Transforming Zero-party data into Better Business

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Transforming Zero-party data into Better Business

Zero-party data aggregation and management are indispensable for delivering scalable and Privacy-compliant Business Intelligence – with consumers and brands mutually deciding the mode and magnitude of consumers’  “Personal Data Share-set”.  Organizations who are fundamentally structured to ‘operate and deliver’ in the absence of 3rd party cookies will gain the trust of consumers and investors  alike.

Delivering a unified and consent driven customer profile to the financial institutions multiplies the positive engagement across the full spectrum of modern fintech ecosystem ….

Digital payments and e-money  ~ International Remittances ~ Personal and business loans Peer-to ~ Peer (P2P) lending platforms ~ Crowdfunding platforms ~ Robo-advisors ~ Cryptocurrencies

Leveraging the zero-party data for accurate AI models is the next step towards a mature cookie-less data realm. The integrity and transparency of AI models, including how data is managed through the process, is critical to their adoption – both by the brands as well as the consumers.

Zero-party data aggregation and management are indispensable for delivering scalable and Privacy-compliant Business Intelligence – with consumers and brands mutually deciding the mode and magnitude of consumers’  “Personal Data Share-set”.  Organizations who are fundamentally structured to ‘operate and deliver’ in the absence of 3rd party cookies will gain the trust of consumers and investors  alike.

Delivering a unified and consent driven customer profile to the financial institutions multiplies the positive engagement across the full spectrum of modern fintech ecosystem ….

Digital payments and e-money  ~ International Remittances ~ Personal and business loans Peer-to ~ Peer (P2P) lending platforms ~ Crowdfunding platforms ~ Robo-advisors ~ Cryptocurrencies

Leveraging the zero-party data for accurate AI models is the next step towards a mature cookie-less data realm. The integrity and transparency of AI models, including how data is managed through the process, is critical to their adoption – both by the brands as well as the consumers.

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