Use Cases
B2B Data Collaboration Use Cases
Here are four typical applications, or conventional use cases, that Omnisient supports:
1. PARTNERSHIPS
Business need: explore the size of opportunity and synergy with a potential partner, without risk.
Solution: Omnisient’s platform eliminates two major risk factors – Consent and Breach Risks – to maximise insights.
2. DATA MONETISATION
Business need: understand the potential revenue streams that can be unlocked by monetising our robust datasets.
Solution: Omnisient removes the challenges and risk issues of the past and streamlines the process from exploration to revenue-realisation.
3. SECURE DATA EXCHANGE
Business need: data-exchange agreements with partners, sister companies or credit bureaus for commercial purposes
Solution: Our Data Collaboration Platform mitigates the risk of data breaches by never exposing personal information to another party.
4. ALTERNATIVE DATA STRATEGY
Business need: gain competitive advantage through alternative data – but how best to identify, onboard and test the value of these potential datasets, without compromising personal privacy?
Solution: our Platform’s privacy-preserving infrastructure has been designed to solve all of these problems
1. PARTNERSHIPS
Business need: explore the size of opportunity and synergy with a potential partner, without risk.
Solution: Omnisient’s platform eliminates two major risk factors – Consent and Breach Risks – to maximise insights.
2. DATA MONETISATION
Business need: understand the potential revenue streams that can be unlocked by monetising our robust datasets.
Solution: Omnisient removes the challenges and risk issues of the past and streamlines the process from exploration to revenue-realisation.
3. SECURE DATA EXCHANGE
Business need: data-exchange agreements with partners, sister companies or credit bureaus for commercial purposes
Solution: Our Data Collaboration Platform mitigates the risk of data breaches by never exposing personal information to another party.
4. ALTERNATIVE DATA STRATEGY
Business need: gain competitive advantage through alternative data – but how best to identify, onboard and test the value of these potential datasets, without compromising personal privacy?
Solution: our Platform’s privacy-preserving infrastructure has been designed to solve all of these problems
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