Predictive Analytics, AI & Econometrics

August Forecast

Predict what comes next.

Move from understanding what happened to anticipating what happens next.

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The Prediction Engine

Illustrative Demonstration

Predict

Identify customers likely to leave.

Forecast

Estimate future revenue and demand.

Classify

Sort transactions, risk or customers into meaningful categories.

Detect

Identify unusual transactions and patterns.

Optimize

Find more efficient allocation strategies.

Simulate

Explore possible future scenarios.

Revenue Forecast

Core Capabilities

  • Forecasting and time-series analysis
  • Customer churn prediction and classification
  • Clustering and anomaly detection
  • Deep learning and neural networks
  • Econometric forecasting
  • Scenario analysis

Business Problems We Solve

  • I need better financial or demand forecasts.
  • I want to predict which customers are likely to leave.
  • I don't know how upcoming changes will affect performance.
  • We react to problems instead of anticipating them.

Typical Deliverables

  • A documented forecasting model
  • Customer churn risk model
  • Scenario and what-if analysis toolkit
  • Model performance and validation report

Representative Technologies

PythonScikit-LearnTensorFlowPyTorchKeras
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What should your data be telling you?

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