Microsoft Fabric Readiness Assessment

EXPERT THINKING (CONSULTING) LIMITED

Expert Thinking’s Fabric Readiness Assessment reviews your data, skills, and governance to deliver a roadmap for adopting Microsoft Fabric aligned to your strategic goals and technical needs.

Expert Thinking’s Microsoft Fabric Readiness Assessment is a structured 5-day engagement designed to help organisations evaluate their readiness to adopt Microsoft Fabric — an all-in-one data platform that integrates data engineering, warehousing, real-time analytics, observability, and BI under a unified architecture.

This assessment provides a holistic view of your current data posture, cloud infrastructure, skills, and strategic goals to ensure your business is equipped to gain maximum value from Microsoft Fabric.

Key components include:

Data Readiness Review: Evaluation of your current data health, formats, tagging, DLP, and ETL/ELT processes to assess the viability of integrating with Fabric. Operating Model Assessment: Analysis of governance, access controls, and policy frameworks to determine whether your data operating model supports Fabric adoption. Skills and Capability Review: Identification of skills gaps in data engineering, AI/ML, and supporting tooling (e.g., Databricks, Spark) and recommendations for upskilling or resourcing. Strategic Alignment: Understanding your long-term goals—such as leveraging AI, ML, or third-party integrations—to tailor architecture and platform decisions accordingly.

Outputs include: A readiness assessment report with maturity benchmark Technical and architectural recommendations Implementation roadmap and indicative pricing

This offer equips your organisation with the clarity and confidence needed to move forward with Microsoft Fabric effectively.

https://store-images.s-microsoft.com/image/apps.48451.f5ca7d83-08fe-4048-8921-a9cbf8cfb640.4cc2dd02-8a48-4af8-8a63-03db7c232d5f.974ae36d-81bf-48a5-a5ac-77deeab2c757
https://store-images.s-microsoft.com/image/apps.48451.f5ca7d83-08fe-4048-8921-a9cbf8cfb640.4cc2dd02-8a48-4af8-8a63-03db7c232d5f.974ae36d-81bf-48a5-a5ac-77deeab2c757