I need to Calculate Ratio of our WINS where the manufacturer is not equal CISCO and certain other filtering to be applied. The formula is not giving me any error but it is not showing me the result. It throws "See Details Error". Kindly help.
Solved! Go to Solution.
GS Ratio =
DIVIDE (
CALCULATE (
SUMX (
'Closed Opprtunities',
'Closed Opprtunities'[TS] + 'Closed Opprtunities'[SS] + 'Closed Opprtunities'[MS] + 'Closed Opprtunities'[TRNG] + 'Closed Opprtunities'[CS]
),
FILTER (
'Closed Opprtunities',
'Closed Opprtunities'[OEM] <> "CISCO"
&& 'Closed Opprtunities'[Attach] <= 0
&& 'Closed Opprtunities'[SNT] <= 0
&& 'Closed Opprtunities'[VBR] <= 0
)
),
[TOTAL-WINS],
0
)
Question : IS [TOTAL-WINS] is a measure? if no then use some aggregation on same
Also if this does not answer your question please provide sample data for Power bi model for same and include some screenshots too.
Thanks,
Harry
GS Ratio =
DIVIDE (
CALCULATE (
SUMX (
'Closed Opprtunities',
'Closed Opprtunities'[TS] + 'Closed Opprtunities'[SS] + 'Closed Opprtunities'[MS] + 'Closed Opprtunities'[TRNG] + 'Closed Opprtunities'[CS]
),
FILTER (
'Closed Opprtunities',
'Closed Opprtunities'[OEM] <> "CISCO"
&& 'Closed Opprtunities'[Attach] <= 0
&& 'Closed Opprtunities'[SNT] <= 0
&& 'Closed Opprtunities'[VBR] <= 0
)
),
[TOTAL-WINS],
0
)
@Anonymousthanks a lot but getting this error. Screen shot attached.
can you check data types of columns you have used in filter arguments. Or else share some sample data
Attach, SNT, VBR should be of integer type and OEM should be of type text
Columns used in sumx should be of type integer
ACV BKG | Close Date | Close Month | Stage |
8,994,484 | 6/28/2019 | 6/1/2019 | Deal Won |
8,293,220 | 8/12/2019 | 8/1/2019 | Deal Won |
6,769,000 | 4/26/2019 | 4/1/2019 | Deal Won |
5,600,000 | 9/25/2019 | 9/1/2019 | Deal Won |
4,872,278 | 6/28/2019 | 6/1/2019 | Deal Won |
4,872,278 | 6/28/2019 | 6/1/2019 | Deal Won |
4,660,000 | 7/30/2019 | 7/1/2019 | Deal Won |
4,153,750 | 10/26/2019 | 10/1/2019 | Deal Won |
4,153,750 | 10/26/2019 | 10/1/2019 | Deal Won |
3,675,862 | 4/10/2019 | 4/1/2019 | Deal Won |
3,586,207 | 4/10/2019 | 4/1/2019 | Deal Won |
3,307,980 | 9/30/2019 | 9/1/2019 | Deal Won |
3,100,000 | 9/25/2019 | 9/1/2019 | Deal Won |
3,080,000 | 7/31/2019 | 7/1/2019 | Deal Won |
2,943,701 | 9/30/2019 | 9/1/2019 | Deal Won |
2,800,000 | 4/30/2019 | 4/1/2019 | Deal Won |
2,797,094 | 9/29/2019 | 9/1/2019 | Deal Won |
2,550,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,500,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,500,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,400,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,400,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,313,993 | 4/17/2019 | 4/1/2019 | Deal Won |
2,100,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,000,000 | 4/17/2019 | 4/1/2019 | Deal Won |
2,000,000 | 4/17/2019 | 4/1/2019 | Deal Won |
1,713,780 | 6/22/2019 | 6/1/2019 | Deal Won |
1,500,000 | 5/31/2019 | 5/1/2019 | Deal Won |
1,468,128 | 7/30/2019 | 7/1/2019 | Deal Won |
1,350,000 | 9/13/2019 | 9/1/2019 | Deal Won |
1,311,500 | 4/23/2019 | 4/1/2019 | Deal Won |
1,219,316 | 7/26/2019 | 7/1/2019 | Deal Won |
1,213,993 | 4/17/2019 | 4/1/2019 | Deal Won |
1,208,346 | 4/26/2019 | 4/1/2019 | Deal Won |
1,178,621 | 5/1/2019 | 5/1/2019 | Deal Won |
1,100,000 | 8/30/2019 | 8/1/2019 | Deal Won |
1,088,000 | 9/13/2019 | 9/1/2019 | Deal Won |
1,012,701 | 7/5/2019 | 7/1/2019 | Deal Won |
997,728 | 5/31/2019 | 5/1/2019 | Deal Won |
942,070 | 10/11/2019 | 10/1/2019 | Deal Won |
920,000 | 9/13/2019 | 9/1/2019 | Deal Won |
900,000 | 11/6/2019 | 11/1/2019 | Deal Won |
864,232 | 6/24/2019 | 6/1/2019 | Deal Won |
830,200 | 5/2/2019 | 5/1/2019 | Deal Won |
800,000 | 4/11/2019 | 4/1/2019 | Deal Won |
778,156 | 7/13/2019 | 7/1/2019 | Deal Won |
773,388 | 7/30/2019 | 7/1/2019 | Deal Won |
733,925 | 7/15/2019 | 7/1/2019 | Deal Won |
728,000 | 8/23/2019 | 8/1/2019 | Deal Won |
718,000 | 4/26/2019 | 4/1/2019 | Deal Won |
690,000 | 7/20/2019 | 7/1/2019 | Deal Won |
652,000 | 5/30/2019 | 5/1/2019 | Deal Won |
645,982 | 6/28/2019 | 6/1/2019 | Deal Won |
638,006 | 10/18/2019 | 10/1/2019 | Deal Won |
630,443 | 7/26/2019 | 7/1/2019 | Deal Won |
630,000 | 6/21/2019 | 6/1/2019 | Deal Won |
621,000 | 5/25/2019 | 5/1/2019 | Deal Won |
600,700 | 7/26/2019 | 7/1/2019 | Deal Won |
600,000 | 8/9/2019 | 8/1/2019 | Deal Won |
599,591 | 7/29/2019 | 7/1/2019 | Deal Won |
596,914 | 5/31/2019 | 5/1/2019 | Deal Won |
580,000 | 9/11/2019 | 9/1/2019 | Deal Won |
570,000 | 5/31/2019 | 5/1/2019 | Deal Won |
550,000 | 5/15/2019 | 5/1/2019 | Deal Won |
537,578 | 7/12/2019 | 7/1/2019 | Deal Won |
529,788 | 10/25/2019 | 10/1/2019 | Deal Won |
524,000 | 6/6/2019 | 6/1/2019 | Deal Won |
518,000 | 7/1/2019 | 7/1/2019 | Deal Won |