Real-life applications of the Value Creation Wheel

Business Applications of VCW

VCW 4 F6A: Precision Agriculture Insights

F6A uses the Value Creation Wheel to identify a niche market for its service, which helps agricultural consultants improve crop yields via early stress detection.

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VCW for NextLand: Reaching 10% of the Italian Agriculture Market

This project focuses on developing a go-to-market strategy for NextLand to capture 10% of the Italian agriculture market by 2022, utilizing the Innovation Value Creation Wheel (VCW) framework, with a focus on public authorities as clients.

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VCW for NextLand: Providing Relevant Data to the Forestry Industry

This project explores how NextLand can leverage Earth observation data to provide valuable services to actors in the forestry industry who are already investing in R&D, utilizing the Value Creation Wheel (VCW) framework.

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VCW 4 NextLand: Real-time Tree Health Monitoring

This project utilizes the Value Creation Wheel (VCW) framework to develop a solution for forestry associations that lack information to fully understand tree diseases. The result is Health for Trees, a platform that provides real-time information about tree health using satellite images.

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VCW 4 ATA: Wildfire Mitigation in the Electrical Supply Industry

This project utilizes the Value Creation Wheel (VCW) framework to determine the most attractive geographical market for ATA, a startup offering wildfire mitigation services powered by Earth Observation (EO) technology.

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VCW for C3A: Sustainable Agriculture

C3A provides understandable Earth Observation reports for agriculture in New South Wales. Enhance water efficiency and contribute to sustainable food production.

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VCW 4 Nextland: Empowering Agriculture Through Data

This project aimed to develop a comprehensive solution for agricultural associations using the VCW framework. The team analyzed market needs, identified key stakeholders, and formulated a digital platform and educational program. The process involved extensive market research, stakeholder interviews, and iterative refinement, resulting in a solution designed to enhance production optimization and risk transparency for farmers.

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