BUSINESS INTELLIGENCE
Predictive and advanced analytics to anticipate
We apply predictive analytics and machine learning models to your data to anticipate demand, detect risks, and uncover opportunities.
What is Predictive and advanced analytics?
The traditional BI tells you what has happened; Advanced analytics help you know what's going to happen and what to do about it. With statistical and machine learning techniques, we turn your historical data into actionable predictions and recommendations.
We develop predictive analysis models on your data: sales and demand forecasting, detection of customers at risk of churn, estimation of non-payments, predictive maintenance, advanced segmentation or anomaly detection. We use Python, Microsoft Fabric, Databricks, and Azure Machine Learning, and integrate the results into your Power BI dashboards.
The result is anticipation: proactive decisions based on what's likely to happen, not just what's already happened, with the models built into the tools your team already uses.
FEATURES
Features of Predictive and advanced analytics
Demand and sales forecasting
Forecasting models to anticipate sales, stock or demand.
Churn and default prediction
Identification of customers at risk of flight or non-payment.
Anomaly detection
Alerts for unusual behavior in your data.
Advanced segmentation
Grouping of customers or products with machine learning techniques.
Predictive maintenance
Anticipation of equipment or process failures based on data.
Power BI integration
Results of the models incorporated into your dashboards.
TECHNOLOGIES
- Python
- Microsoft Azure
- Power BI
- Databricks
- Microsoft Fabric
- Azure Synapse Analytics
FREQUENTLY ASKED QUESTIONS