BE-Analytics

BE-Analytics transforms ERP data into business-ready insights

Accelerate reporting and analytics with preconfigured KPIs, data models and proven industry logic built for Microsoft Fabric and Power BI.

BE-Analytics industry dashboard in Microsoft Power BI

What is BE-Analytics?

BE-Analytics is a preconfigured analytics and reporting accelerator for Microsoft Fabric and Power BI.

It transforms complex ERP information into performance-optimized data models, standardized KPIs and business-ready reports without requiring every analytics component to be designed from scratch.

BE-analytics combines

  • Industry-specific business logic based on real operational and financial processes
  • Performance-optimized semantic models for scalable reporting and analysis
  • Preconfigured Microsoft Dynamics 365 connectivity
  • Standardized KPIs with room for customer-specific extensions
  • Power BI reporting and self-service analytics

The result is a trusted analytics foundation that reduces modelling effort, supports consistent definitions and helps business and IT teams work with the same information.

BENEFITS

Why choose BE-analytics?

BE-Analytics helps organizations monitor performance across the value chain, from suppliers and purchasing to inventory, operations, sales, customers and finance.

Start faster with proven analytics foundations

Begin with predefined data models, KPIs and reporting logic instead of designing the complete analytics architecture from scratch.

Reduce effort and improve alignment

Use standardized business definitions to minimize reconciliation between finance, operations, IT and reporting teams.

Enable consistent, trusted insights

Provide all departments with shared definitions for key metrics such as revenue, margin, inventory and operational performance.

Scale and extend with ease

Build on a standard solution that can be expanded with customer-specific logic, additional data sources, advanced analytics and AI use cases as needs evolve.

Business value across the buying committee

For CEOs and business leaders
For CEOs and business leaders

Gain a more consistent view of performance across departments and create a stronger basis for strategic decisions.

For CFOs and finance teams
For CFOs and finance teams

Standardize financial and operational definitions, reduce reconciliation discussions and improve confidence in management reporting.

For IT and data leaders
For IT and data leaders

Build on a maintainable Microsoft-based analytics architecture instead of relying on reporting directly from complex ERP tables.

For key users and business analysts
For key users and business analysts

Work with familiar terminology, predefined measures and Power BI reports that reflect real business processes.

camano GmbH & Co. KG

Lean processes with BE-terna Fashion

The socks manufacturer decided to introduce a modern ERP industry software, which meant the replacement of numerous isolated applications and Excel lists. 
Case Study
  • Industry-specific KPIs, dimensions and measures
  • Standardized definitions for revenue, margins, inventory, finance and operations
  • Consistent calculations across reports and departments
  • Reusable structures for management and operational reporting
  • Reduced need to redefine common business metrics in every project
  • Abstracts complex ERP tables and relationships
  • Separates analytics models from operational workloads
  • Creates a stable semantic layer for Power BI
  • Supports scalable Microsoft Fabric architectures
  • Simplifies future report development and maintenance
  • Integration with Microsoft Fabric
  • Standardized semantic models supporting a shared source of business truth
  • Power BI dashboards and self-service analytics
  • Reusable datasets for business reporting
  • A structured foundation for advanced analytics and AI scenarios

Supported scenarios include:

  • Microsoft Dynamics 365 Business Central
  • Microsoft Dynamics 365 Finance and Supply Chain Management
  • Sales, purchasing and warehousing data
  • Finance and controlling information
  • Product, customer, supplier and other master data
  • Extend standard models with customer-specific measures and business logic
  • Connect additional data sources to broaden analytical coverage
  • Prepare curated data for machine learning and predictive analytics
  • Support Copilot and AI scenarios with consistent semantic definitions
  • Develop capabilities step by step along your analytics roadmap

Transparency note:

BE-Analytics prepares and structures data for advanced analytics and AI. The availability of specific Copilot, machine-learning or AI functions depends on the selected Microsoft architecture, licensing, data quality, governance model and implementation scope.

Industry use cases

Industry analytics built around real business scenarios

Each industry version is aligned with the specific operational processes, terminology, and performance indicators relevant to that sector, ensuring that reporting reflects how the business actually operates rather than applying a generic model across all industries.

Retail and fashion

Analyze sales performance across revenue, units sold, and customer segments, while evaluating margins at gross and net level to identify profitability drivers. In parallel, assess stock levels, purchasing patterns, product performance trends, and channel activity (such as online, retail, and partner sales) using established industry frameworks and terminology to ensure consistent, decision-ready reporting.

Manufacturing

Create consistent, governed views of operational, financial, inventory and supply-chain performance by standardising ERP data into a curated semantic layer. This allows users to analyse key business metrics without needing to navigate or understand complex underlying ERP data structures, while ensuring consistent definitions across reports and departments.

Project-driven organizations

Connect project, resource, cost and financial data across ERP and project systems to enable end-to-end project visibility. This includes tracking budget versus actuals, resource allocation, time registration, and cost accumulation at project and task level. The model supports margin analysis per project, progress monitoring, and structured management reporting to improve forecasting accuracy and financial control.

Services

Unify financial and operational KPIs such as billable utilization, non-billable time, revenue per resource, and service delivery performance. The solution enables analysis of workforce efficiency, capacity planning, and profitability at team, department, or client level. It supports data-driven decisions on staffing, resource allocation, and service optimization based on consistent KPI definitions.
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Discuss your analytics priorities with our experts

Explore how BE-Analytics can support your reporting landscape, Microsoft architecture and industry requirements. Together, we can assess your existing systems, priority KPIs and the level of standardization or extension your organization needs.

Talk to our experts

Michael Sullmann

Solution Lead Data & AI DACH

Michael Sullmann is a Solution Lead for Data & AI. He supports organizations in translating data-driven strategies into measurable business value and in sustainably establishing innovative Data & AI solutions.




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