Meet DACAPEDA – A project that allows organizations to process personal data without having to access or collect it on their systems based on the user’s consent through the “Data Cage”. Learn more from this interview with Frederic Lebeau.
Can you briefly introduce yourself and your team?
Datavillage was founded on the belief that data must be reusable while remaining under the control of organisations and individuals at all times. Datavillage is a team of 6 people, 2.5 of whom focus on the business and 3.5 on the technical aspects.
Quentin, co-founder with a background as entrepreneur and in charge of business development and marketing aspects. Philippe the tech lead withmore than 20 years of experience in open data and semantics technologies. Loic in charge of data engineering and data science aspects with 10 years of experience and former big data lead at CERN, Justin full stack developer with 5 years of experience in enterprise application development and Ruben with 6 years of experience and lead business developer specialised in data value and data governance. Finally, myself Frederic Lebeau co-founder at Datavillage with 20 years of experience in the financial industry working on enterprise software development, architecture, innovation and cyber security. At Datavillage I’m in charge of product, market positioning and architecture..
What is your motivation to work in the data portability field?
Access to data can be a very powerful tool, both in the positive and the negative sense. We believe that data can play a tremendous role in understanding how to improve certain critical domains of people’s daily lives such as mobility, financial management, lifelong learning, moving from sick care to healthcare, etc. The data economy must be oriented towards value creation that is open and inclusive. We strive for our technology to benefit not just our company, but real people and society as a whole.
In simple words, what challenges does your project address?
Today, data is locked and duplicated in organisations’ silos, and there is an increasing need to move that data beyond those silos. This is not about transferring data neither buying or selling data. It’s about collaboration. Collaboration on the data but also on the algorithms. Typical use cases are about collaboration between local frenemies in the media industry for market analysis or collaborative fraud detection in the banking industry or adaptive car insurance from car data. How to enable such collaboration while managing data regulations and ensuring privacy with intellectual property?
What solution are you developing?
This is about “sharing without showing”.
Through our zero-trust collaboration platform, organizations and individuals can pool their data and algorithms to access new insights without the need to trust anyone, even Datavillage. Organizations and individuals can share data without fear of it being misused or of losing their competitive advantages. Organizations benefit from our product by being able to enrich algorithms and AI capabilities, access and process sensitive data with other parties. According to Gartner, the organizations that promote data sharing will outperform their peers in most business metrics.
Datavillage is unique on 3 aspects:
- implementation of the data collaboration process as an embeddable capability with existing enterprise data platforms via APIs
- the ability to connect data and consent of individuals via PIMS (personal information management system) technology such as SOLID
- high interoperability with semantic linked data and it relies on open standards to connect with other capabilities
What are the next steps?
Until the end of the year, we will continue to shape a first stable version of our Zero-Trust Data Collaboration platform based on confidential computing.
We also explore different use cases across multiple industries such as finance and media with a lot of interest from multiple companies in the opportunities of sharing data (and algorithms) without showing it.