Centralized vs Decentralized Data Collaboration

Data collaboration comes in two flavors: Centralized and decentralized. Do you know the difference?

Centralized collaboration restricts use cases, risks consumer privacy through data sharing and commingling, and involves handing over control of your data to other parties.On the other hand, decentralized data collaboration maximizes performance, eliminates the need for data sharing, powers all use cases, and, most importantly, guarantees consumer privacy.

Learn more about InfoSum's Data Collaboration Platform here.