Session

(Live Demo) Fast, Auditable Close: Driver-Based Allocations & Variance Explain with a Lakehouse

This session shows how to standardize cost objects and drivers, run transparent allocations at scale and produce variance narratives leaders understand. I will cover a pragmatic data model, quality checks before posting and lineage so auditors can see “input → allocation → result.” A short demo will highlight how a lakehouse approach streamlines allocations and generates explainable variance by entity, product, or channel, ready for CFO review

Key Takeaways-
#1 A driver-based allocation blueprint that’s explainable and repeatable
#2 How to generate variance narratives and drill-downs leaders can act on
#3 A data lineage checklist to make the close both faster and auditable

Shaurya Agrawal

Startup CTO & Board Advisor

Austin, Texas, United States

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