FactorPrism

Find the Signal in the Noise

Your operations generate a mountain of data. FactorPrism finds the critical signals that tell you why your performance is changing, so you can fix problems faster and run more efficiently.

Stop Chasing Symptoms. Start Solving Problems.

When a critical KPI like 'customer wait time' or 'production defects' goes up, the clock is ticking. Traditional dashboards can show you the problem, but they can't tell you the cause. Is it a machine malfunction? A software bug? A new supplier? A change in employee shifts? Trying to figure it out is a slow, manual process of trial and error.

FactorPrism eliminates the guesswork. We automatically analyze all your operational data and decompose any change into its fundamental drivers, showing you exactly what's responsible for the shift in performance.

Get to the Root Cause, Faster

Traditional Dashboards

  • "Call volume is up 40% this month."
  • "Delivery times have increased by 15%."
  • "Machine uptime is down 5%."

With FactorPrism

  • "The 40% increase in call volume was driven almost entirely by complaints about potholes, which had a 4x bigger impact than any other category."
  • "The 15% increase in delivery times is 70% due to a new warehouse process and 30% due to a specific carrier's delays."
  • "The 5% drop in uptime is caused by a single faulty component, which is responsible for 80% of the downtime."

A Real-World Example: NYC 311 Service

The Challenge

New York City's 311 non-emergency call center experienced a massive 38% surge in call volume over a specific period. Simply seeing the spike wasn't enough; they needed to understand the root cause to allocate resources effectively.

FactorPrism's Analysis

FactorPrism analyzed the call data, which was categorized by complaint type and descriptor. The platform decomposed the 38% growth, revealing a clear story:

  • +6% Impact: A general, city-wide increase in service requests across all categories.
  • +32% Impact: A huge, disproportionate spike in complaints about "Street Condition: Potholes."

The Result

The analysis showed that this wasn't just a general increase in calls; it was a pothole epidemic. Instead of just hiring more call center staff (treating the symptom), the city could direct resources to the Department of Transportation to fix the potholes (solving the root problem).

Benefits for Your Operations

Ready to transform your operational data into actionable intelligence?

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