Olufemi Olamoyegun
Finance & Data Analytics Leader | Copilot in Finance | Microsoft Certified (PL-300, DP-600)
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Olufemi Olamoyegun is a Power Platform practitioner and Director of Business Analytics and Operations with over 10 years of experience delivering automation, analytics, and data-driven business solutions.
He is currently completing the Microsoft Power Up Program and is Microsoft Certified in Power BI (PL-300) and Fabric Analytics (DP-600). Olufemi is an active contributor to the Microsoft Fabric, Power BI, and Microsoft Tech Community with multiple accepted solutions.
His background includes Dynamics 365 Finance & Operations implementations, bringing real-world business context to Power Platform solutions.
Area of Expertise
Preparing Your Data for Copilot: What Actually Matters for AI-Ready Analytics
Microsoft Copilot promises powerful, AI-driven insights but the quality of Copilot’s output is only as good as the data behind it. Many organizations enable Copilot without first addressing the foundational data and analytics decisions that determine whether Copilot delivers value or confusion.
This session focuses on what data, analytics, and reporting teams must get right before and during Copilot adoption. Using Microsoft Fabric, Power BI, and Microsoft 365 as the reference architecture, we examine how data models, semantic layers, governance choices, and reporting practices directly influence Copilot accuracy, performance, and trust.
Attendees will learn how Copilot interacts with Power BI semantic models, how Fabric supports AI-ready analytics, and which common data mistakes undermine Copilot experiences. The session emphasizes practical guidance over hype helping teams understand what Copilot needs from their data estate and how to prepare for it realistically.
This talk is ideal for organizations planning Copilot adoption or trying to move from experimentation to meaningful, trusted AI-assisted decision-making.
Getting Started with Microsoft Fabric: Choosing the Right Data Store Without Regret
Microsoft Fabric offers multiple storage and analytics options—Lakehouse, Warehouse, and Power BI semantic models—but choosing the wrong one early can lead to performance issues, rework, and unexpected costs.
This session is a practical, experience-led guide for data and analytics professionals getting started with Fabric. Drawing from real-world implementations, it explains how to select the right Fabric data store based on workload type, team skills, governance needs, and business use cases.
Instead of focusing on features in isolation, the session walks through common decision points teams face, the mistakes frequently made, and how these choices affect scalability, performance, and long-term maintainability.
Attendees will leave with a clear mental model for selecting the appropriate Fabric data store, realistic expectations of trade-offs, and actionable guidance they can apply immediately. This grounded, non-hype session focuses on what works, what doesn’t, and why.
Getting Started with Microsoft Fabric and Power BI
You’re new to data analytics.
You’ve heard about Microsoft Fabric.
You’re not sure where it fits or how to begin.
This session gives you a clear starting point.
It explains how Microsoft Fabric and Power BI work together, using simple examples and plain language.
What you’ll learn:
What Microsoft Fabric is, and why it exists
The main Fabric components and when to use each one
How data flows from source to report
How Power BI fits into the bigger picture
You’ll see a basic end-to-end walkthrough.
No complex theory.
No finance examples.
By the end, you’ll know:
Where to start as a beginner
Which tools to focus on first
How to avoid common early mistakes
Have you opened Fabric and felt lost?
What would change if you understood the full flow in one hour?
This session is designed for beginners and those early in their data analytics journey.
Getting Started with AI Agents in Microsoft Power Platform
Curious about how AI can help automate everyday tasks? In this session, you will learn how to use Microsoft Power Platform to build simple AI agents that make work easier. No prior experience required!
Attendees will see:
How to create an AI agent that can handle basic tasks automatically.
How to connect the agent to apps and data for practical results.
Simple tips for keeping your AI solutions safe and organized.
A live demo showing an AI agent helping with HR requests or operational alerts.
Designing Autonomous Agents with Power Platform: Customer Onboarding in Action
Autonomous agents are changing how businesses handle repetitive workflows, yet many Power Platform solutions still rely on manual interventions or basic flows.
In this session, Olufemi Olamoyegun shares lessons learned from designing an autonomous agent to streamline customer onboarding. Attendees will see how a single agent can monitor incoming customer data, make contextual decisions, take automated actions, and manage its own state—without human intervention.
Key takeaways include:
Understanding what makes an agent truly autonomous in Power Platform solutions
Designing decision logic to route tasks and notifications intelligently
Automating communications via email or Microsoft Teams
Avoiding duplicate actions through self-managed state
Applying scalable and maintainable design patterns to real-world workflows
This session is practical, business-focused, and suitable for Power Platform practitioners looking to move beyond basic automation and deliver intelligent, self-directed workflows for multiple departments.
Building Practical Automation with Microsoft Power Platform
Discover how to leverage Microsoft Power Platform to automate workflows, streamline processes, and drive actionable insights across any business domain.
This session will focus on practical, hands-on approaches using Power Automate, Power Apps, and Copilot to empower data professionals and non-technical users alike.
Attendees will learn best practices, tips for designing efficient automation, and ways to make data-driven processes more intelligent and scalable all without relying on a specific finance context. The session is interactive and designed for a broad, cross-disciplinary audience.
From Excel to AI: The New Skills Every Finance Analyst Needs
The finance world is evolving fast, Excel formulas alone are no longer enough.
This session explores how finance professionals can transition from spreadsheet-driven analysis to AI-driven insights using Microsoft 365 Copilot, Fabric, and Power BI.
Olufemi will share his roadmap for learning, automating, and adapting, based on his experience mentoring professionals in AI and analytics adoption.
Copilot in Finance: How AI is Transforming Reporting, Budgeting, and Decision-Making
As AI becomes an essential part of modern finance, tools like Microsoft 365 Copilot and Fabric Analytics are helping finance teams automate reporting, accelerate analysis, and make smarter business decisions.
In this session, Olufemi Olamoyegun will demonstrate practical ways to use Excel Copilot, Power BI, and Microsoft Fabric to simplify end-of-month reporting, forecasting, and data storytelling without writing complex code.
You’ll see real-world workflows that integrate AI into finance processes such as variance analysis, cost control, and management reporting helping professionals save time, reduce errors, and focus on insight-driven decisions.
Building an AI-Powered Finance Dashboard with Microsoft Fabric
Data is the new oil but only if you can turn it into insight.
In this hands-on session, learn how Microsoft Fabric unifies data preparation, analytics, and visualization to help finance teams build AI-powered dashboards that track performance in real time.
Olufemi will walk through creating a financial reporting workspace using Dataflows, Lakehouse, and Power BI, and show how Copilot in Fabric helps generate DAX measures, narratives, and visuals automatically.
Automating Budget Reviews with Copilot and Power BI
Budget reviews often take days but with Copilot and Power BI, they can take minutes.
In this session, you’ll discover how to combine Excel Copilot, Power BI Goals, and Fabric Dataflows to automate variance analysis, budget tracking, and management reporting.
Olufemi shares real examples of AI-generated insights that help finance teams focus on business strategy instead of manual number crunching.
Transforming Finance Reports with Copilot in Excel 365
Finance professionals spend countless hours preparing reports, analyzing variances, and creating executive-ready dashboards. With Copilot in Excel 365, you can automate these tasks using natural language prompts, freeing up time for strategy and insights.
5 Copilot Prompts Every Finance Pro Should Know
Unlock the power of Microsoft 365 Copilot in finance! In this 15-minute Lightning Talk, you’ll learn five practical prompts that save time, reduce errors, and make financial reporting, budgeting, and analysis faster and smarter.
See Copilot in action across Excel, Power BI, and Outlook, and leave with actionable techniques you can apply immediately—no coding required.
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