Business Intelligence
Business intelligence (BI) forms the foundation for data-driven decision-making in organizations. It ensures that management, business units, and operational teams have access to consistent, validated, and up-to-date information.
The objective is transparency across processes, customers, markets, and risk — based on a structured data architecture and clearly defined governance. This makes decisions traceable and fact-based.
Our projects combine solid data architectures with intuitive reporting and analytics tools — so decisions are based on facts, not assumptions.
Microsoft Fabric, SQL Server, Oracle Database, and Power BI provide the technological foundation for a modern, integrated BI platform that consolidates data across the organization and presents it in a clear and understandable way.
Data Warehousing
A data warehouse is the central repository for structured, validated, and consolidated enterprise data. It ensures that information from different sources — ERP systems, CRM, manufacturing, or controlling — is unified into a common data foundation.
Using solutions based on Microsoft SQL Server, Microsoft Fabric, and Oracle Database, we design scalable and maintainable data warehouse architectures. These provide the basis for meaningful analytics, standardized reporting, and self-service BI enablement.
Our Focus Areas:
- Implementation of modern data warehouse structures and Data Vault models
- Development of efficient ETL and loading processes
- Integration with Microsoft Fabric lakehouses
- Optimization of performance and governance for enterprise data
Operational Reporting
Operational reporting provides business teams with the information they need every day — current, detailed, and easy to understand. It focuses on KPIs, reports, and dashboards that support operational decisions and make trends visible early.
We rely on a broad spectrum of reporting tools — from Microsoft Power BI and SQL Server Reporting Services (SSRS) to Altova StyleVision and reporting with R. This enables organizations to implement solutions that match their processes and requirements.
Typical Use Cases:
- Finance and sales reporting
- Manufacturing and process metrics
- Quality and compliance analytics
- Regulatory reporting
Data Integration
Data integration is the foundation of every business intelligence solution. It ensures that data from a wide range of sources — databases, applications, files, and web services — is consolidated, cleansed, and harmonized automatically.
Using Microsoft SQL Server Integration Services (SSIS), Altova MapForce, and XML technologies, we build stable and transparent data processes. The result is reliable data delivery for warehouses, reporting, and analytics — automated, traceable, and scalable.
Our Focus Areas:
- Development and maintenance of ETL processes
- Integration of external systems and data sources
- Validation and cleansing of raw data
- Monitoring and logging of loading processes
Trainings
Specific trainings and current topics can be found in the Comelio GmbH course catalog.
Whether in-house at your company, as a webinar, or as an open event – the formats are flexibly tailored to different requirements.
Technologies
We use proven technologies for business intelligence applications.
Microsoft
- MS SQL Server and MS Azure SQL
- MS Fabric
- T-SQL
Oracle
- Oracle DB and PL/SQL
- Oracle Data Mining and R
Reporting
- MS Power BI
- Altova Stylevision
- R and Shiny
Development
- T-SQL and PL/SQL
- R and Python
- XML, XSLT, XML Schema
References
We have been developing data warehouse solutions and business intelligence since 2005.
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Data warehouse for analysis and forecasting of tax data (revenues and expenditures), including an import interface, a 3NF data model, a star schema, and a reporting component based on Microsoft technologies.
Federal authority, Berlin
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Reporting for structured financial products using Oracle, PL/SQL, and XML, including a data interface, a relational database, and an output component.
Bank, Zurich and Geneva
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Central database and self-service reporting solution for real estate sales and commissions, including integration of macroeconomic data and location information.
Real estate company, Munich
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Data warehouse with process metrics for insurance claims processing, including a reporting component.
Insurance company, Hanover
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Creation of individual confirmations and documents for customers, plus general customer correspondence with promotional messages or other information.
Insurance company, Vienna
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Interactive analytics system with complex calculations for product placement data in retail.
Beverage manufacturer, Berlin