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Beyond the Numbers: Building a Robust Forecast Monitoring Framework

Forecast accuracy is crucial for effective business planning, resource allocation and competitive advantage. However, generating forecasts is only the first step. A proactive and robust monitoring framework is essential for detecting drifts in data patterns, discovering the root causes of forecast error, and ensuring continuous model improvement.
Showcasing a Breuninger data science product as an example, this presentation outlines a practical and adaptable framework for building a system applicable to any forecasting scenario. We'll cover key elements, from defining accuracy and business-impact KPIs to establishing an automated alerting and escalation system.

Vorkenntnisse

This talk is for

Data professionals, including data consultants, data engineers, data analysts, and data control specialists, particularly those involved in model operations (MLOps), performance monitoring, and governance.
Individuals with experience in data analysis, statistical modeling, and familiarity with data visualization tools will benefit.

Lernziele

You'll learn how to integrate data from different measures, visualize forecast performance, and build a process that fosters collaboration and accountability.
Get to know how to not only measure forecast accuracy, but to actively drive improvements and mitigate risk across your organization.

Speaker

Andrés Romero Data Scientist Specialist at Breuninger, Andrés combines engineering, project management, and data science to deliver business-focused ML solutions. His work centers on developing models that drive measurable impact, with expertise in statistical modeling, machine learning, and translating data into business value.

Iris Hollick Head of Data Science at Breuninger, Iris leads strategic, high-impact data science initiatives. With a focus on innovation and sustainable integration, she empowers teams to unlock data’s full value, driving organizational transformation through strategic leadership and data-driven decision-making.

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