Having data isn't the same as having information
Data architecture, Microsoft Fabric and Power BI to turn scattered data into reliable decisions, not an act of faith.
Do any of these sound familiar?
- 01 Every department keeps its own spreadsheet with different numbers. Before every meeting, someone reconciles versions. The numbers never quite match.
- 02 Reports always arrive late. By the time you get last month's data, the moment to act has passed. You're driving by the rear-view mirror, not the windshield.
- 03 You have Power BI but nobody really uses it. The dashboards exist, but important decisions are still made on gut feeling or data pulled by hand.
- 04 Your data lives in silos: ERP, CRM, e-commerce, operations… Nobody has the full picture. Integrating everything manually isn't viable and nobody maintains it.
The real problem
This isn't a data problem. It's an architecture problem.
The data is there. What's missing is the system that turns it into an advantage.
"Most companies don't lack data. They have too much data with no structure, no governance and no analysis layer that makes it actionable. That's not a technical problem, it's a pending strategic decision."
Deploying Power BI on top of messy data doesn't create intelligence, it creates faster mistakes. Before visualising, you need to structure. Before structuring, you need to understand which decisions your company needs to make and with what data.
DESUTION designs the data architecture starting from the business question, not from the available technology.
Excel as the system of record
The ERP stores transactions. The real metrics live in spreadsheets only their creator understands.
Monthly reporting as the only visibility
If you only see data once a month, you're flying with delayed vision. Problems are found once they're already costly.
Data silos per system
CRM, ERP, e-commerce, finance, logistics. Every system with its own truth. Nobody has the cross-company view.
KPIs defined but not measurable
The company has clear goals, but tracking progress takes hours of manual work. What isn't easy to measure doesn't get managed.
How we build it
The architecture that turns data into actionable decisions.
Data sources
Every system generating data across your organisation, regardless of format or frequency.
Ingestion & transformation
Extraction, cleaning and transformation. Data comes in raw and leaves structured, validated and documented.
Storage
A centralised, scalable and governed data model. One single source of truth for the whole organisation.
Analysis & visualisation
Executive dashboards, operational reports and automatic alerts. Data reaches whoever needs it, when they need it.
What we do
Data services that work as one system.
From architecture to dashboard. No gaps.
Data strategy & architecture
Before deploying any technology, we define what data your company needs to make decisions, where it comes from, how it relates and what architecture makes sense for your scale and maturity.
Data Warehouse & Data Lake
We design and implement the centralised storage architecture: dimensional model, data layers (raw, staging, gold), ingestion pipelines and data quality governance.
Data engineering & pipelines
We build the data pipelines that connect all your sources to the warehouse: extraction, transformation, validation and automated loading. Data flows without manual intervention.
Microsoft Fabric — End-to-end rollout
Fabric unifies Data Lake, Data Warehouse, data engineering and analytics into one platform. We deploy and configure Fabric as a full ecosystem, with OneLake as the foundation and governance built in.
Power BI — From data to a dashboard people actually use
A poorly deployed Power BI is the dashboard nobody checks. A well-deployed one replaces twenty manual reports and changes how leadership runs the business. The difference lies in the data model, not the chart design.
Semantic model before dashboard. 90% of Power BI problems come from the data model, not the visuals.
One dashboard per user profile. The CEO doesn't need the same view as the operations lead. We design by role and decision, not by department.
Automatic alerts and refreshes. Data arrives without anyone exporting, cleaning or emailing it.
Governance and security built in. Every user sees only what they should. No manual exceptions or uncontrolled access.
How we work
From raw data to informed decisions.
Discovery
We audit data sources, quality, volume and which decisions each leadership profile needs to make.
Architecture
We design the data model, layer architecture and governance strategy before writing any code.
Engineering
Building pipelines, transformations and the semantic model. Short iterations validated with the business.
Visualisation
Dashboards per user profile. Design driven by decisions, not aesthetics. Validated with real users.
Evolution
Monitoring data quality, adding new sources and evolving the model alongside the business.
Who this is for
Recognise your situation.
Every scenario has its own concrete solution.
We build the architecture from scratch: warehouse, pipelines and dashboards. From chaos to visibility in weeks, not years.
We audit the data model, redesign the semantic architecture and rebuild the dashboards around each profile's real decisions.
We design and implement the integration layer: a centralised warehouse consolidating ERP, CRM, e-commerce and any relevant source.
We migrate and modernise the architecture towards Microsoft Fabric or Synapse. Scalability, performance and cost optimised from the design stage.
Frequently asked questions
Can you unify ERP, CRM and e-commerce into a single data model?
Yes, we design ingestion pipelines and a centralised warehouse that consolidates every source into one single source of truth.
Why does nobody use our current Power BI?
It's almost always a data model problem, not a design one. We redesign the semantic model before touching the dashboards.
What's the role of Microsoft Fabric versus Synapse?
Fabric unifies lake, warehouse, data engineering and analytics into one platform; we recommend it when you want to simplify the whole data ecosystem.
Ready to turn your data into decisions?
Data architecture, Microsoft Fabric and Power BI to turn scattered data into reliable decisions, not an act of faith.