy. The system not only adheres to international data protection standards but also enhances the accuracy and depth of financial market analysis, offering new insights into consumer behavior and trends. The paper delves into the development, methodology, and impact of the UCI system, highlighting its role in reshaping financial data analysis and its potential implications for future data privacy and consumer insights strategies.

Keywords
Unique Customer Identifier (UCI), Financial Data Analysis, Personally Identifiable Information (PII), Data Privacy, One-Way Encryption Techniques, Consumer Behavior Analysis, Data Security Standards, Market Trend Insights, International Data Protection Compliance, Anonymization of Financial Data.

Reference

[1] Suzie Noh, Eric C. So, and Christina Zhu, “Financial Reporting and Consumer Behavior,” Jacobs Levy Equity Management Center for Quantitative Financial Research Paper, pp. 1-51, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Stacy-Ann Elvy, “Commodifying Consumer Data in the Era of the Internet of Things,” Boston College Law Review, vol. 59, pp. 1-423, 2018.
[Google Scholar] [Publisher Link]
[3] L.C. Thomas, “Consumer Finance: Challenges for Operational Research,” Journal of the Operational Research Society, vol. 61, no. 1, pp. 41-52, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[4] “The General Data Protection Regulation (GDPR),” Intersoft Consulting, pp. 1-40, 2019.
[Google Scholar] [Publisher Link]
[5] Mark A. Rothstein, Stacey A. Tovino, “California Takes the Lead on Data Privacy Law,” Hastings Center Report, vol. 49, no. 5, pp. 4-5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[6] David Zetoony, “Navigating the Chaos of the CCPA: The Most Frequently Asked Questions When Implementing Privacy Programs,” The Loyola Journal of Regulatory Compliance, no. 8, pp. 1-18, 2022.
[Google Scholar] [Publisher Link]
[7] Harding Elizabeth Liz et al., “Understanding the Scope and Impact of the California Consumer Privacy Act of 2018,” Journal of Data Protection and Privacy, vol. 2, no. 3, pp. 234-253, 2019.
[Google Scholar] [Publisher Link]
[8] Kire Jakimoski, “Security Techniques for Data Protection in Cloud Computing,” International Journal of Grid and Distributed Computing, vol. 9, no. 1, pp. 49-56, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Pierangela Samarati, and Sabrina De Capitani di Vimercati, “Data Protection in Outsourcing Scenarios: Issues and Directions,” Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security, pp. 1-14, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Brian Green, and Mark Bide, Unique Identifiers: A Brief Introduction, pp. 1-11, 1999.
[Google Scholar] [Publisher Link]
[11] Rahul Singh Kushwaha, and Qaim Mehdi Rizvi, “Exploring Modern Cryptography: A Comprehensive Guide to Techniques and applications,” International Research Journal of Modernization in Engineering Technology and Science, vol. 5, no. 5, pp. 1-9, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Raphael Max, Alexander Kriebitz, and Christian Von Websky, Ethical Considerations About the Implications of Artificial Intelligence in Finance, Handbook on Ethics in Finance, pp. 577-592, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Sebnem Kalemli-Ozcan, Elias Papaioannou, and José-Luis Peydró, “Financial Regulation, Financial Globalization, and the Synchronization of Economic Activity,” The Journal of Finance, vol. 68, no. 3, pp. 1179-1228, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Douglas W. Arner, Janos Barberis, and Ross P. Buckley, “FinTech, RegTech, and the Reconceptualization of Financial Regulation,” Northwestern Journal of International Law and Business, vol. 37, no, 3, pp. 1-371, 2016.
[Google Scholar] [Publisher Link]
[15] Manju Kunwar, “Artificial Intelligence in Finance: Understanding How Automation and Machine Learning is Transforming the Financial Industry,” Universities of Applied Sciences, pp. 1-45, 2019.
[Google Scholar] [Publisher Link]
[16] T. Robert Yu, and Xuehu Song, Big Data and Artificial Intelligence in the Banking Industry, Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning, pp. 4025-4041, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Unnati Narang, and Fernando Luco, “Tracking Consumers: The Trade-Off between the Value of Granular Data and Consumers' Privacy,” The Social Science Research Network, pp. 1-39, 2022.
[Google Scholar] [Publisher Link]
[18] Abdul Majeed, and Sungchang Lee, “Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey,” IEEE Access, vol. 9, pp. 8512-8545, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Marco Fiore et al., “Privacy in Trajectory Micro-Data Publishing: A Survey,” Transactions on Data Privacy, vol. 13, pp. 91-149, 2020.
[Google Scholar] [Publisher Link]