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 forecasting
Time series models (Prophet, ARIMA) to anticipate sales, orders or consumption of resources.
Scoring and classification
Models that classify customers, leads or transactions by risk, propensity to buy or probability of churn.
Anomaly detection
Automatic identification of outliers in production, finance, or quality that require investigation.
Advanced segmentation
Clustering of customers, products or markets to customize commercial strategies.
Python Models
Model development with scikit-learn, statsmodels, Prophet and other libraries of the Python ecosystem.
Power BI integration
Visualization of predictive results in dashboards for consumption by the entire team.
Validation and metrics
Model evaluation with test data, cross-validation and standard metrics to measure reliability.
Monitoring and retraining
Tracking model performance in production and periodic retraining when degraded.
TECHNOLOGIES
- Python
- Microsoft Azure
- Power BI
- Databricks
- Microsoft Fabric
- Azure Synapse Analytics
FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Predictive and advanced analytics
Dashboards and dashboards with Power BI
Design and development of interactive dashboards with Power BI: we connect your data sources, model the information and create clear dashboards with the KPIs that move your business.
Learn more →Data Integration and Modeling (ETL/ELT)
Extract, transform, and load data from your sources into a clean, consistent model. ETL/ELT with Azure Data Factory, Microsoft Fabric and open-source tools.
Learn more →Data warehouse and data architecture
Design and deploy data warehouses and modern data architectures with Microsoft Fabric, Azure Synapse, and SQL Server to centralize your insights and feed your analytics.
Learn more →Automated reports and KPIs
Automation of periodic reports and KPI monitoring with Power BI and Microsoft tools: distribution by email or Teams, alerts and subscriptions without manual intervention.
Learn more →Migration from Excel to Business Intelligence
We turn your Excel sheets into a professional BI environment with Power BI: automation, consistent data model, permissions, and removal of runaway versions.
Learn more →Power BI embedded in your apps
Integration of Power BI dashboards within your web applications, customer portals, and SaaS platforms with Power BI Embedded and per-tenant security.
Learn more →Data governance and quality
We define ownership, semantic governance, quality rules and access policies so that your data is reliable, traceable and has a clear owner.
Learn more →Power BI and data culture training
Hands-on in-company training in Power BI, DAX, data modeling, and data culture for your team to gain autonomy and make decisions based on reliable information.
Learn more →