Root-cause analysis across
the whole operation.
Cross-functional analytics that trace a revenue miss, a margin dip, or a service failure back to its true origin, whether that's supply, sales, planning, or a combination of all three.
The problem
When revenue misses target, every function has an explanation, but nobody has the full picture. Sales blames supply. Supply blames planning. Planning blames demand volatility. The truth usually spans all three, and nobody has the tools to trace it.
Functional finger-pointing
Each team reports from its own data silo. The sales dashboard shows one story, the supply dashboard another, and the planning dashboard a third. Executive reviews become debates about whose numbers are right.
Delayed root-cause identification
By the time a cross-functional issue is diagnosed, typically weeks into a review cycle, the damage is done. The stockout has occurred, the margin has eroded, or the promotion has failed.
Disconnected analytics
BI tools show what happened within each function, but can't trace a causal chain across functions. A revenue miss in Region A might trace back to an allocation error compounded by a beat planning gap, but no tool connects those dots.
How Questt solves it
Purpose-built agents that operate on shared business knowledge, not isolated data.
Root Cause Engine
Automated causal analysis that traces operational outcomes across functional boundaries, following the thread from a revenue miss to its supply, sales, and planning origins.
Anomaly Detection
Real-time detection of cross-functional anomalies that wouldn't surface in any single function's dashboard. Unusual patterns that only emerge when you see the full picture.
Executive Dashboards
Unified views for leadership that show operational health across all functions in a single pane. Not four separate dashboards stitched together with different definitions and timelines.
How it connects
Enterprise Intelligence is only possible because of the Intelligence Warehouse. Without a shared knowledge layer that connects sales activity, supply positions, and planning assumptions, cross-functional analysis is just data aggregation. With the IW, it's true causal reasoning, because the relationships between entities are modeled, not just the metrics.
Learn about the Intelligence Warehouse →What changes
See Enterprise Intelligence in action.
Tell us about your analytics challenges and we'll show you how Questt connects the dots.
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