Designing for data ownership, control and regulatory compliance - for enterprises and individuals

Slides for this talk can be viewed here

Context

Traditionally, if you look at how companies are undertaking digital transformation, they have been using data from different sources. These companies use data for decision-making, for operational efficiencies, and also to launch new businesses. In the quest for data-enabled digital transformation, these companies have been collecting data from various sources, often leading to the aggregated data as being of poor quality. This sabotages digital investments, and also causes annoying intrusions for citizens as customers.

In this case study talk, Lal Chandran - co-founder and CTO at iGrant.io - explains how right data can be collated through lawful means, in a scalable manner (providing advanced personalization); and the data can be verifiable i.e., with authencity from trusted sources. iGrant.io is a B2B data exchange company, and acts as a data intermediary, providing right data as a service. Lal explains the model which enables data exchange - via consent management and verification services to adhere with the regulations, and using digital/data wallet which empowers the end user.
Lal also addresses the questions of risk mitigation, and the potential to reuse and monetize data in this case study.