WHAT’S POSSIBLE FOR DIGITAL BANKS
Capture value faster from Day One through advanced customer intelligence
New Digital Banks are being created by a diverse set of industry leaders with captive customer relationships from brands across banking, retail, telco, super apps, lifestyle, gaming and more. These new Digital Banks are meant to reap the benefits of their unique customer insights by being data driven, personalising customer experiences and implementing the latest Fintech solutions.
Effectively preparing for Day One of the Digital Bank operations requires understanding of common customers and customer analytics, but this is challenged by complex IT infrastructure, regulatory constraints on data sharing and lack of legal frameworks.
Without the ability to mine confidential data assets between consortium or joint venture members, rich customer intelligence is unavailable and limits the Digital Bank’s potential and competitive advantage.
Digital Banks need a secure Data Sandbox to enable customer intelligence before Day One and to support new partnerships in the future.
CONNECT DATA, TECHNOLOGY AND CAPABILITIES
A Data Sandbox for Data-Driven Digital Bank
Data Republic’s Data Sandbox provides the critical data collaboration layer needed to increase the scope of questions that can be answered before the Digital Bank is launched.
Data Republic’s secure technology provides governance workflows, privacy preserving customer matching, common legal frameworks, data license agreements and secure analytics workspaces. Data Republic provides the critical collaboration layer to enable secure, privacy preserving data partnerships between consortium / joint venture members and Fintechs solutions.
Data Sandbox Use Cases
Joint Data Innovation Sandbox
Collaborate with consortium / JV partners and fintechs, including AI and ML technologies, for advanced intelligence and insights.
Overlap Suppression List
Conduct privacy-preserving matching with partner organizations to better define suppression audiences based on joint-customer status or behaviours.
Customer Segmentation Discovery
Match anonymized datasets with partner organizations to understand audience behaviours, enrich data with new attributes and measure impact.
Safely apply 2nd party data to complete ‘data gaps’ in business or market insight, enriching customer data with new attributes.