Predictive Analytics on AWS SageMaker | Applying Consulting

Applying Consulting is an AWS Advanced Partner helping organizations move from reactive, historical reporting to proactive, predictive decision making. When you see the trend in a monthly report, it has already happened. Predictive analytics gives you the ability to act before the impact hits.

Our Predictive Analytics service defines the right use case, prepares the data, trains and evaluates the model, deploys it to production, and monitors its accuracy over time on Amazon SageMaker.

Common predictive use cases we implement:

• Demand forecasting: predict product or service demand by period, channel, and region to optimize inventory and resource planning
• Customer churn prediction: identify customers at risk of leaving before they do, enabling proactive retention actions
• Credit risk scoring: assess creditworthiness in real time for lending or credit decisions
• Fraud detection: identify anomalous transactions or behaviors in real time before financial impact occurs
• Inventory optimization: predict restocking needs to minimize both stockouts and excess inventory
• Preventive maintenance: predict equipment failure before it happens based on operational sensor data

Our delivery model: Every predictive analytics engagement begins with a use case and data readiness assessment. We validate that the data exists, is sufficient, and can support a predictive model before committing to full development. This protects the client's investment.

Business impact: Anticipate demand for better resource and inventory management. Predict churn to retain customers before losing them. Reduce financial risk through proactive fraud and credit risk detection. Transform data from a historical record into a forward-looking business tool.

This service relates to Amazon SageMaker, Amazon S3, AWS Glue, Amazon Athena, Amazon CloudWatch, and AWS Lambda.

Proven with clients including Experian and LiliPink.