Use Power Query to systematically clean and combine monthly financial data files. You'll build a repeatable process to handle common data issues and create a single source of truth.

Learn to systematically evaluate validation results, categorize data quality issues, and make decisions about data fitness for analysis. You'll develop judgment for when data requires further investigation.

Bring together all validation and cleansing work to create a trusted, analysis-ready dataset. You'll establish documentation and refresh procedures that ensure ongoing data quality.

Master Power Query joins to combine data from different financial systems. You'll learn to handle common integration challenges, such as mismatched keys and differing granularities.

Develop systematic approaches to verify data relationships and ensure consistency across integrated datasets. You'll learn to identify and resolve alignment issues before they impact analysis.

Go beyond basic transformations to reshape complex financial data using advanced Power Query techniques. You'll build reusable transformation patterns for common financial data challenges.

Build automated reconciliation processes that compare data across systems and flag discrepancies. You'll create reusable templates that reduce manual effort while improving accuracy and compliance.

Develop detective skills to systematically identify data quality issues using governance frameworks. You'll apply control thresholds to surface discrepancies, breaks, and anomalies requiring investigation.

Build comprehensive monitoring solutions that track data quality metrics over time. You'll create scorecards that provide visibility into data health, drive accountability, and support continuous improvement.

Build an end-to-end financial data pipeline that transforms messy monthly data into a governed, analysis-ready dataset. You'll implement validation checks, integrate multiple sources, and establish monitoring controls that ensure ongoing data quality. This project simulates the creation of a repeatable monthly close data process.