Microsoft Fabric
What Sets Us Apart
- Data-Driven Strategies
- Proven Results
- Scalable Growth
- Trusted Expertise
Connected Data. Actionable Intelligence. Smarter Decisions.
1Dynamics helps organisations adopt Microsoft Fabric to centralise data across systems, simplify analytics, and enable AI-driven insights.
We streamline data integration, improve data governance, and empower teams to turn information into measurable outcomes. With Fabric, your business gains a single, scalable data foundation — ready for AI.
Microsoft Fabric Technologies
Data Integration & Pipelines
Bring data together from multiple systems into a unified, trusted platform.
- Real-time and batch data ingestion
- Integration with CRM, ERP, cloud, and legacy systems
- Data transformation and orchestration
- Pipeline monitoring and optimisation
- Automated data quality and consistency controls
Data Engineering & Lakehouse
Build a scalable, centralised environment for analytics and AI workloads.
- OneLake setup and configuration
- Lakehouse architecture & workload design
- Delta Lake and Parquet optimisation
- Storage governance and lifecycle management
- Performance tuning for large datasets
Business Intelligence & Analytics
Turn data into actionable insights that drive smarter decisions.
- Power BI visual reporting and dashboards
- Semantic modeling and data relationships
- KPI alignment for business functions
- Embedded analytics for internal/external apps
- Interactive insights for teams and leadership
AI & Advanced Analytics Enablement
Activate AI capabilities with unified and high-quality data.
- Copilot and natural language insights
- Predictive & prescriptive analytics models
- Machine learning and data science integration
- RAG and model orchestration using Fabric + Azure AI
- AI governance, monitoring, and ethical controls
Strategic. Collaborative. Data-Driven.
We help organisations adopt Fabric in a structured, value-focused way — improving data readiness, streamlining analytics, and enabling AI at scale.
Assess & Analyse
Evaluate data landscape, business objectives & readiness.
Strategise & Design
Define data architecture & analytics roadmap.
Implement & Integrate
Implement Fabric components & unify data sources.
Govern & Optimise
Maintain data quality, security & continuous value growth.