Is there a better way
I was given a spare parts dataset with 3 columns, Stock No, Date Issued and Qty issued for 2017, 2018 & 2019
The aim was to obtain the usage for each year for each spare
I achieved, but usng a long winded approach i.e. over 4 steps
Step 1 I created a new column called YEAR, and I ran 3 separate select queries to assign the year in the new column for each issue (transaction)
Step 2 I created a cross tab query to see the quantity for each year
Step 3 I converted the cross tab query output into table, using a make table query
Step 4 I then linked the quantity per year table (new) with a 2nd table containing other data like unit price, etc
Can anyone suggest if this process can be streamlined a little