Extracting insights from data often requires significant time spent writing queries, building visuals, and refining reports. As data volumes grow and business expectations increase, teams need faster ways to explore information and communicate findings without sacrificing accuracy or clarity.
In this session, Taiwo Olatunde explores how Copilot in Power BI helps analysts and data professionals accelerate insight generation through natural language interaction. Participants will see how Copilot can be used to ask questions of data, generate visualizations, and build reports with less manual configuration, allowing more time to focus on interpretation and decision-making.
The session walks through practical scenarios that show how Copilot supports common analysis tasks, from quickly summarizing trends to creating dashboards that answer real business questions. Rather than replacing analytical thinking, Copilot enhances it by reducing repetitive steps and lowering the barrier to working with complex datasets.
This session is ideal for Business Analysts, data professionals, and anyone working with Power BI who wants to speed up analysis, improve productivity, and make insights more accessible across their organization. Attendees will leave with a clear understanding of how Copilot fits into modern analytics workflows and how it can be applied responsibly to support better, faster decisions.
INSTRUCTOR PROFILE
Taiwo Olatunde is a Data Engineer and AI/Data Scientist with a strong focus on building scalable data systems and intelligent solutions that turn raw data into actionable insights. He specializes in designing robust data pipelines, developing advanced analytics solutions, and automating workflows using cloud and business intelligence technologies.
Taiwo has contributed to a range of projects, including database migrations with Azure Data Factory, JerichoAI (a multi-cloud cost optimization tool built on Microsoft Fabric), enterprise CRM and ERP integrations, and Power BI analytics platforms. With expertise in AI, data modeling, and advanced analytics, he bridges the gap between complex data and real-world decision-making. His work centers on creating scalable analytics platforms that help organizations achieve measurable, strategic business impact.