Payment companies, Insurance companies, telcos, retailers and many other entities possess vast amounts of high-quality customer data and are open to exploring data monetization opportunities as well as to benefit from collaborating on data. However, they often face legal, security, and technical challenges that hinder their efforts. Integrating and dealing individually with multiple partners is time-consuming and difficult to scale. Conversely, businesses lacking access to high-quality data risk losing revenue and serving the wrong customers while turning away the right ones.

Trusted Twin connects these two sides in a secure, privacy-centric environment, enabling them to create data-driven partnerships unlocking increased revenue potential or preventing frauds.

Although the basic concept of Trusted Twin platform is to act as a global ecosystem open to integrations where Data Providers meet Data Users (https://trustedtwin.com), the Customer Data Marketplace can also be used in private applications, where a group of collaborating entities is limited and closed (e.g., holdings).

Private instance of the Trusted Twin Customer Data Marketplace should be considered as a common data layer dedicated for creating shared customer profiles built from data provided by multiple data owners while retaining ownership and control over visibility, access and use of their data.

Trusted Twin provides a complete solution to enable secure data collaboration within a group of partners, including:

• enterprise class data security and retention

• enterprise class system availability, scalability and reliability

• object based approach with support for shared ownership and dynamic object structure

• rule based data governance with high granularity

• support for storing any type of data, including static files of any size

• support for tracking data changes

• support for automated indexes and time series creation

• fast and reliable API for seamless system-to-system integrations

• fast data access for real-time applications and processes

• GDPR compliance support:

• Privacy Enhancing Technologies

• Consent management

• Data access traceability and logging