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Data Readiness Assessment
We audit your existing operational data against Fabric's structural requirements - identifying gaps, inconsistencies, and priorities before migration begins.
Fabric Ready
Your Microsoft Fabric migration will only deliver if your data is ready first.
Microsoft Fabric promises company-wide insight. Pearstop makes sure the data feeding it is clean, structured, and reliable so your migration delivers what leadership is expecting.
The Hidden Blocker
The hidden blocker in every Fabric migration
Microsoft Fabric promises a unified data platform - one source of truth across finance, operations, procurement, and assets. But Fabric assumes structured, consistent data that most organisations simply do not have yet. Migrating dirty data into Fabric does not fix the problem; it just moves it, at great cost and risk.
- ×Inconsistent naming conventions mean cross-site and cross-system comparisons fail
- ×Field errors and duplicates surface immediately in reporting - damaging trust in the new platform
- ×AI and Copilot features built on Fabric underdeliver when the underlying data is unreliable
- ×During a data lake transition there is a natural inflection point to clean the data before it gets more expensive
Why this matters to leadership
CFOs and senior operations leaders care about trust, reporting, and delivery. They do not care about the platform for its own sake - they care about whether the migration produces company-wide visibility and a return on the spend.
How It Works
Fabric readiness in three stages
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Automated Cleaning and Structuring
We clean, standardise, and structure your data to meet Fabric's requirements automatically, at scale - no manual rework.
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Migration-Ready Data
You receive verified, structured data with automated quality control built in - ready for Fabric onboarding and AI model training from day one.
What Fabric readiness delivers
379%
ROI
Forrester-modelled three-year ROI for enterprises that migrate to Microsoft Fabric on a clean data foundation.
95%
Automated data structuring
Without manual rework.
<6 months
Payback period
Per Forrester composite enterprise model.
We were planning a Fabric migration but kept hitting the wall of inconsistent, unstructured data underneath. Pearstop cleaned and structured it first - what would have been a 12-month data preparation project became manageable.
What does Microsoft Fabric data readiness mean?
Microsoft Fabric data readiness is the process of cleaning, structuring, and governing operational data before migrating to Microsoft Fabric. For asset-intensive industries - construction, facilities management, manufacturing - procurement data, asset registers, and operational records are often too inconsistent for Fabric to process reliably. Pearstop automates the data preparation work that makes Fabric migrations succeed, ensuring organisations can use Copilot, AI agents, and real-time analytics from day one rather than spending 12-18 months fixing data quality after migration.
Planning a Fabric migration?
Talk to us before the migration starts. A 30-minute call now can save months of rework later.
