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jaylyn's avatar
jaylyn
Icon for Helper I rankHelper I
2 years ago

Static Measure-ALL() and Removefilters() not working

I am working with Power BI and facing an issue with calculating turnover rates based on tenure buckets while keeping the average headcount for the last 12 months consistent across different tenure ranges. Specifically, the turnover rate should always use a static average headcount value, but the current setup causes the average headcount to vary based on the tenure bucket slicer applied.

 

Turnover Rate = terms_last_12months / avg headcount last_12months

 

  • Issue: When I place the avg headcount last_12months measure on a table with tenure buckets and terminations by tenure bucket, the average headcount value is being broken down by the tenure bucket slicer, rather than remaining static.

  • Desired Outcome: I want the avg headcount last_12months to remain static and consistent across all tenure buckets, regardless of the tenure bucket filter applied. This static average headcount should be used as the denominator in the turnover rate calculation, while the terminations should be accurately calculated based on the tenure bucket.

  • Consistency Check: If the turnover rate shows, for example, 50.1% on a card, the sum of the turnover rates when broken down by tenure range should also total 50.1%. The calculated turnover rates by tenure bucket should match the overall turnover rate displayed on the card.

Attempted Solutions

  • Using REMOVEFILTERS: Attempted to keep the average headcount static by removing filters on tenure buckets and dates, but this did not work as expected.
  • Using ALL and ALLSELECTED Functions: Tried various combinations of these functions to achieve a static average headcount, but encountered issues with maintaining the static nature across different contexts.
  • Creating a Static Table: Tried using a static table with a hardcoded value, but this is not ideal and does not update dynamically with the data.

 

I believe the best way to solve my situation is to make "avg headcount last_12months" static - please assist with this or show me another approach. 

 

 

 

6 Replies

  • Hi jaylyn - create a measure that calculates the average headcount over the last 12 months without being affected by the tenure bucket slicer.

    Static Avg Headcount Last 12 Months =
    CALCULATE(
    [Avg Headcount Last 12 Months],
    REMOVEFILTERS('Tenure Table'[Tenure Bucket])
    )

     

    use the static average headcount measure in your turnover rate calculation measure

    Turnover Rate =
    DIVIDE(
    [Terms Last 12 Months],
    [Static Avg Headcount Last 12 Months],
    0
    )

     

    Hope this works, still issue exist, please share the sample data for reference .

    • jaylyn's avatar
      jaylyn
      Icon for Helper I rankHelper I

      Hi, Raj- 

      i did do that but it's still behaving the same, it really doesn't make sense that the removefilters isn't working. Here is a calculation of my avg hc last 12M just to make sure it's not the problem:

       

      Active-1ago =

      CALCULATE(
          DISTINCTCOUNT('Employee'[EED]),
        Employee[Hiredate] <= EOMONTH(MAX('Date'[Date]), -1) &&
        Employee[TerminationDate]> EOMONTH(MAX('Date'[Date]), -1)
      )
       
      ----
      Active-10ago =

      CALCULATE(
          DISTINCTCOUNT('Employee'[EEID]),
        Employee[Hiredate] <= EOMONTH(MAX('Date'[Date]), -10) &&
        Employee[Termination_Date]> EOMONTH(MAX('Date'[Date]), -10)
      )
       
      i have this measure 12x (including current-month) - each time i'm changing the -10 to -2 or -3 and etc.
       
       
      avg headcount last_12months =
      ([Active] +
      [Active-1ago] +
      [Active-2ago] +
      [Active-3ago] +
      [Active-4ago] +
      [Active-5ago] +
      [Active-6ago] +
      [Active-7ago] +
      [Active-8ago] +
      [Active-9ago]+
      [Active-10ago] +
      [Active-11ago]
      )
      / 12


      //calculates avg HC for last 12 months, including current month
       
       
      here is my tenure bucket:
       
      Tenure bucket =

      SWITCH(
          TRUE(),
      Employee[TenureMonth] <= 3, "  0-3 Months",
          Employee[TenureMonth] <= 6, "  3-6 Months",
          Employee[TenureMonth] <= 9, "  6-9 Months",
          Employee[TenureMonth] <= 12, " 9-12 Months",
          Employee[TenureMonth] <= 18, "12-18 Months",
          Employee[TenureMonth] <= 24, "18-24 Months",
          Employee[TenureMonth] <= 30, "24-30 Months",
          Employee[TenureMonth] <= 36, "30-36 Months",
          Employee[TenureMonth] <= 42, "36-42 Months",
          Employee[TenureMonth] < 48, "42-48 Months",
          TRUE(), "   48+ Months"  // Adjusted to three spaces before "48+ Months"
      )
  • sample data:

    thank you!

     

    Tenure bucketEEID TenureMonthTerminationDateHiredate
      0-3 Months133/22/20211/4/2021
      0-3 Months212/5/20211/11/2021
      0-3 Months317/6/20215/31/2021
      0-3 Months418/3/20217/12/2021
      0-3 Months5211/23/20219/13/2021
      0-3 Months621/24/202211/15/2021
      0-3 Months713/9/20221/31/2022
      0-3 Months812/18/20221/24/2022
      0-3 Months904/26/20224/26/2022
      0-3 Months1018/26/20228/8/2022
      0-3 Months11211/4/20228/22/2022
      0-3 Months1209/3/20228/29/2022
      0-3 Months1334/30/20232/6/2023
      0-3 Months14310/26/20237/31/2023
      0-3 Months15212/22/202310/16/2023
      0-3 Months1623/22/20242/5/2024
      0-3 Months1702/22/20242/15/2024
      3-6 Months1855/3/202111/30/2020
      3-6 Months1934/9/202112/28/2020
      3-6 Months20512/7/20216/28/2021
      3-6 Months2154/1/202210/25/2021
      3-6 Months2253/25/202211/1/2021
      3-6 Months2368/8/20222/14/2022
      3-6 Months2449/2/20225/2/2022
      3-6 Months2562/21/20239/7/2022
      3-6 Months2653/10/202310/10/2022
      3-6 Months2766/30/20231/2/2023
      3-6 Months2862/27/20249/11/2023
      3-6 Months2955/15/202412/11/2023
      6-9 Months3092/18/20226/7/2021
      6-9 Months3172/14/20228/2/2021
      6-9 Months3277/21/20211/4/2021
      6-9 Months3376/13/202211/29/2021
      6-9 Months3466/3/202211/29/2021
      6-9 Months35610/17/20224/18/2022
      6-9 Months36812/31/20225/9/2022
      6-9 Months3782/28/20237/5/2022
      6-9 Months3869/9/20233/6/2023
      6-9 Months39912/30/20234/14/2023
      6-9 Months4071/8/20246/26/2023
      6-9 Months4173/21/20249/5/2023
      6-9 Months4285/10/20249/5/2023
      6-9 Months4377/2/202412/11/2023
      6-9 Months4477/28/20241/9/2024
     9-12 Months45106/25/20248/28/2023
     9-12 Months46113/1/20224/12/2021
     9-12 Months471110/25/202111/16/2020
     9-12 Months48104/30/20216/24/2020
     9-12 Months49112/4/20223/8/2021
     9-12 Months50101/24/20224/12/2021
     9-12 Months51124/15/20224/26/2021
     9-12 Months5295/9/20228/2/2021
     9-12 Months53128/19/20228/30/2021
     9-12 Months541010/8/202211/29/2021
     9-12 Months551011/2/20221/17/2022
     9-12 Months561011/14/20221/17/2022
     9-12 Months57105/2/20237/11/2022
     9-12 Months58116/2/20237/18/2022
     9-12 Months5996/30/20239/26/2022
     9-12 Months60129/16/20239/26/2022
     9-12 Months611110/13/202311/21/2022
     9-12 Months62115/18/20246/26/2023
     9-12 Months63117/19/20248/14/2023
    12-18 Months64184/18/202210/29/2020
    12-18 Months65174/19/202111/18/2019
    12-18 Months66156/18/20213/23/2020
    12-18 Months671711/23/20216/24/2020
    12-18 Months681412/3/202110/5/2020
    12-18 Months691210/29/202111/2/2020
    12-18 Months70152/25/202212/14/2020
    12-18 Months71165/13/20221/5/2021
    12-18 Months72164/29/20221/4/2021
    12-18 Months73147/29/20226/7/2021
    12-18 Months741711/10/20226/7/2021
    12-18 Months751610/11/20226/7/2021
    12-18 Months761610/21/20226/21/2021
    12-18 Months77126/10/20226/14/2021
    12-18 Months78153/31/20231/10/2022
    12-18 Months79133/31/20233/7/2022
    12-18 Months80156/17/20233/16/2022
    12-18 Months81137/14/20236/6/2022
    12-18 Months82159/8/20236/13/2022
    12-18 Months831410/7/20238/17/2022
    12-18 Months841612/21/20238/22/2022
    12-18 Months85172/14/20249/19/2022
    12-18 Months86143/29/20242/6/2023
    12-18 Months87135/18/20244/24/2023
    12-18 Months88137/13/20246/12/2023
    12-18 Months89138/2/20247/24/2023
    18-24 Months90227/30/202110/7/2019
    18-24 Months91206/11/202110/8/2019
    18-24 Months92239/2/202210/5/2020
    18-24 Months93201/13/20235/24/2021
    18-24 Months94201/1/20235/24/2021
    18-24 Months95223/21/20235/27/2021
    18-24 Months96203/11/20237/5/2021
    18-24 Months97238/18/20239/13/2021
    18-24 Months98237/28/20238/23/2021
    18-24 Months99182/25/20238/24/2021
    18-24 Months100196/9/202311/18/2021
    18-24 Months101219/1/202311/29/2021
    18-24 Months1022110/23/20231/17/2022
    18-24 Months103219/29/20231/17/2022
    18-24 Months104191/31/20247/11/2022
    18-24 Months105203/15/20247/18/2022
    18-24 Months106192/29/20247/25/2022
    18-24 Months107203/19/20248/1/2022
    18-24 Months108215/10/20248/8/2022
    18-24 Months109216/5/20249/26/2022
    24-30 Months110294/16/202112/12/2018
    24-30 Months111261/5/202212/2/2019
    24-30 Months112252/2/20221/20/2020
    24-30 Months113299/30/20235/17/2021
    24-30 Months1142910/26/20236/7/2021
    24-30 Months115263/15/20241/17/2022
    24-30 Months116263/8/20241/17/2022
    24-30 Months117267/10/20245/23/2022
    24-30 Months118268/2/20246/29/2022
    24-30 Months119257/31/20247/18/2022
    30-36 Months120336/21/20249/22/2021
    30-36 Months121334/8/20238/3/2020
    30-36 Months122321/30/20246/28/2021
    30-36 Months123356/1/20247/5/2021
    30-36 Months124303/19/20249/20/2021
    36-42 Months1254211/24/20236/24/2020
    36-42 Months126385/1/20213/5/2018
    36-42 Months1273610/7/202210/12/2019
    36-42 Months1283710/28/202210/12/2019
    36-42 Months1293710/28/202210/12/2019
    36-42 Months130401/14/202310/12/2019
    36-42 Months1313710/28/202210/12/2019
    42-48 Months132442/25/20227/2/2018
    42-48 Months133477/19/20229/17/2018
    42-48 Months134467/15/202210/8/2018
    42-48 Months135458/12/202211/19/2018
       48+ Months1364099/30/20232/19/1990
       48+ Months1373597/1/20241/11/1995
       48+ Months1382861/28/20228/3/1998
       48+ Months1391861/3/20229/11/2006
       48+ Months1401523/8/20229/9/2009
       48+ Months1411503/8/202310/28/2010
       48+ Months142546/17/20241/6/2020
       48+ Months1431479/30/20238/29/2011
       48+ Months1441468/18/20238/29/2011
       48+ Months14513410/1/20229/20/2011
       48+ Months1461175/28/202110/31/2011
       48+ Months1471263/21/202211/11/2011
       48+ Months1481201/6/20232/18/2013
       48+ Months14911811/11/20223/11/2013
       48+ Months1501017/9/20213/29/2013
       48+ Months1511018/2/20214/29/2013
       48+ Months1521138/12/20225/6/2013
       48+ Months1531117/1/20235/28/2014
       48+ Months1541237/1/20245/19/2014
       48+ Months155945/26/20228/25/2014
       48+ Months1569912/30/202211/10/2014
       48+ Months157744/27/20213/19/2015
       48+ Months158736/5/20216/22/2015
       48+ Months159749/29/20219/14/2015
       48+ Months160768/14/20235/29/2017
       48+ Months16112111/8/202112/12/2011
       48+ Months1621051/3/20225/13/2013
       48+ Months1638112/31/20215/18/2015
       48+ Months1643232/1/20227/17/1995
       48+ Months1652332/14/20221/6/2003
       48+ Months16621610/3/20221/10/2005
       48+ Months16719510/3/20219/21/2005
       48+ Months1682184/27/20236/15/2005
       48+ Months1694124/1/20235/29/1989
       48+ Months1701986/17/20223/24/2006
       48+ Months1711849/30/20218/11/2006
       48+ Months1723816/1/20222/20/1991
       48+ Months1733091/31/20249/21/1998
       48+ Months1743114/30/202410/27/1998
       48+ Months1753494/1/20238/15/1994
       48+ Months1763299/25/20219/19/1994
       48+ Months1777410/29/202110/12/2015
       48+ Months178795/18/202311/7/2016
       48+ Months1798410/4/202311/7/2016
       48+ Months180625/11/20223/27/2017
       48+ Months181625/26/20224/24/2017
       48+ Months182609/2/20229/29/2017
       48+ Months1831025/23/20241/11/2016
       48+ Months184485/1/20215/21/2017
       48+ Months185746/9/20235/21/2017
       48+ Months1867612/16/20239/4/2017
       48+ Months187845/27/20226/29/2015
       48+ Months188814/19/20228/12/2015
       48+ Months189948/4/202311/25/2015
       48+ Months190577/16/202111/8/2016
       48+ Months191628/29/20238/6/2018
       48+ Months192685/31/202410/25/2018
       48+ Months1936112/11/202312/17/2018
       48+ Months194579/8/20231/7/2019
       48+ Months195546/2/20231/7/2019
       48+ Months196543/22/202410/23/2019
       48+ Months197576/14/202410/12/2019

     

     

  •  

     

     

    * disconnected date table (no relationship in data model with date and Employee table)
    * Terms last 12M shows correctly when placed on table
    with tenure bucket

    * turnover shows correctly when placed on table/card without the tenure bucket- when tenure bucket is added, it is spliced incorrectly 

    * In this example, 13.2% is what i should get

     

    ---------------------------

    terms_last_12months (new) =

    VAR currentdate = MAX('Date'[Date])

    VAR end_of_current_month = EOMONTH(currentdate, 0)  

    VAR tweleve_month_ago_start = EOMONTH(end_of_current_month, -12) + 1


    RETURN


    CALCULATE(

        DISTINCTCOUNT(Employee[EEID]),

     Employee[TerminationDate] >= tweleve_month_ago_start &&

       Employee[TerminationDate] <= end_of_current_month

    )

     

     

    0-3Months

    terms last 12M = 4

    avg hc last 12 months = 470

    turnover = 4/470 = 0.851%

    3-6Months

    terms last 12M = 2

    avg hc last 12 months = 470

    turnover = 2/470 = 0.4255%

    6-9Months

    terms last 12M = 7

    avg hc last 12 months = 470

    turnover = 7/470 = 1.489%

    9-12Months

    terms last 12M = 5

    avg hc last 12 months = 470

    turnover = 5/470 =1.0638%

    12-18Months

    terms last 12M = 8

    avg hc last 12 months = 470

    turnover = 8/470 =1.702%

    18-24Months

    terms last 12M = 9

    avg hc last 12 months = 470

    turnover = 9/470 = 1.915%

    24-30Months

    terms last 12M = 7

    avg hc last 12 months = 470

    turnover = 7/470 = 1.489%

    30-36Months

    terms last 12M = 4

    avg hc last 12 months = 470

    turnover = 4/470 = 0.851%

    36-42Months

    terms last 12M = 1

    avg hc last 12 months = 470

    turnover = 1/470 = 0.213%

    48+Months

    terms last 12 months = 15

    avg hc last 12 months = 470

    turnover = 15/470 = 3.19%

    avg hc last 12M = 470

    term last 12 M = 62

    turnover = 62/470 =13.2%

    turnover % = 13.2%

     

  • sample data for avg hc

    EEDHiredateTerminationDate
    18/18/20031/1/2099
    29/8/20031/1/2099
    39/8/20031/1/2099
    410/20/19871/1/2099
    51/2/20041/1/2099
    64/7/19801/1/2099
    75/17/19941/1/2099
    810/2/19881/1/2099
    99/14/19941/1/2099
    102/28/20051/1/2099
    111/10/19951/1/2099
    121/11/19957/1/2024
    133/1/20211/1/2099
    147/7/19981/1/2099
    152/14/20111/1/2099
    161/29/19961/1/2099
    174/24/20061/1/2099
    185/27/19971/1/2099
    197/10/20061/1/2099
    2010/1/20061/1/2099
    211/12/20071/1/2099
    223/26/20071/1/2099
    233/20/19981/1/2099
    244/3/20001/1/2099
    252/4/19991/1/2099
    2610/9/20071/1/2099
    2711/2/20071/1/2099
    286/7/20101/1/2099
    297/5/20111/1/2099
    3011/26/20071/1/2099
    319/20/19991/1/2099
    321/2/20081/1/2099
    331/11/20081/1/2099
    345/8/20001/1/2099
    359/2/20081/1/2099
    369/9/20091/1/2099
    379/22/20091/1/2099
    385/1/20101/1/2099
    393/19/20071/1/2099
    4010/2/20001/1/2099
    4111/5/20071/1/2099
    421/8/20011/1/2099
    434/2/20011/1/2099
    4411/9/20101/1/2099
    451/7/20081/1/2099
    4611/5/20011/1/2099
    4711/5/20011/1/2099
    481/6/20206/17/2024
    495/16/20111/1/2099
    505/23/20111/1/2099
    517/1/20111/1/2099
    527/11/20111/1/2099
    536/29/20111/1/2099
    547/11/20111/1/2099
    5510/31/20111/1/2099
    5610/31/20111/1/2099
    5711/7/20111/1/2099
    581/30/20121/1/2099
    591/30/20121/1/2099
    602/6/20121/1/2099
    612/4/20191/1/2099
    629/17/20121/1/2099
    631/14/20131/1/2099
    641/14/20131/1/2099
    652/18/20131/1/2099
    663/25/20241/1/2099
    676/3/20131/1/2099
    689/16/20131/1/2099
    699/13/20131/1/2099
    7010/14/20131/1/2099
    7110/29/20131/1/2099
    7212/9/20131/1/2099
    731/1/20141/1/2099
    741/6/20141/1/2099
    751/6/20141/1/2099
    761/20/20141/1/2099
    771/20/20141/1/2099
    781/21/20141/1/2099
    792/3/20141/1/2099
    802/17/20141/1/2099
    814/21/20141/1/2099
    823/24/20141/1/2099
    833/31/20141/1/2099
    846/24/202011/24/2023
    855/12/20141/1/2099
    867/8/20191/1/2099
    875/19/20147/1/2024
    886/2/20141/1/2099
    896/16/20141/1/2099
    907/14/20141/1/2099
    919/3/20141/1/2099
    928/25/20141/1/2099
    938/21/20141/1/2099
    947/1/20061/1/2099
    953/10/20031/1/2099
    9610/20/20141/1/2099
    971/5/20151/1/2099
    984/27/20151/1/2099
    997/27/20151/1/2099
    1006/1/20151/1/2099
    1016/15/20151/1/2099
    1027/6/20151/1/2099
    1038/3/20151/1/2099
    1048/3/20151/1/2099
    1059/22/20216/21/2024
    10611/2/20151/1/2099
    10711/2/20151/1/2099
    1082/8/20161/1/2099
    1092/22/20161/1/2099
    1102/22/20161/1/2099
    1116/20/20161/1/2099
    1127/11/20161/1/2099
    1138/1/20161/1/2099
    1148/28/20236/25/2024
    11512/21/20161/1/2099
    1162/6/20171/1/2099
    1173/20/20171/1/2099
    1184/24/20171/1/2099
    1199/11/20171/1/2099
    12010/23/20171/1/2099
    12110/16/20171/1/2099
    12210/30/20171/1/2099
    12311/13/20171/1/2099
    1241/29/20181/1/2099
    1253/5/20181/1/2099
    1265/7/20181/1/2099
    12711/29/20101/1/2099
    1288/8/20051/1/2099
    12910/12/20091/1/2099
    1303/15/20101/1/2099
    1315/17/20101/1/2099
    1327/5/20101/1/2099
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