Use Case 1
Valuation

The Technè pilot project led to the discovery of the Canadian data space Data‑Coop Culture, which has been successfully interconnecting media and cultural institutions for nearly three years. The underlying technology is French, and its infrastructure is replicable locally with servers hosted in France .

Goals

  • Improve knowledge of audiences, target markets and digital marketing performance of cultural institutions (ROI: engagement/visitors, conversions/ticket sales)
  • To enable them to regain control of their data assets, to use them and to measure them independently and sovereignly.
  • To comply with data protection laws (GDPR/ePrivacy), using consent management and portability tools
  • Interconnecting media outlets and advertising agencies directly, or through alliances.
  • Pooling cultural visitor audiences by discipline, behavior, interests or profiles (personas)
  • Train operators in best practices for data management and digital marketing
  • Providing decision‑making support for measurement and research for local cultural public policies

Concrete results

  • Programmatic performance
    Yield 10 times greater than industry standards
  • Ad conversion rates
    3 to 5 times greater than social media (Meta)
  • Costs per result Meta Ads
    20% lower with the shared audiences of the Data‑Coop Culture

Technè members participating in use case 1 will be able to access their metrics via a dedicated interface deployed by the French company D3C (Data Coop Concept Consortium). D3C brings together the expertise and technological know‑how of the three key players in the Data‑Coop Culture project: the media cooperative Culture Cible, the technology expertise center Technologies Oziom, and the software publisher Eulerian.

Founded by the three French‑Canadians who started the project, D3C brings together all the necessary forces to deploy a solid, high‑performance and easy‑to‑use infrastructure, based on French technology.

Use Case 2
Ticket Office

Ticketing software is well established in cultural institutions , but interfaces with the rest of the ecosystem are too few or poorly implemented compared to business needs . Several initiatives are emerging to develop APIs for managing heterogeneity, structuring data, and interconnecting different systems.

Goals

  • Improve mastery of dedicated tools, automatically create events without double entry (Ideactiv);
  • Optimize the deployed software (contact management, marketing, audience analysis...) (Stock Ticket, Korpus Ticket);
  • Compliance tool for the retention of personal data of audiences under GDPR/ePrivacy;
  • Improve data storage and standardization;
  • Provide a central ontology for operators to better understand and leverage their data;
  • Strengthening of the interface;
  • Structuring of reporting and statistics;
  • Centralization of ticketing management;
  • Automated transmission of declarative data.

Solutions

  • Stock Ticket : an interconnection solution developed by Festik, an innovative ticketing tool that simplifies the management of cultural and sporting events (festivals, shows, etc.).
  • Ideactiv : a solution enabling free promotion of events without data entry effort to media, communities and tourist offices, conversational robots like Perplexity, its application, as well as generating structured event metadata (schema.org type), or converting event data .

Use Case 3
Interconnection of interdataspaces

Technè can interconnect with other existing data spaces in a spirit of efficiency, frugality, and complementarity. This is particularly evident in the case of European cultural data spaces, as well as those related to tourism and education.

Goals

Technè aims to scale by way of interconnection with other data spaces (tourism, education, media) at both French and European levels.

The logic of interconnection is a frugal, efficient and effective approach that capitalizes on the strengths of existing systems to create new opportunities for members.

Data space tourism

The tourism data space has notably demonstrated the effectiveness of a cross‑sector alliance during the 2024 Olympic Games. For example, an athlete was able to plan their journey through sports facilities in France (train or plane, car, hotel, specific requests for disabled sports facilities taken into account throughout the value chain).

Such efficiency was made possible only by the interconnection enabled within the data space.