Swiss Statistical Design & Innovation
Trusted AI - Powerful Humans
Data & AI Strategy
OUR SERVICES
A data strategy is the foundation of any artificial intelligence or predictive analytics project. At Swiss-SDI, we help you build a clear, shared, and actionable vision, aligned with your organization's overall strategy.
We support both management and operational teams in reconciling field needs with strategic ambitions .
A clear data strategy, aligned with your business objectives
Where is your organization in its transition to a data-driven culture? We assess your practices, tools, and skills to provide an objective and constructive diagnosis.
We facilitate collaborative workshops with your teams and stakeholders to identify high-impact opportunities. Together, we define your priority use cases.
Once the priorities are clarified, we help you plan your projects over time: quick wins, resources, milestones, KPIs.
We support you in setting up a clear and effective data organization: roles, responsibilities, interactions between IT, business and data science.
Our data strategy services
Our methodological tools
Together , let's identify and prioritize your business opportunities.
Data Literacy
Promote understanding and ownership of data at all levels.
Opportunities - Use cases - Roadmap
Identify relevant use cases and plan them in a coherent manner.
Governance and organization
Structuring roles and interactions around data.
Infrastructure
To have a solid, scalable and secure technical foundation.
We support your operational teams and management committee members in aligning strategic vision with practical realities. We believe that an effective data strategy rests on four fundamental pillars:
Business Data Science Canvas
Our exclusive framework helps you effectively structure your analytical projects: business value, technical feasibility, data availability, and operational impact. It forms the basis of our rigorous and structured approach.
Data literacy-centered approach
We raise your employees' awareness of data issues: understanding the fundamentals, knowing how to ask the right questions, and interacting with experts. A shared data culture is the key to a successful strategy.
