Are you facing increasing demands for advanced analytics and data solutions within your organisation?

Accelerate time to value by enabling your data analysts to leverage Microsoft Fabric to help break down data silos and unify disparate sources of data to create rich, powerful Microsoft Power BI dashboards and reports. Enable your team to discover how Microsoft Fabric can help scale analytics while reducing costs and optimising existing data management in a governed and secure way.

Microsoft Fabric is an end-to-end analytics platform that brings together all the data and analytics tools that organisations need to go from the data lake to the business user. Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI.

Professional Advantage, in partnership with Microsoft, is pleased to invite you to a free one-day workshop covering the capabilities of Microsoft Fabric. Fabric Analyst in a Day is an intermediate-level training session designed for Power BI Data Analysts who have experience with Power BI but are new to Microsoft Fabric.

The goal of this informational session is to help you understand how to consolidate your data into a single source of truth where you can analyse your data and generate meaningful insights. Data Analysts will go through the end-to-end analytics solution from ingesting data to building reports with automatic refresh. Whether you are evaluating Fabric’s ability to meet organisational requirements around data unification, visualisation, and analysis or wanting to learn how it can help optimise your work to create high value impact, this is the workshop for you.

At the end of the day, attendees will better understand how to:

  • Identify when their organisation can benefit from using Microsoft Fabric for their specific business scenarios.
  • Leverage the potential of Microsoft Fabric to streamline and enhance productivity with integrated analytics platform.
  • Unify and transform data from across various data sources through Shortcuts, Dataflows Gen 2, and Pipelines.
  • Build rich and powerful reports to discover meaningful insights and make impactful business decisions with Power BI.

Simply complete the form to register your interest in this workshop. Start learning how Microsoft Fabric can meet your business needs by creating an integrated, unified analytics solution with accessible insights that scale with ease.

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Presented by

Warren Briggs

Business Intelligence Consultant

Warren has been working in the IT industry for over 30 years. He has been with Professional Advantage (PA) for almost 30 years and has worked with a range of PA solutions including ERP (Dynamics GP), Retail (Dynamics RMS), and CPM (Board and Kepion). Warren's current role is within the Data and Planning team working with Microsoft Fabric and Microsoft Power BI.

Sophia Rainer

Business Intelligence Consultant

Sophia is a seasoned Dynamics 365 Finance Functional Consultant and Power BI specialist. She has been at Professional Advantage for over 10 years in which time she has successfully delivered a wide range of business intelligence and finance transformation projects.

A CPA with a Master of Analytics, Sophia brings a rare combination of financial expertise and technical capability. She excels at bridging the gap between finance and data, empowering clients with insightful, analytics-driven solutions. Her core strengths lie in budgeting, forecasting, and BI reporting, areas where she consistently translates complex financial requirements into intuitive, high-impact dashboards and reports. Sophia's consultative, end-to-end approach ensures that every solution she delivers is not only technically sound but aligned with the broader business context, enabling clients to make faster, smarter decisions with confidence.

Register today to stay informed about upcoming Fabric Analyst in a Day workshops with Professional Advantage.