Data Strategy Consultant in Switzerland

Strategic Data Leadership for Swiss Businesses

Based in: Switzerland (Geneva, Zurich, Lausanne)

Expert data strategy consultant helping Swiss organizations define and execute their data vision. I provide executive-level guidance on data transformation, governance, analytics strategy, and AI adoption. Turn data into a strategic asset that drives competitive advantage.

Why Choose Me

8+ years experience in data strategy across industries

C-suite advisory and strategic planning

Experience with Swiss regulatory environment

Practical, actionable strategies that deliver ROI

Vendor-agnostic recommendations

Change management and organizational alignment

Data governance and compliance expertise

Track record of successful data transformations

Switzerland-based with global perspective

Services Offered

Data Vision & Roadmap

Define comprehensive data vision aligned with business strategy. Create phased roadmap with clear milestones, resource requirements, and expected outcomes.

Data Governance Framework

Establish data governance structures, policies, and processes. Define roles, responsibilities, and decision-making frameworks for data management.

AI & Analytics Strategy

Develop strategies for AI adoption and advanced analytics. Identify high-impact use cases, estimate ROI, and create implementation roadmap.

Data Organization Design

Design data teams and operating models. Define roles, skills, reporting structures, and ways of working for successful data organizations.

Data Platform Strategy

Strategy for modernizing data infrastructure. Evaluate technologies, define architecture principles, and plan migration paths.

Change Management

Drive organizational change for data transformation. Stakeholder engagement, training programs, and cultural initiatives for data-driven culture.

Frequently Asked Questions

What makes a good data strategy?

A good data strategy aligns with business objectives, is practical and achievable, has executive sponsorship, includes clear success metrics, and addresses people, process, and technology. It should drive real business value, not just implement technology.

How long does it take to develop a data strategy?

Comprehensive data strategy development typically takes 6-12 weeks, including stakeholder interviews, current state assessment, strategy formulation, and roadmap creation. Implementation can take 12-36 months depending on scope.

Do we need a data strategy if we're a small/medium business?

Yes! Even SMBs benefit from data strategy. It doesn't need to be as comprehensive as enterprise strategies, but having a clear data vision and roadmap prevents costly mistakes and ensures you're building the right foundation.

How do you ensure data strategy aligns with business strategy?

I start by deeply understanding your business strategy, objectives, and challenges. Then I work backward to identify how data can support those goals. Regular checkpoints with business leaders ensure ongoing alignment.

What's the ROI of data strategy consulting?

ROI comes from avoiding costly mistakes, prioritizing high-impact initiatives, accelerating time-to-value, and ensuring investments align with business needs. Clients typically see 3-5x return through better decision-making and operational efficiency.

Do you help with strategy implementation?

Absolutely! Strategy is only valuable if executed. I can stay involved during implementation as an advisor, help recruit and build your data team, or take hands-on implementation roles for specific projects.

Ready to Transform Your Data into a Strategic Asset?