We deploy advanced analytics and forecasting on Microsoft Fabric — directly on the data your organization already has. Predictive models run on the same platform as your Power BI reports — no separate ML infrastructure, no additional licenses, no dedicated data science team. Forecast results appear in your dashboards — decision-makers see not only what's happening, but what's likely to happen next.
Is this for you?
- You plan sales, orders, and production based on gut feeling and historical averages — not a predictive model
- Critical events (payment delays, fraud, sales drops) are detected only after the fact
- You analyze photos, recordings, or documents manually — it's time-consuming and prone to oversights
- Your existing analytical cubes report the past but don't forecast the future
- You see AI adoption as an expensive, months-long project requiring a separate data science team
What you get
- Predictive model tailored to your business (sales forecast, optimal inventory levels, demand forecast)
- Early warning system — automatic alerts for anomalies and critical events (payment delays, suspicious transactions, unusual deviations)
- Power BI dashboard with forecast results and alerts — integrated with your existing reporting
- Multimedia data analysis (where applicable) — AI model for image classification, audio analysis, or video monitoring
- Model documentation — business logic description and further development plan
How it works
- Consultation — identify the business case and available data
- Data analysis — assess data quality and completeness, select the modeling approach
- Model development — train, validate, and tune the predictive model
- Report integration — embed forecasts and alerts in Power BI dashboards
- Monitoring and growth — ongoing model validation, retraining, expansion to new scenarios
Timeline and cost
- Price: from 50,000 PLN net (per implementation)
- Model: T&M/Fixed + Fabric license costs + third-party components if applicable
What's not included
- Microsoft Fabric and Power BI licenses (required, priced separately)
- Data migration from source systems to OneLake (available as a separate project)
- Post-project model maintenance and retraining (available as a separate SLA agreement)
Frequently asked questions
Do I need a data science team? No. We build models using built-in ML components in Microsoft Fabric. Your BI team uses ready-made forecasts in Power BI — no additional tools.
Where do we start? With one use case — e.g., sales forecast, payment anomaly detection, or image classification. We prove value first, then scale.
Will forecast results appear in my Power BI reports? Yes. Forecasts and alerts are embedded directly in Power BI dashboards — decision-makers don't need to learn new tools.
Can AI analyze photos and recordings? Yes. We use Azure AI Vision and Azure AI Speech for image classification, audio analysis, and video monitoring — seconds instead of hours of manual work.
Hard numbers
- Excess inventory reduction: 15–25% (forecast replaces guesswork)
- Anomaly detection time: hours instead of days
- Photo/document analysis time: seconds instead of hours
- Additional ML tools needed: 0 — everything on one Fabric platform
Next step
Book a free consultation — find out which data in your organization can work for the future.