A powerful
Power BI Dashboard
A powerful Power BI dashboard doesn't start with the visuals, but with the data foundation underneath.
Eleven Data Engineering & Architecture-approach ensures that your organization has a robust, scalable data platform, ready to deliver insights at any level of your organization.
Why Data Engineering is Crucial
Companies have data today from numerous sourcesERP systems, CRM, Excel files, cloud applications, production data, etc.
Without a well-thought-out data structure, this leads to fragmentation, delays, and incorrect insights.
With a well-designed data architecture:
- Do you combine data from different systems into one reliable whole?
- Are calculations and definitions uniform and traceable
- Does a real single source of truth
- Can you efficiently scale reporting and AI applications
In short: A strong data platform is the engine behind data-driven decisions.
What does the process look like?
Our approach: from source to reporting
Analysis & Architectural Design
Together, we map your data sources, business processes, and reporting needs.
We design a Data architecture fits your organization — on-premise, cloud, or hybrid — with a focus on performance, governance, and cost efficiency.
Data Collection & Integration
With tools like Azure Data Factory, Synapse Pipelines, Fabric Dataflows of Databricks Workflows we build automated data pipelines that securely and reliably connect your data sources.
We ensure these integrations are scalable and maintainable, with a clear separation between raw, processed, and modeled data.
Data Lake & Data Warehouse
We structure raw data into a Data Lake they model them into usable, performant tables in a Data Warehouse.
Hereby, we are using Microsoft SQL Server, Azure Synapse, Lakehouse of Fabric Warehouse – depending on the scale, complexity, and needs of your organization.
Transformation & Modeling
We use Databricks Notebooks, SQL Transformations en Power Query to clean, restructure, and enrich data.
Thanks to Databricks can we process large amounts of data, perform complex calculations, and create Delta Tables that seamlessly integrate with Power BI or Synapse.
The result? A clear, maintainable data model that seamlessly integrates with your Power BI reporting and enables future-proof analytics.
Security, Monitoring & Governance
We are implementing role-based access, Row-Level Security (RLS) en monitoring flows,so that data remains secure, reliable, and auditable.
In addition, we ensure clear data lineage and governance structures, so your organization remains fully in control of its data flows.
Technologies we use
Our solutions are built entirely on the
Microsoft Data Platform,including, among others:
- Azure Data Factory – for data streams and automation
- Azure Synapse Analytics – for data warehouse and query performance
- Microsoft Fabric – for modern, integrated data experiences
- Azure SQL Database / Managed Instance
- Data Lake Storage Gen2
- Power BI - as front-end reporting
- Python Notebooks – for transformations and API integrations
How the collaboration is going
- Intake & architectural sketch
We analyze the current situation and create a proposal for the future data architecture. - Proof of Concept (PoC)
A limited set of data sources will be integrated to validate the approach. - Implementation phase
The complete setup of Data Lake, Data Warehouse, and data streams will be built. - Knowledge Transfer & Documentation
We provide workshops for your team and clear technical documentation. - Maintenance & Optimization
Through support and periodic reviews, we ensure lasting quality and performance.
Results that speak for themselves
Ready for reporting that actually works?
Schedule a no-obligation meeting. Together, we'll identify where you're losing time today, what figures are missing, and how you can gain reliable insights faster.