We show you how taking a data-driven approach can help you identify the relevant leading indicators and improve forecast accuracy.
Examining the symbiosis between aluminum prices and the industry at large
The importance of selecting and testing the right leading indicators
Leveraging statistical forecasting to build robust, accurate forecasts
Many organizations depend on correlation for indicator selection. Find out why this is cause for concern, and we'll show you a better way to select your indicators.
Read moreExplore the common mistakes and fallacies in forecasting, and why Excel can only get you this far.
Read moreLearn how you can combine the best from econometrics and machine learning literature to improve forecast performance.
Read moreWhether your goal is to increase market share or safeguard against volatility,
the road to making decisions confidently lies in generating accurate forecasts you can trust.