We mine your operational data for the rules that actually govern performance. Capacity constraints. Timing effects. Factor combinations. The patterns hiding in plain sight.
What is ORE
Not the rules in your policy manual. The real rules — the ones that actually determine why some days flow smoothly and others don't. Why some teams hit targets and others struggle with identical resources.
These rules are buried in your operational data. ORE extracts them.
"When warehouse staffing drops below 12 during the 2-6pm window, next-day fulfillment rates fall by 34% — regardless of total daily headcount."
Your data contains thousands of operational insights. Most analytics tools show you dashboards of what happened. ORE discovers why — the underlying rules that, once known, let you optimize deliberately instead of accidentally.
What We Discover
Where resource levels create inflection points. Not linear relationships — the thresholds where performance changes dramatically.
Examples
When timing changes everything. The windows that matter, the sequences that succeed, the delays that compound.
Examples
Factor interactions that aren't obvious alone. The combinations that predict success — or failure.
Examples
Order dependencies that change outcomes. When A before B succeeds but B before A fails.
Examples
Hidden bottlenecks and binding constraints. The real limiters that aren't where you think they are.
Examples
What top performers do differently. Not opinions — statistically validated patterns of success.
Examples
How It Works
ORE runs on the POVA engine — the same deep analysis infrastructure that powers our fraud detection. It examines your organization from every point of view, testing millions of potential rules against your actual operational data.
Your operational data — transactions, workflows, resource logs, performance metrics. Everything that records how work actually happens.
Build a complete operational model of your organization. Every process, resource, actor, and interaction mapped across time.
Test millions of potential rules against your data. Statistical validation. Causal inference. Separate correlation from causation.
A rulebook for your operations. Validated patterns. Quantified impacts. Actionable recommendations you can implement immediately.
The Difference
Applications
Discover which process variations actually perform better. Find the real bottlenecks. Understand why some days flow and others don't.
Uncover the staffing rules that matter. Not just headcount — the specific configurations, timing, and compositions that drive outcomes.
Understand why some locations outperform others. Extract the operational rules that separate top performers from the rest.
True cost drivers discovered from data. Not allocated overheads — the actual operational factors that determine resource consumption.
Your organization has patterns it doesn't know about. Constraints it can't see. Opportunities buried in the noise. Let's find them.
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