Enhancing Data Quality in Master Data Management Systems: A Comparative Analysis of Approaches

Professor Emily Johnson

Abstract


This paper presents a comprehensive examination of methods aimed at improving data quality within Master Data Management (MDM) systems. Drawing upon a comparative analysis, we evaluate various approaches, including data profiling, cleansing, and standardization techniques. Our study highlights the importance of robust data quality practices in MDM systems and offers insights into selecting the most suitable methods for different organizational contexts. 

 


References


Pillai, S. E. V. S., & Polimetla, K. (2024, February). Analyzing the Impact of Quantum Cryptography on Network Security. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.

Pansara, Ronak. "Master Data Management Importance in Today's Organization." International Journal of Management (IJM)12.10 (2021).

Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). The Crucial Role of Data Quality in Automated Decision-Making Systems. International Journal of Management Education for Sustainable Development, 7(7), 1-22.

Smith, D. (2024). Leveraging Data Governance Frameworks for Sustainable Business Development. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 23-36.

Krishnamurthy, O. (2023). Genetic Algorithms, Data Analytics, and Its Applications, Cybersecurity: Verification Systems. International Transactions in Artificial Intelligence, 7(7), 1-25.

Johnson, E. (2023). Enhancing Network Security Through Quantum Cryptography: A Review of Recent Advancements. Journal of Cybersecurity and Information Management, 5(2), 78-92.

Oku, K., krishna Vaddy, R., Yada, A., & Batchu, R. K. (2024). Data Engineering Excellence: A Catalyst for Advanced Data Analytics in Modern Organizations. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-10.

Pansara, R. (2023). Seeding the Future by Exploring Innovation and Absorptive Capacity in Agriculture 4.0 and Agtechs. International Journal of Sustainable Development in Computing Science, 5(2), 46-59. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/347

Pansara, R. (2023). MDM Governance Framework in the Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.

Patel, S. (2023). Transforming Supply Chain Management Through Master Data Management: An Analysis of Best Practices. Journal of Supply Chain Innovation, 8(3), 110-125.

Pansara, R. (2023). From Fields to Factories: A Technological Odyssey in Agtech and Manufacturing. International Journal of Management Education for Sustainable Development, 6(6), 13-23.

Pansara, R. (2023). Navigating Data Management in the Cloud: Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 6(6), 57-66.

Pansara, R. (2023). Review & Analysis of Master Data Management in Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(3), 51-59.

Pansara, R. (2023). Unraveling the Complexities of Data Governance with Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 6(6), 46-56.

Lee, J. (2024). AI-Powered Predictive Maintenance Models for Supply Chain Optimization: A Comparative Analysis. International Journal of Supply Chain Management, 9(1), 45-58.

Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.

Kotagiri, A., & Yada, A. (2024). Crafting a Strong Anti-Fraud Defense: RPA, ML, and NLP Collaboration for resilience in US Finance’s. International Journal of Managment Education for Sustainable Development, 7(7), 1-15.

Kotagiri, A., & Yada, A. (2024). Improving Fraud Detection in Banking Systems: RPA and Advanced Analytics Strategies. International Journal of Machine Learning for Sustainable Development, 6(1), 1-20.

Yada, A. (2024). Predictive Policing: Assessing the Ethical Implications and Effectiveness Using Data Analytics. International Journal of Sustainable Development in Computing Science, 1(1), 1-17.

Oku, K., krishna Vaddy, R., Yada, A., & Batchu, R. K. (2024). DATA ENGINEERING EXCELLENCE: A CATALYST FOR ADVANCED DATA ANALYTICS IN MODERN ORGANIZATIONS. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-10.

Yada, A. (2023). Analyzing the Economic Impact of the COVID-19 Pandemic: Insights from Data Analytics. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-15.


Refbacks

  • There are currently no refbacks.