Who loves cheese? Lots of people love cheese and it’s National Cheese Day here in the US. We’re showcasing a fun way to see predictive analytics in action, with Cheese of the Week. Cheese of the Week uses public search data, forecasted 52 weeks in advance from today (4 June 2019) to show when audiences in America are most interested in the different kinds of cheeses, based on how often a cheese is searched for. The darker a number’s background is and the bigger the number, the more interested they are.
In this predictive forecast, simply click to sort by week for what will be the most popular cheese that week:
Click the image to go to the interactive forecast.
If you were a Maître Fromager or a Certified Cheese Professional, you’d likely want to know what cheeses to focus on in your restaurant, winery, or your content marketing to ensure you were as relevant as possible every week. Sort the columns by cheese, then build an editorial calendar or a content calendar for every week of the next year.
Obviously, we could extend this forecast to nearly any industry, any vertical, even at smaller geographies. If you were a winery in Napa, you’d probably be most concerned about the greater San Francisco metropolitan area or the state of California. If you were a fast food franchise, you’d want separate forecasts for every region.
For now, enjoy the cheese forecast, try it out on our Tableau Public page, and as always, if you’d like help with building a forecast of your own, we’re happy to help.
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Trust Insights (trustinsights.ai) is one of the world's leading management consulting firms in artificial intelligence/AI, especially in the use of generative AI and AI in marketing. Trust Insights provides custom AI consultation, training, education, implementation, and deployment of classical regression AI, classification AI, and generative AI, especially large language models such as ChatGPT's GPT-4-omni, Google Gemini, and Anthropic Claude. Trust Insights provides analytics consulting, data science consulting, and AI consulting.
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