Agriculture, Data Science and Consumer Research: Some of Our Clients and How We Can Help
The agriculture industry is leaning more and more on big data to find solutions to the demand of a growing population, climate change, and urbanization. The output of America’s farms contributed $132.8 billion to the US Economy in 2017, which is expected to grow by 15% over the next ten years. Looking further out, the demand for food will double by 2050. There is an ever-increasing need to improve farm productivity and operations to meet this demand.
Data scientists can help solve this problem by using robust analytical tools to collect and analyze data to provide meaningful insights to agriculture businesses, cooperatives and associations/commissions. Predictive analytics and consumer research can help businesses and agricultural cooperatives prepare for market trends, assess performance, and increase productivity during every stage of the growing to the distribution process. There is no greater need than to assess the demand for various types of fruit and vegetables throughout the year and seasons.
Agriculture: Questions Data Science and Consumer Research Can Answer
How are planting and harvest schedules being affected by climate change?
How can we predict demand for certain fruits and vegetables before planting season?
How do Millennials compare to non-Millennials when it comes to producing purchases? Is there another “avocado” emerging?
What trends should we prepare for as the population and cities grow?
What messaging will resonate with adults so they will eat more fruits and vegetables? What will work with children and teens?
How can large farms position themselves in a market that is pushing for locally-grown foods?