What is Predictive Analytics?
Predictive analytics is the discipline of deriving reliable statements about the future from past data. Instead of only describing what happened — as classic business-intelligence reports do — forecasting models answer the decisive question: what is likely to happen, and what action should follow? Using machine-learning methods such as gradient boosting, time-series models and neural networks, we detect patterns in your data and project them forward. Typical applications include demand and sales forecasting, churn prediction, predictive maintenance, dynamic pricing and risk scoring. What matters is not only the prediction itself, but an honest assessment of its uncertainty so you can make well-founded decisions.
What Does Predictive Analytics Cost?
| Model | Duration | Investment | Ideal for |
|---|---|---|---|
| Proof of Concept | 3–4 Wochen | 5.000–12.000 € | Ein klar definierter Use Case, Machbarkeitsnachweis |
| Production Forecasting | 6–10 Wochen | 15.000–40.000 € | Produktives Modell mit Datenintegration & Monitoring |
| Enterprise Forecasting Platform | 10–20 Wochen | 40.000–80.000 € | Mehrere Use Cases, MLOps & Dashboards |
| Betrieb & Re-Training | Laufend | ab 1.200 €/Monat | Monitoring, Drift-Erkennung, regelmäßiges Re-Training |
Why LSI Analytics?
Proven ML methods: gradient boosting, time-series models and deep learning
Honest uncertainty through confidence intervals instead of false precision
Explainable models with SHAP values for transparent predictions
Clean data pipelines with automated feature engineering
Monitoring and drift detection for long-term stable forecasts
Training for your team and full documentation of every model