Services · Data Analytics
We connect scattered data into a single source of truth.
We bring together your data from ERP, e-commerce, Excel and web sources in a clean, reliable data infrastructure that updates itself.
Why it matters
Reports are only as reliable as the data beneath them.
In most companies, the same question gets different numbers from different departments. The cause is usually not the reporting tool; it is that data is kept in different systems, with different definitions, and moved around by hand.
With our data analytics service, we organise the journey of data from source to report: where each piece of data comes from, how it is cleaned, which definition it is calculated with and how often it is refreshed. As a result, your reports rest on a single source of truth.
What you get from this service
- A single data source where every department sees the same number
- Automatically refreshed data flows instead of manual copy-and-paste
- Early detection of data quality issues
- A solid foundation for Power BI and data science projects
- A documented structure your team can take over
What do we do?
Depending on your needs, we can start with a single component or build an end-to-end data infrastructure.
01
Data warehouse and lakehouse design
We choose the architecture that suits your business needs and data volume, and build a reporting-ready model with fact and dimension tables.
02
ETL/ELT processes
We automate the regular, traceable extraction, transformation and loading of data from source systems.
03
Data quality
We define checks and cleansing rules that detect missing, duplicate or inconsistent records.
04
Data integration
We link ERP, accounting, e-commerce, CRM and Excel sources through shared keys.
05
Web data collection
We regularly collect external data such as competitor prices and market data, while respecting the terms of use of the sites involved.
06
Documentation and handover
We hand the structure over to your team with a data dictionary, flow diagrams and maintenance documents.
How do we proceed?
The output of every step is defined, so you always know what you are receiving.
01
Discovery and inventory
We map out data sources, existing reports and critical business questions together.
02
Architecture and model
We design the target data model and flows and agree them with you.
03
Build and validation
We build the flows and validate the results against the source systems.
04
Handover and support
We deliver with documentation and training, and stay by your side during the initial period.
Technologies we use
- SQL Server
- Microsoft Fabric
- Azure Data Factory
- Power Query
- Python
- Excel
Frequently asked questions
Do we need to change our existing systems?
No. Data analytics work is carried out by reading data from your existing ERP, accounting or e-commerce systems without touching them.
Do small companies need a data warehouse too?
Not always. With only a few sources, a sound structure can be built directly in Power BI. During discovery, we propose the simplest solution that meets your needs.
How is the security of our data ensured?
Access is limited to the people and systems that need it, connection details are stored securely, and data stays in your own infrastructure whenever possible.
How long does a project take?
It depends on the scope. A single-source reporting infrastructure can be set up in a few weeks, while multi-source data warehouse projects proceed in phases. We share a clear timeline after discovery.
Let’s connect your data into a single source of truth.
Let’s review your current data sources and reporting needs together.