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This two-day intensive program equips finance and accounting professionals with the practical Excel skills needed to streamline data analysis, reporting, and financial modelling in today’s fast-paced business environment. With a focus on advanced Excel capabilities — including Power Query, Power Pivot, and interactive dashboards — alongside selected AI tools, the session is tailored for finance professionals who already have basic Excel knowledge and want to elevate their analytical efficiency and reporting accuracy. Through hands-on exercises, live demonstrations, and real-world financial scenarios, participants will gain firsthand experience in automating data workflows, building audit-ready models, and leveraging AI to accelerate formula writing, data interpretation, and report drafting. By the end of the session, participants will walk away with the confidence and technical capability to transform raw financial data into clear, actionable insights — turning Excel and AI into trusted partners for smarter, faster financial decision-making

What will you learn in this Microsoft Excel with AI Tools for Finance: Data Analysis and Reporting?

• Apply advanced Excel functions such as XLOOKUP, SUMIFS, INDEX-MATCH, IFS, and IFERROR to streamline reconciliations, aging reports, journal validations, and financial analysis tasks.
• Structure clean, scalable, and audit-ready workbooks using Excel Tables, consistent formatting standards, and best practices for financial reporting.
• Automate data import, cleaning, and transformation using Power Query, enabling seamless integration of ERP exports, bank statements, and multi-source financial data.
• Analyze large transactional datasets efficiently using Power Pivot and the Data Model, overcoming the performance limitations of traditional spreadsheets.
• Build dynamic PivotTables, Slicers, Timelines, and dashboards for real-time monitoring of cash flow, accruals, budget vs. actuals, and operational KPIs.
• Conduct scenario and sensitivity analysis using What-If tools such as Goal Seek, Data Tables, and Scenario Manager to support forecasting and strategic planning.
• Leverage AI tools to assist in formula generation, data summarization, report drafting, and financial reporting tasks — while applying AI-assisted prompting techniques to strengthen reconciliation, analysis, and decision-support workflows.

Course Outline

Module 1: Excel Environment Optimized for Finance Professionals
– Customizing the Excel interface for productivity – Workbook and worksheet structuring best practices
– Professional number and date formatting for financial clarity
– Organizing workbooks for reporting, reconciliation, and audit readiness

Module 2: Advanced Formulas for Transactional & Analytical Workflows

– Multi-condition aggregations using SUMIFS and COUNTIFS

– Dynamic lookups using XLOOKUP and INDEX-MATCH

– Logical functions such as IF, IFS, AND, OR, and IFERROR

– Using AI to assist in formula generation, explanation, and troubleshooting

Module 3: Data Management & Integrity
– Structuring data with Excel Tables
– Data validation and conditional formatting for KPI tracking
– Cleaning and standardizing data using Remove Duplicates, Text to Columns, and Flash Fill
– Using AI to suggest data cleaning logic and flag reporting anomalies

Module 4: Power Query – Automation Through Data Transformation
– Connecting to multiple data sources (CSV, Excel, ERP exports)
– Cleaning, merging, appending, and reshaping financial data
– Creating reusable, refreshable queries for recurring reports
– Using AI to assist with Power Query logic and transformation steps

Module 5: Power Pivot & Large-Scale Data Analysis
– Building a Data Model from multiple related tables
– Using DAX basics such as CALCULATE and TOTALYTD
– Overcoming row limits and performance issues in traditional PivotTables
– AI-assisted support for interpreting trends and understanding DAX logic

Module 6: Interactive Reporting & Dashboards
– Designing PivotTables with time grouping (months, quarters, fiscal years)
– Creating calculated fields and measures for ratios and KPIs
– Enhancing interactivity with Slicers and Timelines
– Using AI to summarize dashboard findings and draft variance narratives

Module 7: Financial Modelling & Scenario Analysis
– Applying modular model design: assumptions, calculations, and outputs
– Building dynamic budget vs. actual templates and cash flow trackers
– Using Goal Seek, Data Tables, and Scenario Manager for forecasting
– Auditing models with Trace Precedents and Evaluate Formula
– Using AI to generate scenario assumptions and interpret sensitivity results

Module 8: Efficiency & Collaboration Best Practices
– Using Named Ranges for formula readability
– Creating templates for recurring processes (month-end close, reconciliation packs)
– Protecting sheets and applying version control for shared models
– Best practices for using AI responsibly in finance workflows, including validating AI-generated outputs for accuracy and compliance