Host and orchestrate your own data ecosystem with a tailor-made data exchange platform that meets your business needs
With the explosive growth of data supply and demand, smart use of internal and external data is critical to maximize value creation by improving efficiency and productivity, generating direct and indirect revenue streams and increasing company value.
Data marketplaces accelerate and facilitate data circulation amongst many stakeholders, allowing them to source, distribute, commercialize and exchange data securely, in full compliance with regulations.
Gathering your community and orchestrating the circulation of your data ecosystem on a data marketplace will turn your digital capabilities into new business opportunities.
A tailor-made data marketplace provides the most secure and advanced digital environment to enable your community to fully engage in data exchanges and generate value. How can a data marketplace help your organization leverage the data potential of your ecosystem?
A comprehensive onboarding safeguarding trust
Flexible data sharing and data valorization
Sophisticated compliance and security features
Wide array of configuration, customization and white-labelling features
« By 2022, 35% of large organizations will be either sellers or buyers of data via formal online datamarketplaces up from 25% in 2020. »
There are different operating modes available on a Dawex Data Exchange Platform, depending on its objectives, its focus, the complexity and structure of the ecosystem or the sensitivity of the data exchanged.
Dawex Data Exchange technology provides 3 different operating modes: Managed, Distributed and Decentralized.
A data ecosystem or a data space is bound to evolve, to mature, and even to change objectives as new data potential is uncovered. This is why your organization needs a range of data exchange services that are adapted to its unique situation and challenges. Dawex provides a range of solutions that allows you to operate your data exchanges with flexibility in order to adjust with your data ecosystem requirements and data use cases.