From vision to reality: Building an AI-driven data strategy
A global food technology leader
The company specializes in the development and production of natural ingredients and color solutions for the food and beverage industry. With a strong focus on sustainability, innovation, and quality, the company operates across multiple continents, serving a diverse portfolio of international brands and manufacturers. Its expertise spans the entire value chain — from sourcing natural raw materials to delivering scientifically advanced, customer-specific solutions that enhance product appeal and nutritional value. By combining decades of R&D excellence with data-driven innovation, the company continues to redefine how natural food ingredients contribute to healthier, more sustainable consumption worldwide.
Establishing an AI-driven framework for data-led transformation
Delivering the foundation for AI-driven transformation
AI-driven data strategy blueprint
Comprehensive roadmap defining data, analytics, and AI transformation priorities.
Data governance and excellence framework
Established a unified governance model and clear data ownership structure.
AI and BI use-case portfolio
Identified, prioritized, and quantified business impact across departments.
Target data architecture design
Developed a scalable, cloud-based infrastructure supporting analytics and automation.
Execution and transformation roadmap
Defined a multi-year plan with seven key AI and data initiatives.
Change enablement and capability building
Empowered teams through training, tools, and best practices for sustainable adoption.
