Modernize and unify your data with Microsoft Fabric
Modernize and unify your data with Microsoft Fabric—including migration from legacy platforms into Fabric’s unified Lakehouse architecture.
Nextant modernizes, integrates, or replaces existing analytics stacks by consolidating ingestion, storage, transformation, governance, and analytics into a single scalable experience built on OneLake. Fabric enables your data platform to evolve without re-architecting as needs grow.
Value outcomes
- Unified, scalable data foundation: consolidate fragmented data into OneLake with a Lakehouse/Warehouse strategy and governed semantic models.
- Faster time-to-insight: modernize analytics on a trusted, centralized foundation to accelerate decision-making.
- Lower complexity and cost: reduce tool sprawl by standardizing ingestion, modeling, governance, and reporting in Microsoft Fabric.
- AI-ready analytics: establish a foundation that supports Copilot and future AI scenarios (predictive dashboards, ML pipelines).
- Governance & security by design: implement identity, access control, and governance patterns that scale safely.
Overview
Why this engagement
Many organizations rely on fragmented, legacy data platforms that are costly to maintain, slow to change, and difficult to govern—limiting the ability to scale analytics and deliver consistent insights.
What we do
We assess your current architecture and data sources, design a target Fabric Lakehouse/Warehouse blueprint on OneLake, execute structured data migration and transformation for prioritized sources, and enable governed analytics so teams can use the platform immediately.
What you leave with
A working Microsoft Fabric environment, migrated and curated data in OneLake, governed semantic models with modern analytics, and a clear roadmap for next-phase expansion (optimization, real-time, and AI activation).
Methodology & estimated timeline
- Discovery & Assessment (1 week): current-state review, key gaps, and success criteria alignment.
- Fabric Lakehouse Design (2 weeks): OneLake + Lakehouse/Warehouse strategy, data domains, and ingestion/transformation/governance patterns.
- Build & Migration (6 weeks): migrate and transform prioritized sources; implement models and semantic layers; validate data quality and performance.
- Enable Analytics & Adoption (2 weeks): enable governed analytics, reconnect reporting, and provide enablement/knowledge transfer.
- Define Next Steps (1 week): identify next-phase use cases (real-time, AI, advanced analytics) and roadmap.
Optional add-on phases
- Proof of Concept (2 weeks): hands-on Fabric PoC on a narrow scope.
- Optimize (3–5 weeks): performance tuning, governance enhancements, and model/report optimization.
- AI Activate (4–6 weeks): ML pipelines, Copilot integration, and AI dashboards.
Prerequisites
- Executive sponsor and key business/data stakeholders for requirements and validation.
- Access to prioritized data sources (or representative samples) and current reporting artifacts.
- Security/IT point of contact for identity, access, and governance inputs.
Microsoft products & services supported
- Microsoft Fabric (OneLake, Lakehouse/Warehouse, Power BI; Spark/ML where applicable)
- Microsoft Entra ID (identity & access) and Microsoft Purview (governance/lineage where applicable)
- Power BI modernization and optimization patterns (as relevant to your environment)