AI-Driven Insights, Validation and Scenario Modeling

Overview

In this intermediate-level specialization, you will interpret, validate, and act on AI-driven insights. You will leverage Power BI, Excel, and Microsoft Copilot to uncover patterns, test assumptions, and build scenario models that support strategic decision-making.

Emphasis is placed on validating AI-generated outputs, identifying risks and anomalies, and communicating uncertainty and recommendations with confidence to executive stakeholders. This course is for financial professionals with 1–3 years of experience, including analysts, who have a foundational understanding of financial principles and standard data tools.

By the end of this course, you will be able to evaluate AI-generated insights to ensure accuracy and financial relevance, analyze financial data to identify anomalies and key drivers using statistical and AI-assisted tools, create scenario models to assess strategic options, and communicate data-driven insights with clear consideration of uncertainty. This course requires Power BI Desktop, which runs on Windows PCs or Macs with Parallels Desktop.

Microsoft Copilot is also required. Microsoft 365 online can be used as an alternative, though the desktop version is recommended for full feature access.

Syllabus

• AI Validation: Evaluate Insights and Anomalies
Achieve the art of critically evaluating AI outputs while investigating the anomalies they identify. You'll learn to verify AI insights, validate flagged issues, and understand the true business drivers behind unusual patterns.
• AI Validation: Create Audit Trail
Build professional documentation that tracks your AI validation process. You'll create audit trails that demonstrate due diligence, support decision-making, and enable others to understand your validation approach.
• AI Validation: Communicate Findings
Transform your validation work into clear communications that stakeholders trust. You'll learn to present validated insights, explain your verification process, and build confidence in AI-assisted analysis.
• Scenario Models: Build What-If Framework
Construct dynamic scenario models that instantly show the impact of strategic changes. You'll build flexible frameworks in Excel and Power BI that enable rapid exploration of pricing, cost, and volume scenarios.
• Scenario Models: Analyze Outcomes
Systematically analyze multiple scenarios to find optimal strategies. You'll learn to compare outcomes across dimensions, identify sweet spots, and understand the drivers behind each scenario's performance.
• Scenario Models: Evaluate Trade-offs
Master the art of trade-off analysis in strategic decision-making. You'll learn to quantify and communicate the tensions between growth and profitability, helping leadership make informed choices.
• Scenario Models: Communicate Strategy
Transform complex scenario analyses into clear strategic recommendations. You'll learn to present scenarios in ways that acknowledge uncertainty while providing confident guidance for decision-making.
• Expense Anomalies: Statistical Detection
Use Excel's Analysis ToolPak to systematically identify unusual expenses. You'll calculate statistical measures, establish normal ranges, and flag outliers that require investigation.
• Expense Anomalies: Visual Analysis
Create visualizations that make anomalies jump off the page. You'll build box plots, control charts, and heat maps that reveal patterns and outliers human eyes might miss.
• Expense Anomalies: Root Cause Analysis
Move beyond detection to understanding why anomalies occur. You'll learn to investigate root causes, assess materiality, and separate concerning issues from explainable variations.
• Expense Anomalies: Stakeholder Communication
Transform your anomaly analysis into action by communicating effectively with stakeholders. You'll craft messages that get responses, build accountability, and drive expense discipline.
• Project Module: Strategic Analysis & Recommendations
Demonstrate an understanding of AI-assisted strategic analysis by validating insights, modeling scenarios, and detecting anomalies to inform a major business decision. You'll act as a trusted advisor who leverages AI while maintaining professional skepticism.

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Taught by

Microsoft

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Subjects

Business