Use-Case Lab Energy & Manufacturing – Business Models in the Data Ecosystem

Overview

Do you have data – but no robust business model yet? At the Use-Case-Lab, we work with your team to develop monetisable use cases and scalable roadmaps for the energy and manufacturing sectors. Building on experience from energy data-X and Factory-X, we analyse data and value streams, model robust data exchange processes and translate these into business cases that fit your context.

Fraunhofer IOSB-AST is actively involved in initiatives such as energy data X in the energy sector and Factory X in the manufacturing sector, which provide key impetus for modern data ecosystems. This means you benefit directly from our strategic and operational expertise.

Format: In-house workshop (scheduled on an individual basis)
Certificate: Certificate of attendance
Entry requirements: no prior technical knowledge required
Dates: by appointment
Duration/format: modular (typically 1–2 days, flexible)
Language: German or English
Entry fee: on request

Managers, strategists and innovation/business developers in energy and manufacturing companies who wish to commercially develop and responsibly operate data ecosystems.

Working closely with your team, we develop viable use cases and monetisation strategies within the cross-sectoral context of energy and manufacturing:

Use-case ideation: defining problems and benefits, prioritisation, success criteria
Data and value stream mapping across energy and production processes
Secure data exchange: roles, policies, governance, compliance
Business model design: revenue models, partner ecosystems, risk and maturity assessment
Roadmapping, including canvas templates (business case, stakeholders, implementation plan)

Using methodological guides and Canvas templates, you will create a bespoke Dataspace business case, which you can evaluate, refine and implement within your organisation during the workshop
Clarity & focus: concrete, evaluated use cases rather than abstract ideas
Time-to-value: aligned roadmaps and priorities for the next 3–6 months
Best-Practice-Transfer: Lessons Learned aus energy data-X und Factory-X
Team alignment: a shared understanding of the business model, roles and responsibilities