Reconciliation of List using Power Query better than V lookup, Index Match or Xlookup

Jai Malhotra 
Instructor: Jai Malhotra 
Date: Wednesday July 15, 2026
Time:

10:00 AM PDT | 01:00 PM EDT

Duration: 90 Minutes
Webinar Id: 26756

Price Details

Live Webinar
$150. One Attendee
$290. Unlimited Attendees
Recorded Webinar
$190. One Attendee
$390. Unlimited Attendees
Combo Offers   (Live + Recorded)
$289 $340   One Attendee
$599 $680   Unlimited Attendees

Unlimited Attendees: Any number of participants

Recorded Version: Unlimited viewing for 6 months (Access information will be emailed 24 hours after the completion of live webinar)

Overview:

List reconciliation is a common business task (two files, two systems, one truth). Power Query can match, compare, and explain differences more reliably than lookup formulas.

Why you should Attend:

  • Lookups break with duplicates, missing values, and changing formats-reconciliations become risky
  • Manual matching is slow and error-prone, especially at month-end closures
  • Power Query provides a repeatable process and a clear audit trail of steps
  • Learn techniques to identify mismatches, missing records, and duplicates quickly
  • Reduce reconciliation turnaround time and improve reporting confidence

Areas Covered in the Session:

  • Merge queries for matching
  • Anti-joins to find missing records
  • Handling duplicates
  • Cleansing keys
  • Building a refreshable reconciliation report

Who Will Benefit:

  • Finance Teams
  • Auditors
  • Operations teams
  • MIS/reporting Professionals 
  • Analysts Responsible for Matching data Across Systems

Speaker Profile
Jai Malhotra is Microsoft Certified Professional who has 11 years of rich training experience as Corporate Trainer. The Instructor has conducted more than 900 training sessions of Corporate Sessions and upskilled work forces in the domain of Microsoft Excel, Power BI, SQL, Power Point, ChatGPT and Copilot. He got opportunity to serve Companies like Deloitte, NTT Data, Hafel, Virtusa, SBI Cards, Tata AIG, Maruti Suzuki, Max Life Insurance, Volvo Eicher, XL-Catlin, L&T, M3M, WSP, Panasonic, PwC, Paisa Bazaar etc.

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