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Life insurance is an essential financial product that provides protection and financial security to individuals and their families in the event of unforeseen circumstances such as death or disability. However, people's perception towards life insurance varies widely depending on their personal beliefs, experiences, and cultural backgrounds. Some individuals perceive life insurance as a necessary and valuable investment, providing peace of mind and security for their loved ones in the event of their untimely demise. Others may view life insurance as an unnecessary expense or a product only for the wealthy. Factors such as age, income, education, and cultural background can also influence people's perceptions of life insurance. For instance, younger individuals may perceive life insurance as less important, while older individuals may view it as a necessity. Similarly, people with lower incomes may see life insurance as unaffordable or a low priority compared to other financial needs. Overall, understanding people's perceptions towards life insurance is important for insurance companies to develop appropriate marketing strategies and products that meet the needs of different customer segments. It is also crucial for individuals to educate themselves about the benefits of life insurance and how it can provide financial security and peace of mind for themselves and their loved ones.

Database management has become an enormous tool for on-demand content distribution services, proffering required information and providing custom services to the user. Also plays a major role for the platforms to manage their data in such a way that data redundancy is minimized. This paper emphasizes improving the user experience for the platform by efficiently managing data. Keeping in mind all the new age requirements, especially after COVID-19 the sudden surge in subscription has led the stakeholders to try new things to lead the OTT market. Collection of shows being the root of the tree here, this paper improvises the currently existing branches via various tables and suggests some new features on how the data collected can be utilized for introducing new and much-required query results for the consumer.

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