R
RFJ
I've got a prototype database that handles pay surveys. Data is entered by
organisation and is reported by job level, quartile, average, etc.. The
statistical element is quite complex so has over a hundred queries, many of
which form unions.
I want to enhance the design of the database (mark 2) so I can select the
organisations that form the analysis (eg by company size, location, etc.).
The selection criteria will be on up to ten specific fields but the values
in the fields will change (eg I might need large organisations (by turnover)
in a certain sector - and then for another analysis, medium sized
organisations). As the analyses are client driven, I can't predict what
comes next - so will probably need an approach akin to QBF
Any ideas on how I might proceed.
TIA
ROb
organisation and is reported by job level, quartile, average, etc.. The
statistical element is quite complex so has over a hundred queries, many of
which form unions.
I want to enhance the design of the database (mark 2) so I can select the
organisations that form the analysis (eg by company size, location, etc.).
The selection criteria will be on up to ten specific fields but the values
in the fields will change (eg I might need large organisations (by turnover)
in a certain sector - and then for another analysis, medium sized
organisations). As the analyses are client driven, I can't predict what
comes next - so will probably need an approach akin to QBF
Any ideas on how I might proceed.
TIA
ROb