I am using the following 3 formulas to determine the absolute difference between all similar inventory transactions and the median value. They work fine but they greatly diminish the speed of my report. I've tested this by deleting the formulas and the report runs smoothly again. How can I improve these formulas to get my desired result? The table holds approx. 1.5 million rows. Is it because the last formula is a column? Is it because the sheer number of rows? Is there a way to simplify all 3 formulas into one?
Measure: [This tells me the median receipt quantity from the last 90 days of transactions available in the report]
Median Receipts =
CALCULATE(
MEDIAN(InvTx[Qty]),
InvTx[Tx Type] = "RECEIVING",
ALLEXCEPT( InvTx, InvTx[Station], InvTx[Other Inv Name], InvTx[IMF], InvTx[Inv Name] )
)
Measure: [This tells me the absolute difference as a percentage]
% Diff Median Receipts =
IF( SUM(InvTx[Qty]) = 0, "0 Qty Rec",
ABS( SUM(InvTx[Qty]) / [Median Receipts] ) -1
)
Column: [This allows me to classify the results into a category for easier analysis]
Tx Category C =
IF( InvTx[% Diff Median Receipts] = "0 Qty Rec", "0 Rcpt",
IF( InvTx[Median Receipts] = 0, "0 Median",
IF(InvTx[% Diff Median Receipts] < -.70, "Below",
IF(InvTx[% Diff Median Receipts] >= -.70 && InvTx[% Diff Median Receipts] < .70, "Average",
IF(InvTx[% Diff Median Receipts] >= .70, "Above"
)
)
)
)
)
