Sun World International is a global leader in fruit genetics, breeding, and licensing, partnering with growers and marketers worldwide to bring premium fruit varieties to market. As the business expanded internationally and introduced new commercial models, its operations generated massive volumes of product, varietal, customer, and commercial data. To stay competitive, Sun World needed a unified way to manage and govern this critical information across global teams.

To support global expansion, improve data quality, and enable advanced analytics, Sun World set out to modernize how customer, product, variety, and commercial data were managed across the enterprise.

Centralize master data

Unify customer, product, varietal, and commercial entities from siloed systems into one governed platform.

Improve data quality and governance

Clean, enhance, and standardize data to strengthen decision-making and accuracy.

Support forecasting and revenue analytics

Improve the structure and quality of product attributes and commercial data.

Enable global scalability

Empower teams to adapt quickly in a complex and constantly changing environment.

Prepare for AI and predictive modeling

Establish a future-ready foundation for next-generation analytics.

To transform its data management model, Sun World partnered with Semarchy to deploy the Semarchy Data Platform as a centralized hub for global customer, product, and commercial data.

Implementation highlights:

• Unified master data across customer, product, variety, and commercial domains in a single governed structure.
• Launched a new data platform focused on cleaning and enhancing Sun World’s core operational data.
• Established robust governance models for ownership, lineage, and regulatory alignment.
• Integrated identifiers across global systems, including CRM, product development, and commercial operations.
• Adopted a scalable architecture designed to support predictive analytics, AI, and future innovation.

By implementing Semarchy, Sun World created a sustainable, governed data foundation that supports long-term scalability, operational efficiency, and next-generation analytics.

Key outcomes:

• Centralized global customer, product, varietal, and commercial data into a single governed hub.
• Improved data quality through systematic cleaning and enhancement initiatives.
• Strengthened forecasting and revenue analytics with more accurate, standardized product attributes.
• Enhanced governance and traceability to support compliance and internal transparency.
• Built a future-ready data foundation designed for global expansion and AI-driven decision-making.