
What is data quality and why do companies need to pay close attention to it?
Inaccurate data entails problems and costs. We explain what data quality is and how good your data should be.

Almost every planning decision in a supply chain starts with an assumption about future demand. Purchasing volumes, production schedules, and safety stock all build directly on it. Demand forecasting is the discipline that puts this assumption on a data foundation. This article covers how it works, which methods have proven themselves, and where things get difficult in practice.
These posts from recent years have been exceptional: they have sparked discussions, encouraged reflection, and helped readers. Here is a hand-picked selection of the best of the pacemaker.ai blog for you:
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