Creating business value with trustworthy data and transparent & reliable analytics

Nowadays, many companies understand the power of data on their products and services. By intelligently exploiting data from their products, they are able to improve business operations & processes, enhance the design of their products and create service offerings complementing their existing products. This can only be achieved with trustworthy, qualitative and accurate data. Sirris wants to tackle the challenges by setting up a new project.

By intelligently exploiting data from their products, companies are able to improve business operations & processes, enhance the design of their products and create service offerings complementing their existing products. For instance, automotive and home appliance companies use collected data to improve design and operations of their products, while manufacturing companies are exploiting the data from their products to create services with high added value or to prove the efficiency and performance of their products. However, this can only be achieved with trustworthy, qualitative and accurate data.

Need for trustworthy data guarantees

Trustworthy data is required in most data analysis use cases, not only for distributed assets - where data are shared among different entities - but also for on-premise assets.

In order to create the highest possible business value from their data, organisations need to adopt the right set of methodologies and technologies to ensure that data has not been tampered with throughout its lifetime (from the moment of gathering, through processing until its dismissal) and hence ensure that it is trustworthy. To this end, several guarantees need to be present:
(1) data effectively originates from the sources it is supposed to originate from and accurately corresponds to the phenomena that were observed, (2) any processing done on the data does not tamper with the integrity of the data, is performed transparently and ensures that the insights extracted from that data are reliable, (3) both data integrity and the extracted insights are preserved when shared with stakeholders.

COOCK project ENTRUST

Sirris is preparing a new (COOCK) project to tackle these challenges: ENTRUST (Trust & transparency in data analytics). The present proposal focuses on developing the appropriate methodologies and technologies for ensuring trustworthy data and transparent and reliable data analytics covering the following aspects & technologies:

  • Dependable & trustworthy data sources
  • Preserve integrity of data & extracted insights when sharing with stakeholders
  • Reliability & trust in data analytics processes

For this, state-of-the-art and novel technologies will be explored, such as blockchain, data access control, cryptographic mechanisms and secure storage & communication. Additional activities will focus on the development of mechanisms allowing to control the processing of data transparently and ensuring that the extracted knowledge reflects the actual information in the data.

Data-driven business cases will be considered, such as data as the primary asset for generating revenue, and generated data that can be used to improve product and business operations. Active participation in the user group will be possible through company cases. Target for this user group are product builders who want to review and strengthen the integrity of the data flow in their system, solution providers who want to provide an extra level of trust & transparency to their data analytics processes, and companies in need of sharing trustworthy data.

Do you have a case that can be used as input to the proposal? Let us know. The deadline of the Vlaio COOCK call is 2 June 2020!