forecasting
forecasting on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on forecasting in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around forecasting, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
How do you debug a forecasting model today when the error is quite bad?
Encountering unexpectedly poor forecast performance? Diagnosing the root cause goes beyond a single error score. Experienced practitioners systematically investigate discrepancies, often breaking down errors by key dimensions like customer, product, or time horizon. Many routinely build custom notebooks and visualizations to facilitate this analysis—a significant manual effort. We’re exploring common workflows used to pinpoint issues, potentially informing an open-source tool for streamlined forecast evaluation. See "What to consider when creating waterfall charts" for a related perspective on data visualization techniques.
Why Reddit Data Scientists Keep Saying Not To Use Prophet
A recurring sentiment within the Reddit data science community cautions against relying on Facebook’s Prophet for time series forecasting. This post explores why, presenting initial observations and a small experiment to understand the underlying concerns. While Prophet offers accessibility, the community often finds its limitations outweigh the benefits in more complex scenarios. For those seeking robust evaluation strategies to improve forecasting workflows, our article, "Structured Evaluation Pipelines to Improve Your AI Workflows," provides deeper insights.