Transforming Customer Experience and Operations with Modern Master Data Management |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-2 |
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| Year of Publication : 2024 | ||
| Authors : Shantanu Indra | ||
| DOI : 10.14445/22312803/IJCTT-V72I2P103 | ||
How to Cite?
Shantanu Indra, "Transforming Customer Experience and Operations with Modern Master Data Management," International Journal of Computer Trends and Technology, vol. 72, no. 2, pp. 16-21, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I2P103
Abstract
This research investigates modern Master Data Management implementation as a tactical remedy to better customer experience and shorten the time of resolution in business operations. The focus of this empirical research is to investigate the problems in areas of customer satisfaction and response time that are predominantly focused on data management practices. The study adopts an integrated approach, which is combined with a literature review, case analyses, and analysis of modern MDM implementation practices. The critical results reveal how the contemporary MDM changes customer satisfaction and time to resolution. Modern MDM technologies and approaches ensure that data is accurate, up-to-date, and consistent so companies can offer hyper-personalized customer experience. The analysis underscores how contemporary MDM organizations show improvements in data quality, which leads to effective issue-resolution processes. The paper concludes that the integrated modern MDM practice should be strategically adopted for effective realization not only to address apparent challenges in data management but also to enable the timely attainment of improved operational efficiency and customer orientation. This study will be useful for businesses interested in using modern MDM technologies to achieve the best customer experience and prompt solutions on issues arising from such a dynamic article of data decision-making like never before.
Keywords
Modern Master Data Management, Customer satisfaction, Data Governance, Artificial Intelligence, Machine Learning.
Reference
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