Forecasting with foresight: Reliable forecasts based on external market data
.png)
How to Effectively Use External Market Data for Your Forecasting
External indicators have long been recognized as the key to better forecasting. But in practice, it often remains just theory: Which data is truly relevant? How can it be meaningfully analyzed? And how is it actually integrated into operational forecasts?
Together with Board, we will demonstrate in a webinar on June 11, 2026, at 10 a.m., how external market signals can be transformed into reliable forecasts. Board Foresight and the celver Forecasting Framework bridge the gap between strategic market indicators and daily planning practices.
The focus of the webinar:
- Structured Use of External Data: How Board Foresight identifies and evaluates relevant external factors and incorporates them into forecasts.
- From Strategic to Operational Forecasts: How strategic market data is translated into customized, operational forecasts using the celver Forecasting Framework.
- More accurate forecast results: A combination of customer-specific sales history and external market data for higher forecast quality.
- Live Demo: Practical Insights – From Identifying External Data to Integrated Forecasts in Board.
This webinar is designed for all planning and supply chain professionals who wantto optimize theirforecasting processes and make them future-proof. Learn how to systematically incorporate external market influences into your planning—and how this leads to reliable, actionable forecasts.
Sounds exciting? Then register now for the free webinar:
Speaker
.png)
Janek Kapahnke has been developing planning and analysis solutions with customers from various industries for over 5 years. Today, he is responsible for the area of supply chain management and focuses on innovative solutions for current challenges in supply chain planning.
Denis Cobanoglu advises companies on the introduction and strategic use of the Board Enterprise Planning Platform. He supports customers from the definition of technical requirements to the successful implementation of data-driven decision-making processes. Thanks to his many years of experience in the BI and analytics field, he combines in-depth product knowledge with a clear business focus and practical use cases.
