International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
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Volume 8 Issue 2
March-April 2026

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(Predictive Modelling for Resilient Business Strategy: A Case Study of Netflix)

Author(s) Ms. Riya
Country India
Abstract In the digital economy, companies are increasingly utilizing predictive analytics to improve decision-making and stay competitive. Predictive modelling allows businesses to examine past data and anticipate future trends, helping them adjust to market fluctuations and changing customer tastes. This research explores the significance of predictive modelling in crafting a robust business strategy, using Netflix as a case example. Netflix is well-known for its data-oriented strategy in the worldwide streaming sector, where predictive analytics enhances content suggestions, anticipates demand, and minimizes customer churn.
The study utilizes a qualitative case study methodology grounded in secondary data sources, such as scholarly articles, industry analyses, and publicly accessible corporate information. The research examines Netflix's use of predictive analytics techniques, including recommendation systems, churn prediction models, and forecasting content demand. Results show that predictive modelling is essential in bolstering Netflix’s strategic flexibility, increasing customer interaction, and boosting operational effectiveness. The research determines that predictive analytics is a crucial facilitator of robust business strategies, especially in industries reliant on digital platforms
Keywords Predictive Analytics, Predictive Modelling, Business Strategy, Digital Platforms, Recommendation Systems, Netflix.
Field Business Administration
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-05
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E-ISSN 2582-2160
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