How top FP&A teams navigate imperfect data
Join Albert Gozzi, CEO of Aleph, and Joe Dizon, Director of Finance at Lifestraw, as they discuss one of the biggest challenges in FP&A—data quality. Learn how high-performing teams don’t get paralyzed by imperfect data and what they focus on instead.
Debunking the myth that FP&A requires perfect data
Too many finance teams get stuck chasing an unattainable ideal that they overlook how to make the best out of what they have in front of them.
High-performing teams recognize that good data + great analysis beats perfect data + good analysis every time. Instead of obsessively fixing every last inconsistency, these teams focus on cultivating enough clean, reliable data to power great decision-making.
Consolidated, well-structured data is the foundation for precise models and forecasts, but imperfect data isn’t an excuse for not forging forward.
In this webinar, Albert and Joe will dive deep into:
- Navigating the unique cross-system data challenges that FP&A teams face
- How to identify gaps and prioritize impactful fixes over chasing perfection
- Finding a happy balance between too much data vs too little data
- Best practices for cleaning and structuring what data is available
- How to iterate and improve your data strategy over time
- and much more...
