Power Query Fuzzy Matching (Automated reconciliation)

Поделиться
HTML-код
  • Опубликовано: 3 окт 2024

Комментарии • 29

  • @preethiagarwal5355
    @preethiagarwal5355 2 года назад

    Presentation skill is fantastic...

  • @jemo1108
    @jemo1108 4 месяца назад

    Thanks a lot for this. It has saved me a lot of time

  • @dharmpatel6067
    @dharmpatel6067 2 года назад

    THANKS FOR SHARING THIS TECHNIQUE...

  • @chaitanyasunny5872
    @chaitanyasunny5872 Год назад

    Thanks you so much....your great explaining....you made me hero

  • @hemantjoshi5034
    @hemantjoshi5034 2 года назад +1

    Thanks for explaining in such a simple way. Is it possible to have reconciliation done with invoice number on both tables after matching out the vendor / customer ? ,Also, matching the amount showing any variance in amounts for an invoice number of vendor. If yes do explain. Again, many thanks !

  • @SanviPatil2019
    @SanviPatil2019 2 года назад

    superb rishabh sir... amazing

  • @patelimran664
    @patelimran664 2 года назад

    Thank you for sharing such a very helpful information.....👍🏻

  • @ca.rajeevthakur9574
    @ca.rajeevthakur9574 Год назад

    Excellent
    Excellent

  • @janardhanreddy9836
    @janardhanreddy9836 2 года назад

    Thank you a lots it's going to be more helpful.

  • @velocitypta
    @velocitypta Год назад

    Great video sir

  • @ansarymariama2467
    @ansarymariama2467 Год назад

    Do you sell couses in vidéo?

  • @leomason15
    @leomason15 Год назад

    Thank you!

  • @NjaanAdima
    @NjaanAdima Год назад

    excellent

  • @FoolishBubbles
    @FoolishBubbles Год назад

    Excellent video! Is there a way do use fuzzy matching to find fuzzy matches in one data set? Like two names spelt differently in the same table

    • @marynabatova4867
      @marynabatova4867 11 месяцев назад

      I just Added the needed Table to Power Query.. and then duplicated the table on the right hand navi , then compared the same column against itself actually.. it seems to work

  • @user-tn5zo1mx9n
    @user-tn5zo1mx9n 2 года назад

    fantastic

  • @strngf7
    @strngf7 2 года назад

    This is for Excel 2010. The option for fuzzy match under join kind is not showing. Any ideas why?

  • @adrishasaha1573
    @adrishasaha1573 Год назад

    I am using 2019 version of excel. When i entered into merge query threshold level is not showing. Pls advise what to do next

  • @mamalik1088
    @mamalik1088 2 года назад

    Nice

  • @shahinakhatoon2114
    @shahinakhatoon2114 2 года назад

    Sir ...please tell me how to make merit list according to marks and date of birth...

    • @shahinakhatoon2114
      @shahinakhatoon2114 2 года назад

      If candidates have same marks then how to prepare merit list according to date of birth

  • @nth.education
    @nth.education 2 года назад

    Will this also work with 500,000+ rows data sets ? Or should we use R/Python for those ?

  • @janardhanreddy9836
    @janardhanreddy9836 2 года назад

    But there's no fuzzy lookup object in 2016 version pls guide where can I get option

    • @Yodalearning
      @Yodalearning  2 года назад

      Important Note:
      This is only in Office 365. If you have the perpetual licensed version of Excel 2016, you won't get it. It isn't even in Excel 2019. It will likely exist in Excel 2022 (or whenever they launch another perpetual license version), or you can get today with Office 365. For now, you can practice by downloading Microsoft Power BI Desktop (free) - www.microsoft.com/en-us/download/details.aspx?id=58494

  • @marctemura2017
    @marctemura2017 2 года назад

    👍⭐

  • @ansarymariama2467
    @ansarymariama2467 Год назад

    www ❤❤❤❤

  • @gopalkumargupta1985
    @gopalkumargupta1985 11 месяцев назад

    Sir how I contact you. I need your help

  • @01716392471
    @01716392471 11 месяцев назад

    Excellent .. just love it

  • @smitashevade3746
    @smitashevade3746 2 года назад

    I am sending mail and also doing whatsapp to change my email id.
    My name is Smita Shevade and I joined in Oct 20.