Haystack’s unique data strategy matrix delivers a blueprint for achieving success with your data.
From basic regression to advanced Machine Learning, Haystack’s food Data Scientists can unlock possibilities.
Impactful, intuitive, and actionable dashboards and reports that empower users at all levels of your food business.
Fortify data foundations & reap the full benefits of the cloud with our data migration & management solutions.
Replace manual, repetitive business processes with automated workflows and bots that enhance efficiency.
Haystack’s Data Farmers understand the complex processes behind food production. Our tailored data solutions bring efficiency to land, livestock, and farm management.
Haystack helps food processors optimize operations, lower costs, and drive growth by gaining more control & value from their data.
Haystack helps food distributors leverage data from end-to-end operations to boost profitability, optimize supply chains, and satisfy their customers.
Learn more about our own transformative journey from harvesting mangoes to harvesting data insights and paving the way for the future of food & ag.
As a full-service data solutions provider and strategic advisor to Agri-Food businesses, we know how to activate the transformational power of data for mid-market and emerging food businesses.
Haystack brings together the deepest, broadest technology ecosystem with a vendor-neutral approach to help food organizations excel with all things data & analytics.
On this episode Pedro and Veronica talked about:
🎤 Haystack and what they are doing to help food producers, processors and distributors
🎤 Pedro’s career journey
🎤 What is “data” and how it is used in the food industry
🎤 Why he believes the food industry is slow to adopt digital technologies
🎤 Non-coding softwares
Sustainable food manufacturing requires that we focus on eliminating waste (not just scrap). A ‘win-win’ for the industry and the environment. Here’s how Data Science can be applied to 5 key areas of food manufacturing to improve sustainability.
Practical tips and insights on data strategy, data science, and analytics for the Agri-Food industry.
By the time you finish this piece, you will know how to properly import and prepare your data to predict demand for your food products without writing a single line of code.
In this post we will walk through the steps you need to install and configure the free KNIME no-code analytics platform to prepare your data for time series analysis.
Commercial bakeries offer the perfect use case for accurate demand forecasting in food manufacturing because of the perishable nature of baked goods.
Every food manufacturer can accurately predict product demand by designing and developing their own forecasting models using free, open-source no-code analytic tools.
Many organizations still struggle to get value from their data. There is a path forward and it starts with a solid data strategy that integrates code-free self-service analytics platforms to empower everyone with data.
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