Most business reporting explains what has already happened.
Predictive analytics asks a different question:
What is likely to happen next, and what should the business pay attention to?
That can mean estimating future demand, identifying customers who may churn, forecasting equipment failure, recommending relevant products, detecting unusual transactions, or estimating the probability of another measurable outcome.
Maven Peak Solutions develops custom machine learning and predictive analytics solutions around these types of problems.
We begin with the business question and the available data.
Before selecting algorithms, we evaluate whether the organization has enough relevant, reliable, and representative historical information to support the prediction.
Where the use case is viable, we can design the data pipeline, develop and evaluate models, integrate predictions into business software, deploy the model to production, and monitor how it performs as real-world conditions change.
The goal is not to build the most complicated model.
It is to build a prediction system that is useful, measurable, and maintainable.
