Using Power BI to be a Strategic Financial Partner
59mIntermediate2026-01-21
Authors

Joshua Rischin
Company Director of Axium Solutions
Course details
In this practical, hands-on course, instructor Joshua Rischin shows you how to harness the full potential of Microsoft Power BI to transform financial data into strategic insights. Starting with connecting Power BI to financial and operational data, learn how to shape and clean data, build robust models, and design insightful reports and dashboards that answer critical business questions in real time. Along the way, gather insights on how to leverage advanced Power BI features such as variance analysis, sensitivity modeling, anomaly detection, alerts, and AI-driven narratives. By the end of this course, you’ll be prepared to move beyond traditional reporting and position yourself as a trusted finance advisor through powerful, data-driven storytelling.
Learning objectives
Analyze the evolving role of finance professionals from traditional bookkeeping to strategic advisory.
Translate stakeholder questions into data requirements using a stakeholder engagement matrix.
Connect Power BI to financial and non-financial data sources and integrate them for comprehensive analysis.
Shape and clean finance data using DAX to support business decision-making.
Build robust data models for KPIs and forecasting using Power BI.
Evaluate budget vs. actual variances and model scenarios to forecast financial outcomes.
Design and tailor dashboards to effectively communicate key insights to diverse stakeholders.
Automate recurring finance reports and set up alerts to improve reporting efficiency.
Leverage AI tools like Copilot to detect anomalies, validate insights , and craft narratives.
Develop storytelling skills by enriching data dashboards with commentary to engage and inform stakeholders.
Learning objectives
Analyze the evolving role of finance professionals from traditional bookkeeping to strategic advisory.
Translate stakeholder questions into data requirements using a stakeholder engagement matrix.
Connect Power BI to financial and non-financial data sources and integrate them for comprehensive analysis.
Shape and clean finance data using DAX to support business decision-making.
Build robust data models for KPIs and forecasting using Power BI.
Evaluate budget vs. actual variances and model scenarios to forecast financial outcomes.
Design and tailor dashboards to effectively communicate key insights to diverse stakeholders.
Automate recurring finance reports and set up alerts to improve reporting efficiency.
Leverage AI tools like Copilot to detect anomalies, validate insights , and craft narratives.
Develop storytelling skills by enriching data dashboards with commentary to engage and inform stakeholders.
Concepts
Introduction
- The future of finance starts here
Finance Professionals Today
- Recognize the evolving role of finance professionals
Partnering with Stakeholders
- Translate business questions into data needs
Integrating and Shaping Finance Data
- Connect Power BI to rich source data
- Shape and clean finance data with DAX
- Build robust data models - Preparing and building KPIs
Driving Insights through Analysis
- Analyze budget vs. actual variance drivers in Power BI
- Model scenarios and sensitivities in Power BI
- Track anomalies and outliers in Power BI
Storytelling with Data
- Highlight projections with smart forecasting
- Design dashboards around business questions
- Add narratives with annotations to dashboards with AI
Engaging Stakeholders
- Tailor Power BI reports dashboards to different audiences
- Facilitate conversations with live Power BI dashboards
Automation and Governance
- Automate recurring finance reports in Power BI
- Set up trigger-based alerts and workflows in Power BI
- Apply governance and version-control best practices
AI and the Future of Finance
- Leverage Copilot for anomaly detection
- Validate and contextualize AI-generated insights
- Position yourself as a future-ready advisor
Conclusion
- Bring it all together
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