Predictive analytics is the practice of using historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes. Starfusion Consulting moves beyond traditional business intelligence, which explains what has happened, to develop forecasting models that rigorously predict what *will* happen.
Our Approach & Capabilities
Our methodology is grounded in statistical rigor, ensuring that our models are not only accurate but also robust and explainable.
- Time-Series Forecasting: Analyze sequential data to predict future trends in areas like sales, inventory demand, and financial markets.
- Customer Churn Prediction: Identify key behaviors and attributes that signal a customer is at risk of leaving, allowing for proactive retention strategies.
- Predictive Maintenance: Forecast equipment failures based on operational data, enabling maintenance to be scheduled before costly downtime occurs.
- Risk Modeling & Scoring: Develop models to quantify the risk associated with financial transactions, insurance claims, or credit applications.
Business Impact
By providing a statistically sound view of future events, our predictive analytics solutions empower organizations to make proactive, data-driven decisions, mitigate risk, optimize resource allocation, and seize opportunities before they arise.
Technologies We Use
- Frameworks: scikit-learn, XGBoost, LightGBM, Prophet
- Platforms: Google Cloud AI Platform, Amazon SageMaker, Azure Machine Learning