1. Develop strategy, target vision & roadmap
We analyze the status quo of your data landscape, develop a suitable target architecture and derive a roadmap with initiatives. In doing so, we also consider lifecycle management to ensure that Data & AI create long-term value – from planning to operations to optimization.
2. Identify use cases
Together, we identify the data & AI use cases that deliver the greatest business value and can be implemented efficiently. From brainstorming and evaluation to initial pilot projects, we ensure that every initiative contributes to the overall strategy.
3. Building competence
Without the right skills in your team, the potential of data and AI remains untapped. We help you build the necessary data and AI competencies – with expertise, best practices and organizational change management (OCM). This ensures that data and AI are firmly anchored in your corporate culture.
4. Establish governance
Clear rules are the basis for a safe and responsible use of data. We develop a governance model that takes both organizational and technical aspects into account – from authorization concepts and quality standards to compliance guidelines.
