Spargent Analytics designs, implements, migrates, optimizes, and supports Microsoft Fabric solutions aligned with your business objectives and technical environment.
We support the entire data lifecycle, including data ingestion, transformation, Lakehouse architecture, Power BI reporting, real-time analytics, machine learning, Copilot enablement, OneLake implementation, and governance.
Fabric workload map
Strategy, data movement, BI, AI, and governed delivery.
Microsoft Fabric brings together data integration, engineering, warehousing, science, real-time analytics, business intelligence, AI, centralized storage, and governance in one end-to-end SaaS environment.
Strategy, consulting, and roadmap development
Data platform assessment and target architecture
Data Factory pipelines and Dataflows Gen2
Lakehouse, Warehouse, notebooks, and Spark
Power BI dashboards, reports, and semantic models
Real-Time Intelligence and streaming analytics
Copilot, AI-assisted analytics, and data science
Security, governance, administration, and compliance
We cover all aspects of the Microsoft Fabric ecosystem, enabling teams to build data pipelines, analytics foundations, business intelligence solutions, AI-ready models, and governed production platforms.
Ingest, process, analyze, visualize, and act on streaming data for telemetry, IoT, applications, and operational systems.
Unified Data Foundation
OneLake, Lakehouse, Warehouse, and governance patterns create a trusted enterprise platform for BI and AI.
Operational Analytics
Real-time intelligence, streaming data, alerts, and dashboards help teams react faster to business events.
AI-Assisted Delivery
Copilot enablement, semantic modeling, and responsible AI practices make insights easier to create and trust.
Copilot-ready analytics
Governed data, semantic models, and AI-assisted workflows.
Spargent Analytics data engineers follow a structured delivery process that helps clients move from strategy to production with clarity, control, and measurable business value.
Analyze the current data landscape, business goals, analytics challenges, source systems, reporting needs, security requirements, and Microsoft ecosystem.
Define target Fabric architecture, workloads, data flows, storage models, governance approach, security structure, and integration patterns.
Configure Fabric workloads, build pipelines, create Lakehouse and Warehouse structures, develop reports, and implement governance controls.
Validate data accuracy, pipeline reliability, report performance, access controls, business logic, usability, and production readiness.
Deploy to production, publish workspaces and apps, configure refreshes, support onboarding, and provide documentation and handover materials.
Provide managed services, workload monitoring, optimization, troubleshooting, cost control, and continuous backlog delivery.
Beyond delivery, Spargent can provide ongoing support and optimization for Microsoft Fabric environments to ensure stability, performance, cost efficiency, and continuous improvement.
Platform monitoring, incident resolution, and dedicated engineering support for pipeline failures, report issues, and performance degradation.
Pipeline and workload optimization, Power BI performance tuning, capacity review, and cost control to keep Fabric environments efficient.
Continuous improvement consulting, enhancement roadmap planning, and adoption of new Microsoft Fabric capabilities as the platform evolves.
Whether you need one certified Fabric engineer or a fully managed delivery team, Spargent provides flexible engagement models designed to reduce cost, accelerate delivery, and improve ROI.
Dedicated Engineer
Add a certified Microsoft Fabric or Power BI engineer to your team for focused delivery support. Ideal for clients with an existing backlog, internal project manager, and clear technical priorities.
Remote Fabric Workbench
Access a flexible EU-based team of Fabric engineers, Power BI developers, data engineers, architects, and QA specialists without building a full in-house team.
Managed Project Delivery
Full delivery lifecycle from discovery and architecture to implementation, testing, deployment, documentation, and handover.
Discovery Sprint
A focused assessment to define your roadmap, architecture, cost estimate, migration plan, and highest-value use cases.
Rolling Delivery
Deliver Fabric capabilities in phases, with each release planned around priorities, budget, and measurable progress.
Outcome-Based Engagement
Align delivery with outcomes such as faster reporting, increased adoption, improved governance, and measurable ROI.
These questions are typically clarified during the discovery and assessment phase before implementation begins.
Where should we start with Microsoft Fabric?
Start with a discovery and assessment phase that maps current systems, data priorities, use cases, governance needs, and implementation risks.
Do we need a full project team?
Not always. Spargent can provide one dedicated engineer, a flexible workbench, or a fully managed delivery team depending on your capacity and timeline.
Can existing Power BI assets be modernized?
Yes. The work can include semantic model refinement, report optimization, workspace governance, app packaging, and migration into a stronger Fabric foundation.
What happens after go-live?
Spargent can support monitoring, optimization, incident resolution, cost and capacity review, and continuous improvement of Fabric workloads.
Spargent Analytics can help you design, implement, migrate, and optimize Microsoft Fabric solutions that bring your data, analytics, AI, and business intelligence into one secure and scalable platform.
We will get back to you within 24 hours with proposal to set up intro call.
