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Hello,
Does anyone know how to compare the daily sales of a store with a given limit? I am trying to find out if the total daily sales irrespective of Currency are exceeding their limits per store. The limit table keeps on changing based on demand. Trying to build something with time intelligence so we can compare how many times the store went over its limits per year, quarter, or any different type of analysis.
| Sales Table | ||||
| PostDate | Branch | Currency | Balance | Limt |
| 2020-03-17 | Store 1 | GBP | 280713.49 | $ 200,000.00 |
| 2020-03-17 | Store 1 | USD | 11825.00 | $ 200,000.00 |
| 2020-03-17 | Store 1 | CAD | 5785.00 | $ 200,000.00 |
| 2020-03-18 | Store 1 | USD | 33424.00 | $ 300,000.00 |
| 2020-03-18 | Store 1 | CAD | -11228.00 | $ 300,000.00 |
| 2020-03-19 | Store 1 | CAD | 0.00 | $ 300,000.00 |
| 2020-03-19 | Store 1 | EUR | 202.50 | $ 300,000.00 |
| 2020-03-19 | Store 1 | GBP | 74.00 | $ 300,000.00 |
| 2020-03-19 | Store 1 | USD | 200.78 | $ 300,000.00 |
| 2020-11-16 | Store 1 | CAD | 60.00 | $ 300,000.00 |
| 2020-11-16 | Store 1 | CAD | 164580.00 | $ 300,000.00 |
| 2020-11-16 | Store 1 | USD | 11825.00 | $ 300,000.00 |
| 2021-11-16 | Store 1 | CAD | 5785.00 | $ 200,000.00 |
| 2021-11-16 | Store 1 | CAD | 33753.00 | $ 200,000.00 |
| 2021-11-17 | Store 1 | CAD | 290.66 | $ 200,000.00 |
| 2021-11-17 | Store 1 | CAD | 2314.00 | $ 200,000.00 |
| 2022-03-10 | Store 1 | CAD | 200.10 | $ 220,000.00 |
| 2022-03-10 | Store 1 | CAD | 303.00 | $ 220,000.00 |
| 2022-03-11 | Store 1 | USD | 200.28 | $ 220,000.00 |
| 2022-03-11 | Store 1 | CAD | 56998.10 | $ 220,000.00 |
| 2022-03-12 | Store 1 | EUR | 60134.32 | $ 220,000.00 |
| Limit Table | ||
| Date | Store Current Limit | Old Limit |
| 11/5/2018 | $200,000.00 | |
| 3/18/2020 | $300,000.00 | $200,000.00 |
| 8/17/2021 | $200,000.00 | $300,000.00 |
| 3/7/2022 | $220,000.00 | $200,000.00 |
Solved! Go to Solution.
Hi @rahulvyas
Try this measure to find the total number of days with overrun:
Over The Limit =
VAR _A =
SUMMARIZE (
'Sales Table',
'Sales Table'[PostDate],
"Sale", SUM ( 'Sales Table'[Balance] )
)
VAR _B =
ADDCOLUMNS (
_A,
"Limit",
CALCULATE (
MAX ( 'Limit Table'[ Store Current Limit ] ),
FILTER (
ALL ( 'Limit Table' ),
'Limit Table'[Date]
= CALCULATE (
MAX ( 'Limit Table'[Date] ),
FILTER ( ALL ( 'Limit Table' ), 'Limit Table'[Date] <= EARLIER ( [PostDate] ) )
)
)
)
)
VAR _C =
ADDCOLUMNS ( _B, "Over", IF ( [Sale] > [Limit], 1, 0 ) )
RETURN
SUMX ( _C, [Over] )
Download the sample file attached.
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
Hi:
Please find attached link comparing credit limit during period to balance. A new Limit table and Fact Table are in the model. I altered the format of the limit table so it can be used a bit easier down the road.
You can probably take it much further in terms of these changing dimensions by store and date, however I think this is what you are looking for for now. I hope so! Thanks
https://drive.google.com/file/d/1dziPjkIk2ub9vofzGUTu8krkl58aKZ7K/view?usp=sharing
Hi @rahulvyas
Try this measure to find the total number of days with overrun:
Over The Limit =
VAR _A =
SUMMARIZE (
'Sales Table',
'Sales Table'[PostDate],
"Sale", SUM ( 'Sales Table'[Balance] )
)
VAR _B =
ADDCOLUMNS (
_A,
"Limit",
CALCULATE (
MAX ( 'Limit Table'[ Store Current Limit ] ),
FILTER (
ALL ( 'Limit Table' ),
'Limit Table'[Date]
= CALCULATE (
MAX ( 'Limit Table'[Date] ),
FILTER ( ALL ( 'Limit Table' ), 'Limit Table'[Date] <= EARLIER ( [PostDate] ) )
)
)
)
)
VAR _C =
ADDCOLUMNS ( _B, "Over", IF ( [Sale] > [Limit], 1, 0 ) )
RETURN
SUMX ( _C, [Over] )
Download the sample file attached.
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
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