Use Case Identification & Prioritization
Together with our clients, we identify organization-specific use cases and evaluate their business impact and feasibility.

We help companies structure their data initiatives, make business impact visible, and develop use cases that create real value — for processes, products, and business models.
We bring structure to data initiatives and help develop strategically valuable use cases for data and AI. Our approach combines business impact with technical feasibility — ensuring that ideas become actionable projects that deliver real value.
Together with our clients, we identify organization-specific use cases and evaluate their business impact and feasibility.
We document use cases in a structured way, define clear requirements, and create a shared understanding of goals and value.
We develop a prioritized list of use cases and provide a concrete roadmap for piloting and implementation.

Discover which data and AI use cases create real value in your organization. Our starter package helps you identify and prioritize strategically relevant use cases — and take the first concrete steps toward implementation.
We help structure the multitude of potential data initiatives and focus on the truly relevant use cases. This saves resources and prevents aimless activity without tangible value.
Our systematic methodology ensures that use cases are developed and prioritized based on clear business objectives and measurable value — creating a solid foundation for decision-making.
With data-driven use cases, you strengthen your organization’s capacity for innovation and differentiation in the market. New services, products, and processes emerge strategically — not by chance.
We bring together business, data & analytics, IT, and management — enabling strategically valuable results and fostering greater acceptance across the organization.
We don’t start with technology — we start with business impact. Our methodology connects business requirements with technical feasibility, resulting in real use cases rather than unused dashboards.
We usually begin with interviews and workshops to collect potential use cases. These are then prioritized and detailed, followed by the development of a roadmap for piloting and implementation.
Typically, the business units with specific needs, data & analytics teams, IT, and management. The key is bringing together business expertise and data know-how to ensure meaningful, actionable outcomes.