Matt Kurtzman, a seasoned data scientist and founder of Canold, is an expert in predictive modeling and data visualization focusing on the cannabis industry. With a formal education in supply chain management and accounting from Northeastern University, a lean six sigma black belt certification from Staples, and management consulting experience from Boston Consulting Group, Matt and his team at Canold solve challenges around data modeling and analytics specific to cannabis. Seed to sale software is non-intuitive and offers limited and rigid reporting capabilities. By creating meaningful insight from complex data, Canold enables senior leaders to make fact-based decisions about their businesses, improve sales, maximize yields, and reduce waste. Matt and his team leverage predictive analytics, data modeling, business intelligence and custom cloud-based software solutions across all cannabis verticals including cultivation, processing, wholesale, delivery, customer and retail.
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Matt Kurtzman, a seasoned data scientist and founder of Canold, is an expert in predictive modeling and data visualization focusing on the cannabis industry. With a formal education in supply chain management and accounting from Northeastern University, a lean six sigma black belt certification from Staples, and management consulting experience from Boston Consulting Group, Matt and his team at Canold solve challenges around data modeling and analytics specific to cannabis. Seed to sale software is non-intuitive and offers limited and rigid reporting capabilities. By creating meaningful insight from complex data, Canold enables senior leaders to make fact-based decisions about their businesses, improve sales, maximize yields, and reduce waste. Matt and his team leverage predictive analytics, data modeling, business intelligence and custom cloud-based software solutions across all cannabis verticals including cultivation, processing, wholesale, delivery, customer and retail.

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