About the project with Zdaly
Statistical demand forecasting is essential for ensuring the long-term success of Holcim. It is used to better plan operations and analyse which areas have potential for future development. Demand forecasting is influenced by internal as well as external factors, which results in huge datasets and various algorithms needing to be deployed for tackling the complexity and volatility of the data.
Zdaly employs the largest precurated collection of world data trends and statistics which are mapped to the internal company datasets. That’s why, in order to enable better decision-making and predictive insights, Holcim Startup MAQER kicked off a pilot project with Zdaly to leverage its data intelligence solution, which unifies data science, machine learning and external data to simulate forecasting scenarios and streamline strategic decision making.
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