Key figures everyone agrees on
We agree with the business and controlling how each key figure is calculated. After that nobody argues about the number, only about the result.
Microsoft Power BI
Build reports your teams can explain.
We build reports that sales, controlling and management actually use. First we agree what each key figure means and where it comes from. Then we build the data model, dashboards and AI-based forecasts, for example for the pipeline, year-to-date revenue or customer value.
Explore functions and applications ↓
Functions
What we deliver with Power BI
Data model from CRM, ERP and business systems
Dynamics 365, SAP, hotel or laboratory systems supply the data. The model connects them through shared keys.
AI forecasts
Forecasts for revenue, utilisation or demand, calculated with AI from history and visible in the report.
Access by role
Everyone sees the figures they may see, down to row level.
Business applications
Typical use cases for Microsoft Power BI
Sales controlling
Pipeline, year-to-date revenue and an AI-based forecast for every subsidiary in one report.
Customer value and group reporting
For a hotel group we show customer value, corporate clients, MICE and food and beverage across all properties.
Service and operations
Tickets, visits and device data show where service is needed and how quickly it arrives.
Management reporting
Figures from several systems for management, with clear definitions and updated automatically.
From our projects
One shared view of guests and corporate clients
For a hotel group we bring together the information from the hotel systems. Dashboards show customer value, corporate clients, MICE and food and beverage, and AI-based forecasting supports sales and management.
More on hospitality →- Industry
- Hospitality
- Content
- Customer value, MICE, food and beverage
- AI
- Forecasting
Architecture
Microsoft Power BI in your system landscape
This explains the responsibilities. APIs, access and data ownership are agreed for your workflow.
- 01Your teamSourcesCRM, ERP, business systems
- 02NXTGNPreparationDataflows or Fabric
- 03NXTGNData modelKey figures and keys
- 04NXTGNAI forecastRevenue and demand
- 05NXTGNReportsDashboards by role
- 06Your teamDecisionYour management
delivered by NXTGNyour systems and teams
Requirements and boundaries
We plan licences and capacity according to how many people build reports and how many only read them.
Why do our numbers not match?
Usually because each department calculates differently. We agree the definitions together and build one model for everyone.
Do we need Fabric for this?
Not always. For many reports Power BI with dataflows is enough. Fabric pays off when many sources, large data volumes or AI come into play.
How does the AI forecast work?
A model learns from history, for example pipeline and revenue, and projects the next months. The report shows forecast and actuals side by side.
Related topics
Related products and services
Product documentationPower BI ↗Editorial review: 12 October 2026. Features and availability can change.
Planning to use Microsoft Power BI?
Discuss your workflow, existing systems, implementation and operational requirements with us.
