A Practical Guide to the P to F‑SKU Transition for Healthcare
Healthcare organisations are under increasing pressure to deliver better patient outcomes, improve operational efficiency, and make smarter use of data; while managing tight budgets and complex governance requirements.
Microsoft’s move from Power BI Premium (P-SKUs) to Microsoft Fabric (F-SKUs) is more than a licensing change. It represents a shift towards a more connected, scalable analytics foundation that can better support clinical insight, operational reporting, and future digital transformation.
This session is designed to help NHS trusts and healthcare providers understand what the change means in practical terms, how to plan the transition with confidence, and how Fabric can support more joined‑up decision‑making across clinical, operational, and financial teams without disrupting existing reporting.
Why this matters for Healthcare…
For many healthcare organisations, Power BI already underpins critical reporting from performance and finance to workforce, patient flow, and service planning. The move to Fabric is an opportunity to:
- Improve visibility across fragmented data sources
- Protect and extend existing BI investments while preparing for future needs
- Get clarity on the P-SKU to F-SKU shift, key dates, and what’s impacted (and what isn’t).
- Reduce migration risk with a structured approach to assessment, planning, execution, and governance.
- Leave with practical next steps and decision points to align data, BI, IT, and finance stakeholders.
What we will cover:
- What’s changing: how Premium fits into Fabric, what F SKUs are, and what stays the same for end users.
- Microsoft Updates: how Fabric aligns to long‑term healthcare data, AI, and digital transformation strategies
- Timelines and transition scenarios: what the retirement milestones mean for EA vs non EA customers.
- Capability uplift: unified experiences across BI, data engineering, data science, real time analytics, and governance.
- Licensing & cost considerations: mapping P to F, right sizing, and typical break even considerations.
Meet the Speakers...

Martin Brierley
Data & AI Practice Lead at ANS
Martin Brierley, ANS' Data & AI Practice Lead, is dedicated to demonstrating the practical advantages of digital transformation and enabling clients to utilise the full potential of their data. With over 17 years of industry experience, Martin assists organisations in adopting and updating data solutions. He formulates data strategies, creates technical designs, and ensures alignment with corporate goals, budgets, and current technological trends. Martin is enthusiastic about providing innovative solutions catering to clients’ needs and priorities.

Ian Pike
Data & AI Solutions Architect at ANS
Ian Pike is a Solution Architect specialising in Data & AI solutions across Microsoft technologies. He has been working in consulting since summer 2025, previously working at Microsoft for 8 years. He enjoys working closely with customers to design practical, scalable data platforms that deliver real business value.

Jack Bennett
Jack Bennett Industry Lead: Healthcare
Jack Bennett is a technology professional focused on helping organisations get the most from modern cloud platforms and digital services. With experience supporting customers through change, Jack brings a practical and outcome‑driven approach to technology transformation, sharing insights that help teams navigate complexity and deliver real value.
Meet the Microsoft speakers...

Maya Hoang
Cloud & AI Apps Solution Engineer - Health & Education
Maya Hoang is a Microsoft technologist specialising in cloud, data and AI solutions. With a background spanning business analytics and software engineering, Maya brings a practical, insight‑driven approach to helping organisations unlock value from their data and cloud platforms. Passionate about responsible technology and knowledge‑sharing, Maya is also an active contributor to the wider tech community through speaking, mentoring and content creation.
