Getting Started with Fabric
The early decisions you make around strategy, architecture, and governance are what drive success and cost effectiveness across your entire Fabric deployment.
We help you lay the groundwork for long term success on Fabric.

70%
Faster using Vortex AI and automation
50%
Cost reduction using the Vortex Engine
30+
Years of analytics and BI experience
What Most Organizations Underestimate About Fabric
Fabric brings together everything an organization needs for modern data and analytics, unified storage, unified security, integrated tooling, and a clear path toward AI readiness.
But... all this capability requires a strong operational plan to govern and ensure security needs are complied with. Teams that move quickly without a plan often end up with environments that are expensive to run, difficult to govern, and painful to scale.
The skills breadth
Fabric spans a dozen distinct capabilities, from platform administration to data engineering to governance. Covering that breadth requires a cross-skilled team, not a generalist.
The architectural foundation
Decisions around workspace structure, data architecture, and domain separation need to be made properly in the initial deployment, otherwise problems will persist for years and become difficult to unravel.
The FinOps discipline
Without active capacity management and cost monitoring from day one, Fabric consumption and spend will grow in ways that are hard to trace and harder to reverse.
How We Help You Get Started
Whether you're building the case, proving its value, or laying the foundation—our getting-started engagements meet you where you are on your journey.
Fabric Roadmap
Assess your current state and build a practical, strategic plan
| "Leadership is asking for a Fabric strategy and we need to show them a credible plan, not just for getting there, but for what happens after." |
You get:
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Migration roadmap with a step-by-step path from legacy to Fabric
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A technology blueprint identifying which services to integrate
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Platform sizing approach with Fabric SKU recommendations
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Legacy platform savings analysis quantifying what can be retired
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Proposed implementation timeline with resource requirements
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Total cost analysis covering migration and ongoing operational expenses
Fabric Jumpstart
Launch a working Fabric environment with your actual data
| "We need to prove Fabric's value to our stakeholders—with a real working solution that moves the needle, not just a presentation." |
You get:
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A configured Fabric environment with Lakehouse, Data Warehouse, and pipelines
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Security, governance, and cost control best practices implemented from day one
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A working solution built on Fabric that drives real value, whether revenue, cost savings, or risk reduction
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Hands-on experience with the platform, your team kicks the tires and sees what Fabric can actually do
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Reusable design patterns your team can follow for future solutions
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Inspiration and a foundation for what comes next
Fabric Foundations
Implement your platform architecture, governance framework, and data foundation
| "We want to get this right the first time instead of spending the next year cleaning up shortcuts." |
You get:
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Platform architecture designed and implemented for your organization's needs
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Governance framework—workspace organization, naming conventions, access policies, ownership model
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Data architecture—OneLake structure, domain separation, data ingestion patterns
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Security posture—RBAC, RLS, conditional access, data protection, and workspace and report access configured correctly
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Operational model defining how changes get promoted, issues get escalated, and who owns what
What a Healthy Fabric Environment Looks Like
No matter which engagement you start with, the goal is the same, a Fabric environment you can trust, scale, and build on with confidence. Here's what that looks like in practice:
Cost visibility and control
You know exactly what you're spending, why, and where to optimize. No surprise overruns, no wasted capacity, no reactive scrambling at the end of the month.
Governance from day one
Workspaces are organized, access is role-based, naming conventions are enforced, and there's a clear ownership model. Nothing is duplicated or unaccounted for.
Security that's not assumed
RBAC, conditional access, data protection, and network security are set up intentionally—not left to default settings or bolted on after a compliance review.
Platform observability
Monitoring and alerting are in place. Pipeline failures are caught and resolved. Deployments follow a structured promotion process. Your team isn't firefighting—they're building.
Architecture that scales
Fabric is structured for growth. Domains are separated. Data ingestion patterns are defined. The platform is ready for more workloads, more users, and more complexity without breaking.
AI readiness built in
Your data is governed, cataloged, and accessible. When it's time to enable AI, whether through fabric IQ, Copilot, Azure AI Foundry, or custom solutions, your platform is ready for it.
Microsoft Fabric Featured Partner
As a partner, Axis gets early access to Fabric innovations and Microsoft-backed funding to help customers scale their Fabric platform.
Data & AI, Azure
End-to-end capability in modernizing and migrating data and analytics platforms to Azure and Fabric.
Digital & App Innovation, Azure
Expertise in building and modernizing applications on Azure for scalable, cloud-native business solutions.
Infrastructure, Azure
Ability to migrate and optimize large-scale infrastructure on Azure for secure, high-performance cloud operations.
Explore Our Fabric Insights
See Vortex in Action
Transform Your BI Migration Journey
How Vortex Cuts Migration Effort by 70%
See why leading organizations trust Vortex to break down data silos and create a foundation for analytics innovation in Microsoft Fabric. No more budget overruns, missed deadlines, or transformation fatigue—just faster, more reliable migration with unmatched accuracy.
Frequently Asked Questions
Vortex's rationalization process performs a comprehensive analysis of your Qlik or Tableau environment in two key dimensions. First, it automatically extracts and analyzes all technical aspects including business logic, data transformations, data lineage, models, and calculations used within metrics and KPIs.
Second, it examines user engagement patterns to identify which reports are actually delivering value by analyzing access frequency and usage patterns. The output is a comprehensive Power BI report that serves as your strategic migration guide, with detailed runbooks for each application, data lineage maps, complexity scores, and prioritization recommendations organized into tiers (migrate, consolidate, or retire) - giving you a systematic plan that reduces risk, optimizes outcomes, and ensures you're focusing migration efforts on the most valuable assets first.



