Optimizing talent management in creative industries: Theoretical insights into effective database utilization

Chinweizu Oham 1, * and Onyinye Gift Ejike 2

1 Independent Researcher; NY, USA.
2 The Velvet Expression, Lagos, Nigeria.
 
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 12(01), 176–184
Article DOI: 10.30574/msarr.2024.12.1.0171
Publication history: 
Received on 04 September 2024; revised on 13 October 2024; accepted on 15 October 2024
 
Abstract: 
This review paper explores the optimization of talent management in creative industries through the utilization of advanced database systems. Traditional talent management methods often lack the structure and objectivity provided by modern database-driven approaches, which leverage comprehensive talent profiles, advanced search algorithms, and robust analytics to enhance decision-making processes. Case studies from industry leaders like Pixar, Wieden+Kennedy, and Ubisoft illustrate the practical benefits of these technologies in recruitment, development, and overall talent optimization. The paper also discusses challenges such as data quality, privacy concerns, and resistance to change, providing practical recommendations for overcoming these obstacles. Creative industries can significantly improve their talent management practices by fostering a culture of data-driven decision-making and investing in comprehensive talent databases. Future research directions include the impact of AI and machine learning, integration of emerging technologies, and longitudinal studies on the effectiveness of database-driven approaches.
 
Keywords: 
Talent Management; Creative Industries; Database Utilization; Advanced Analytics; Recruitment Optimization
 
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