Oluwatomisin Olawale Fowowe
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Oluwatomisin Olawale Fowowe's research centers on leveraging predictive analytics and machine learning within business contexts. His work investigates the application of these technologies for proactive decision-making and fostering innovation, particularly in areas such as customer churn prediction across various industries in the United States market. Fowowe has published research on integrating machine learning into business analytics consulting, aiming to enhance strategic approaches and outcomes.
His scholarly contributions include three publications to date, with a total of 36 citations. Fowowe's current h-index is 2, indicating a developing research profile. His most recent publication is from 2025, demonstrating recent activity in his field.
Metrics
- h-index: 2
- Publications: 3
- Citations: 36
Selected Publications
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Leveraging Predictive Analytics for Customer Churn: A Cross-Industry Approach in the US Market (2025)
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Leveraging Predictive Analytics for Customer Churn: A Cross-Industry Approach in the US Market (2025)
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Integrating machine learning in business analytics consulting for proactive decision-making and innovation (2025)
Collaboration Network
Top Collaborators
- Leveraging Predictive Analytics for Customer Churn: A Cross-Industry Approach in the US Market
- Integrating machine learning in business analytics consulting for proactive decision-making and innovation
- Leveraging Predictive Analytics for Customer Churn: A Cross-Industry Approach in the US Market
- Integrating machine learning in business analytics consulting for proactive decision-making and innovation
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