Accurate data is the cornerstone of an effective smart-touch forecasting setup, especially when incorporating hashtag#machinelearning.

In our new blog by Bregje van der Staak and Erik De Vos, we explore the critical role of data in building accurate models that drive performance.

Discover how the selection and quality of hashtag#demanddrivers — ranging from facts and plans to various indicators — enable these models to identify patterns and deliver accurate predictions. 📈

As the availability of structured data grows, understanding which data archetypes serve which purposes becomes essential.

→ Dive into our blog to learn more about harnessing the power of different data types in a smart-touch forecasting setup and take your demand planning strategy to new heights.

Learn more here: 🔗