Brief description: 

AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM). It offers security and privacy preserving experience when selling or buying data, by having the full control over your data shared, to whom and for what purposes. AGORA offers to cross-sectorial Data Consumers, the possibility to search for more than 200 sensor signals, display advance visualization representations (Histograms, Geo-Histograms, Time Series) and retrieve those datasets in a seamless experience thanks to the open SDK-API created. Some real applications AGORA prototype collected data from 60 pilot vehicles of three different Data Providers (concretely Vehicle OEMs), which meant a total volume of 4.000.000 data packages indexed in the Marketplace. These data have been used by two cross-sectorial Data Consumers to create their data-driven services. AGORA functionalities include: - A wide data catalogue and delivery of statistics for Service Providers. - Discovery service of requested data and identification of data owners. - Management of permissions (future smart contract provision service) - Secure and reliable end-to-end communication (from the cloud to the Service Providers). - Transactions accounting. - Enabled through an open interface.

Main Features: 

- CIDM Catalogue: is an open and highly scalable big data format, designed to harmonize IoT proprietary data into brand-independent datasets. It contains an aggregated view of the different Signals and Measurement Channels prior to be transformed into defined Data packages. - Filtering and visualization: provision of a Dashboard where Data Consumers are in full control of the filters applied when looking for Cyber Physical Data. The solution enables easily search attending to attributes such as Signal type, Country location, Time period, etc. - Discovery (pull & push): in the Pull Data model the vehicle data is forwarded in response to a query from a service provider. In the Push Data model: a service provider is being notified when new data is available in the Marketplace in relation to a specific offer that was previously posted. - Representation: enables visualization mechanisms in term of graphics representations depending on the filtering attributes using a visual user interface based on a web application. - Offers Management: delivers an administration panel where Data Consumers could check and control at any time the published data Offers to monitor the data available and apply the required updates or modifications needed to their service. - Cloud storage: provision to OEMs of cloud service to send the vehicle data from Data Provider backends to the cloud infrastructures of the marketplace. It enables a fast indexing of the metadata when Data consumers search and publish offers. - Contracts management: provides mechanism where Data Consumers enforce commercial agreements among data collected from CPPs Providers and those CPP owners to transform afterwards into data-exchange contracts with specific conditions and services compensations. - Sensitive security framework: ensure that specific security policies are enforced so that access to data with specific policy enforcement. - SDK-API connection: offers to third parties, specially to SMEs, and SDK and API library to help those services providers interested in retrieving data that they can do without any technical constraint by plugging directly into their systems and collect data to build-up the data driven services.

Areas of Application: 

Connected vehicle, Smart Homes, Smart City, Cyber Physical Products

Market Trends and Opportunities: 

Described as the “New Oil” of the 21st century, data has the potential to shape economies around the world. Just for example, inside today’s vehicles ~4000 CAN-Bus signals/ sec are processed in comparison to very few signals in smartphones and similar devices. This large amount of continuously gathered vehicle data and smart homes represents major big data business potentials, not only for the automotive industry but in particular for cross-sectorial industries with interdisciplinary applications. With today’s proprietary approaches focusing on bringing services into vehicles and the applied ignorance of customer privacy concerns, this major business potential was still locked because the automotive industry was not yet able to establish an open service ecosystem equivalent to the ones in the smartphone industry.

Customer Benefits: 

1. Get today‘s state-of-the information: – Cheaper / ease of access – Improved coverage We are facilitating the access to the vehicle and home builiding data cheaper that currently enterprises are doing. 2. Get same information in higher: – Quality – Resolution – Freshness Based on the innovations applied to Data Providers backend systems and vehicle and home building data capturing combined and enriched with the internal knowledge of the Data Providers, we can produce the same information in higher; quality, resolution and freshness to boost the adoption from cross-sectorial industries. 3. New services based on additional information As we have pointed out, the information will allow to third parties to enhance their current product and service portfolio adapting the features and deployment of them taking into the account the specific inter-est of the vehicle drivers offering ad-hoc solutions that improves in multiple areas the driving experience. As well some important aspects from data owners perspective: - Users are fully aware about how their data is being transmitted through the different parts of AutoMat Marketplace. - Users have the total control about the subscriptions they signed with SPs so they can withdraw at any time their data sharing sub-scription. - Data anonymization aspects are handling to remove personal identification of the data assets generated by users in order to preserve their privacy.

Platform / Framework


Germán Herrero
BDVA member
BDV Reference categories: 
Data Analytics
Data Visualisation and Interaction
Financial and insurance activities
Information Service activities
Safety and Security
Transport, storage and logistics
Urban Mobility
Readiness Level: 
Data-sharing; Data-marketplace; Data-as-a-Service;