Your data platform, ready for reporting and AI
Four data challenges we see in Nordic organizations
Data that is ready for AI
Copilot and agents need connected, governed data with business meaning, not just access.
Agents that work with your data
Teams want agents that answer questions from company data. Few know where to start safely.
Moving to the cloud and Fabric
Old warehouses and on-premises BI need a modern platform, without breaking the reports people rely on.
Self-service analytics with AI
The business wants to explore data on its own, with AI help, while the numbers stay consistent.
Which situation sounds like you?
Two common starting points, each with a recommended first step.
What is Data-as-a-Service?
Data-as-a-Service covers the full analytics lifecycle: ingestion, transformation, storage, governance, insight and AI readiness.
A service, not a project
- Keeps evolving. Your data platform improves continuously instead of stopping and starting with each initiative
- Governed by default. Cataloged, classified data with lineage you can audit and residency you control
- Ready for Copilot and agents. Feature-ready data and usable schemas, so AI works from something dependable
- One predictable monthly cost. Fixed service levels on Microsoft Fabric, with capacity managed and extra work scoped separately
Who it's for
Designed for organizations that:
- Need trusted, governed data environments
- Want one source of truth for AI
- Want a platform that grows with them, without building and running it alone
- Require data residency and compliance
- Lack a dedicated data team
Typical use cases
- Data is typically fragmented across ERP, CRM and financial systems.
- The need arises when information from these separate systems must be brought together and used more effectively.
- Typical organizations include SMBs, large enterprises and public-sector organizations.
What the service covers
Six building blocks, from ingestion to insight, run as one service.
Data platform
Data warehouse, lakehouse and scalable storage for reporting, analytics and AI.
Data integration
Automated pipelines that ingest and transform data, monitored and always current, plus migration of the legacy data you still need.
Analytics
Governed models, consistent metrics, ready-made reports and self-service BI.
AI and data automation
Data ready for Copilot and agents: business ontologies, usable schemas and real-time events.
Data security and compliance (optional)
Protect your data, access and reports.
Capacity and licenses (CSP)
Fabric capacity managed and monitored for you, and billed on actual use.
Find your starting point
Start small and with your own data. Each step sets the direction and the baseline for the service. Microsoft co-funding may be available for eligible customers.
Fabric Discovery Call
2 hours · No fee
A virtual walkthrough of Fabric mapped to your data estate and priorities.
Analyst-in-a-Day
1 day · Fixed price
A guided lab with a focused dataset of your own: ingest, transform, model and publish a report in Fabric.
Fabric or Wider Data Platform Assessment
3–5 days · Fixed price
A deep review of your data platform and data estate, on site with your stakeholders. Fabric is the usual target, but we start from what you have.
Service levels
Choose the level that matches your ambition. Every level is a fixed monthly fee. The fee depends on your organization's size and scope and is confirmed after the assessment.
- Data landscape review
- Fabric proof of concept and domain design
- Initial pipelines, models and governance
- Scope adapted to your data maturity
- Monitored Fabric baseline
- Core ingestion pipelines
- Power BI semantic models, maintained and monitored
- Baseline data quality checks
- Capacity and cost visibility
- Everything in Essential, plus:
- Multi-domain architecture
- Reusable data products
- Purview lineage and classification
- Cost, performance and usage optimization
- Everything in Advanced, plus:
- Enterprise Fabric architecture
- Data products ready for Copilot
- Real-time data streams for AI and other data needs
- Agent-ready datasets with continuous optimization
Data-as-a-Service in practice
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Frequently asked questions
Data-as-a-Service
How is a managed service different from a project?
Do we have to start with the full service?
Do we need to be on Microsoft Fabric already?
How does this help with Copilot and agents?
How is capacity billed?
Not sure where to start?
Book a free two-hour Fabric Discovery Call. We map Fabric to your data estate and recommend a next step.
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