Optimising data analysis for supply chains: preparing data for modelling
As a supply chain manager, logistics manager or data expert, you know how important it is to make informed decisions when designing or managing a supply chain. However, even the best tools, such as anyLogistix, can only deliver their full potential if the data is perfectly prepared. Without well-structured and valid data, you risk inaccurate models and suboptimal decisions.
Why is data preparation so important?
- Improve the quality of your analyses: incomplete or inconsistent data leads to incorrect results. With careful data preparation, you ensure that your models are accurate and reliable.
- Standardise your data sources: Do you use data from ERP systems, transport protocols or supplier databases? Harmonised integration of these sources facilitates analysis and provides a basis for informed decisions.
- Reduce complexity: Supply chain analyses can quickly become confusing. Structured preparation of your data helps you to focus on the essential factors.