In our latest Team Academy workshop, we rolled up our sleeves and tackled Power Query head-on β transforming scattered Excel files into structured insights and building the foundation for high-impact data modeling. This session was all about automation, reconciliation, and mastering the merge β the unsung hero of any data analystβs toolkit.
Hereβs your full breakdown:
βοΈ Automate Your Workflow: From Inbox to Dashboard
We kicked off with a live demo on automating Excel data extraction from:
π§ Outlook email attachments
βοΈ One Drive folders
π SharePoint libraries
Using Power Query, participants learned how to:
Filter emails by subject or sender
Extract attachments in real-time
Consolidate weekly reports from multiple sources into a unified dataset
π§ Why it matters: If you're managing weekly ops, HR, or sales reports, this automation saves hours of manual effort and reduces errors β making reporting nearly hands-free.
Ready to take control of your data Join our Power BI demo Class and learn the art of data automation!
π Consolidation & De-duplication Strategies
Handling duplicate data is one of the most common β and costly β data issues.
We explored:
How to remove duplicates based on file name, timestamp, or content
Best practices for cleaning column mismatches across Excel sheets
When to apply merge queries vs. append queries
π¨βπ« Pro Tip: Always define the key columns (e.g., Employee ID + Date) to prevent accidental data loss when cleaning duplicates.
π Want to transform the way you handle data? Sign up for our Power BI training
π Mastering Joins in Power Query
We unpacked the six core join types in Power Query and when to use each:
β Left Outer Join β used in 95% of use cases
π Inner Join β keeps only matching records
π« Left Anti Join β powerful for finding whatβs missing (e.g., non-responders to marketing emails)
π Use Case: Qatar Expo data for 2024 vs 2025 β perfect for exploring event participation analytics.
π Real-World Reconciliation Techniques
We went beyond theory with hands-on reconciliation:
Merging employee attendance with sales performance
Calculating total hours worked and project contribution metrics
Cleaning up incomplete or mismatched rows
π‘ Whether you're in finance, HR, or PMO, these techniques can help build bulletproof reports and KPIs.
π Merge, Model & Measure: Next-Level Applications
From basic joins to custom calculations:
π§Ύ Created custom columns to apply pricing formulas (e.g., tariff = price Γ 1.25)
π Used multiple conditions for joins (e.g., Employee ID + Shift Type)
π’ Applied aggregate functions like SUM, AVERAGE, and COUNT to generate metrics
βοΈ These formulas are the bedrock of dashboards β whether youβre presenting sales trends or inventory metrics.
Don't miss this opportunity to enhance your data skills! Enroll now and take your reporting to the next level.
π οΈ Coming Up Next
π Upcoming Sessions:
Data Modeling: Learn to structure your datasets for maximum performance
Visualization Techniques: Turn raw metrics into executive dashboards
Custom KPIs: Build performance indicators with DAX
π₯ Bonus: Recorded lectures and formulas will be uploaded to the LMS portal
π Holiday Reminder: No class during Eid break β but LMS materials will be available for self-paced progress.
π Final Takeaway
Power Query isnβt just an Excel plugin β itβs your personal data engineer. With the right techniques, you can automate reporting, validate data integrity, and model complex scenarios without writing a single line of code.
π Ready to go from spread sheet wrangler to dashboard strategist? Practice the merge, explore joins, and prep for the next Power BI data modeling session.
π¬ Have questions or need help?
Reach out to info@teamacademy.net Or jump back into the LMS at teamacademy.net