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Why data  fragmentation blocks AI

Scattered systems, inconsistent definitions, and legacy reporting environments prevent teams from obtaining dependable insights — and prevent AI models and agents from being grounded in data that can be trusted. When data is fragmented, AI cannot deliver accurate, repeatable answers. When governance is inconsistent, agents that access enterprise data create compliance and audit risk.
 
Microsoft Fabric and OneLake are designed to solve this: a single, governed analytical platform that connects your data, standardises definitions, and creates the grounding layer every AI agent and Copilot interaction depends on.
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Fragmented data estate

Reports are produced from multiple disconnected systems, creating inconsistent numbers and unreliable baselines for AI.

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Legacy analytics running on production

Analytical workloads competing with operational systems create risk, performance issues, and a poor foundation for AI.

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No governance for AI grounding

Without a governed semantic layer, AI agents cannot access enterprise data in a way that is accurate, auditable, and safe.

What you receive

 

 

How it works

AI-Ready Data (2)
Phase 1 — Assess

Evaluate the data estate, analytics environment, governance posture, and AI objectives. Identify where fragmented data, inconsistent definitions, legacy reporting, or cost uncertainty are blocking AI adoption. Document the current state and prioritise the highest-value workload for the proof of value. 

AI-Ready Data (3)
Phase 2 — Design

Design the unified data foundation on Microsoft Fabric and OneLake. Define the governance model, semantic layer, and reusable business context that will ground future agents in trusted enterprise data. Produce the Fabric and OneLake target architecture. 

AI-Ready Data (4)
Phase 3 — Build

Deliver the lakehouse or warehouse proof of value on the agreed priority business workload. Cover data engineering, semantic models, Power BI, and real-time intelligence where relevant. Separate analytical workloads from production systems where applicable. 

AI-Ready Data (5)
Phase 4 — Plan and transition

Deliver the fixed-fee roadmap covering architecture, workloads, capacity, governance, cost, and adoption. Confirm the transition to ALIANDO Managed Data Analytics for ongoing optimisation and Fabric capacity growth. 

Built on Microsoft

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Microsoft Fabric
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OneLake
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Fabric Data Factory
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Fabric Lakehouse
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Fabric Data Warehouse
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Power BI
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Microsoft Purview

Delivered for a growing digital commerce business

 ALIANDO delivered a Microsoft Fabric data warehouse foundation for an SMB digital-commerce organisation whose analytics had previously run directly against its production MySQL environment. The engagement separated analytics from the production system, enabled near-real-time reporting and self-service analysis, and created an AI-ready platform using Microsoft Fabric, OneLake, Fabric pipelines, Power BI, and Azure Database for MySQL. 

  • Business Outcomes
  • Microsoft funding may apply
  • Why ALIANDO
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  • One governed data foundation on Microsoft Fabric and OneLake
  • Analytical workloads separated from production systems — reducing operational risk
  • Accelerated insight delivery through Power BI and near-real-time reporting
  • A trusted data grounding layer for AI agents and Copilot interactions
  • Reduced dependency on production databases for reporting and analytics
  • Predictable Fabric capacity and cost model
  • Clear transition to ALIANDO Managed Data Analytics
ALIANDO will assess eligibility for Data Platform incentives, Fabric Solution Assessment funding, and applicable ECIF at the scoping stage. Funding is subject to Microsoft eligibility, customer criteria, nomination, and proof-of-execution requirements.
  • Analytics on Microsoft Azure Specialization
  • AI Platform on Microsoft Azure Specialization
  • Proven Fabric delivery for commercial and digital-commerce customers
  • Governance and semantic model design integrated from the assessment phase — not added retrospectively
  • Direct integration pathway to ALIANDO AI-Ready Databases and AI Agent Launch
  • Optional transition to ALIANDO Managed Data Analytics following proof of value
  • Microsoft Azure Expert MSP with Solutions Partner designation in Data & AI