Investigating Methods to Enhance Data Privacy in Business, Especially in sectors like Analytics and Finance DOI Creative Commons

Tanvir Rahman Akash,

Dennis J. Lessard,

Nayem Rahman Reza

и другие.

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(5), С. 143 - 151

Опубликована: Ноя. 30, 2024

In today’s digital era, the issue of data privacy remains one most burning concerns for companies, especially in such fields as analytics and finance which deal with collection processing big amounts clients’ sensitive information. The present study seeks to explore approaches that can be used improve privacy, a clear emphasis Differential Privacy, anonymization, Federated learning. They seek give individual handling use their while enabling organizations gain insights on data. research focuses influence laws, GDPR CCPA, defining enforcing requirements progressively impact organization’s operations. respect this, study, employs qualitative analysis case studies from industry, assesses applicability these minimizing risks breaches well enhancing consumer trust. Thus, indicates addition PETs regulation acts viable method increasing protection, still having cost implementation new technology terms money organizational change. Also, reveals there is always gap requires individuals adjust practice, threats, other changes regulations. conclusion this research, need adopt advanced tool business development should married safeguard privacy. This paper establishes optimization protective measures required advance protection scenarios regarding financial analytical information, recommending integration technologies concrete legal backing.

Язык: Английский

Investigating Methods to Enhance Data Privacy in Business, Especially in sectors like Analytics and Finance DOI Creative Commons

Tanvir Rahman Akash,

Dennis J. Lessard,

Nayem Rahman Reza

и другие.

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(5), С. 143 - 151

Опубликована: Ноя. 30, 2024

In today’s digital era, the issue of data privacy remains one most burning concerns for companies, especially in such fields as analytics and finance which deal with collection processing big amounts clients’ sensitive information. The present study seeks to explore approaches that can be used improve privacy, a clear emphasis Differential Privacy, anonymization, Federated learning. They seek give individual handling use their while enabling organizations gain insights on data. research focuses influence laws, GDPR CCPA, defining enforcing requirements progressively impact organization’s operations. respect this, study, employs qualitative analysis case studies from industry, assesses applicability these minimizing risks breaches well enhancing consumer trust. Thus, indicates addition PETs regulation acts viable method increasing protection, still having cost implementation new technology terms money organizational change. Also, reveals there is always gap requires individuals adjust practice, threats, other changes regulations. conclusion this research, need adopt advanced tool business development should married safeguard privacy. This paper establishes optimization protective measures required advance protection scenarios regarding financial analytical information, recommending integration technologies concrete legal backing.

Язык: Английский

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