about the white paper
Our latest white paper explores how Analysts and Data Teams can leverage advanced modeling techniques and tools to more effectively integrate alternative data into KPI forecasting.
🔍 Inside, you’ll learn:
- Why modeling KPIs like revenue directly leads to inconsistent, fragile forecasts
- How to build component-based models grounded in business fundamentals
- How modern tools like Exabel make rigorous modeling scalable and accessible
- Real-world results from a DoorDash case study (MAPE down to 1.3%)
author bio
Gene Gallagher brings extensive experience in research and alternative data. He joined Exabel from YipitData, a leading provider of alternative data research, where he served as Associate Director of Research. Now Director of Research at Exabel, Gene has spent the past seven years leveraging alternative data and partnering with both buy-side and corporate clients.
In that time, he has observed a wide range of methods—some highly effective, many flawed. This paper outlines a sound and thorough approach that any fundamental analyst can adopt, although it is not the only valid method.
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