Скачать или смотреть Debtors Ageing Analysis in Excel | Aditya Kumar Darak

Are you still using endless nested IFs for Debtors Ageing Analysis in Excel? Let’s break out of that old-school trap! In this video, I’ll show you how to ditch the IF jungle and use VLOOKUP/XLOOKUP with approximate match, dynamic arrays, and pivot tables for a cleaner, smarter, and more flexible ageing analysis.

No more formula headaches. No more manual updates every time your buckets change. Just a dynamic, scalable solution that adapts as your business grows.

What you’ll learn:
Why nested IFs are a pain (and how to avoid them)
How VLOOKUP/XLOOKUP approximate match works for ageing buckets
Setting up helper columns for flexible bucket definitions
Using dynamic arrays and the new Group By function for instant summaries
How to build pivot tables for ageing analysis (and their limitations)

Download the Excel file to practice: https://bit.ly/DebtorsAgeingAnalysisi...

00:00 – Introduction: Why everyone uses nested IFs for ageing (and why it’s a pain)
01:06 – The problem with brackets and hardcoding in IF formulas
02:19 – Is there a better approach?
02:48 – Why VLOOKUP/XLOOKUP approximate match is overlooked
03:44 – What does approximate match actually mean?
06:36 – Helper columns for dynamic ageing buckets
09:40 – Handling negative days and not-due items
10:32 – Using XLOOKUP’s “if not found” for cleaner formulas
12:00 – Making your analysis dynamic and flexible
13:01 – Grouping and totalling with new Excel functions
15:01 – Using Group By and XMATCH for sorting
17:00 – One-cell dynamic solution and updating buckets
18:40 – Why dynamic arrays are great for dashboards
20:00 – Pivot tables for ageing analysis
22:00 – Limitations of pivot tables for custom buckets
24:00 – Why dynamic arrays and XLOOKUP are better for dashboards
26:00 – Error-proofing and final tips
28:00 – Wrap up and next steps

#thegaminglearning #excel #powerquery #finance #dataanalytics #charteredaccountant