I’m doing a project to crossmatch addresses from various internal and external systems.
I have two tables containing addresses, each address has an ID and a grid reference - two fields, Easting and Northing (these represent the distance in metres from a zero point).
A third table holds the matching information ie the IDs of the matched records.
I want to take the records which have not been matched in table 1 and identify any records in table 2 where the Easting and Northings are the both the same +/- 15
I can’t think where to start on this – can anyone suggest an approach?
Rosie
"Don't try to improve one thing by 100%, try to improve 100 things by 1%
I have two tables containing addresses, each address has an ID and a grid reference - two fields, Easting and Northing (these represent the distance in metres from a zero point).
A third table holds the matching information ie the IDs of the matched records.
I want to take the records which have not been matched in table 1 and identify any records in table 2 where the Easting and Northings are the both the same +/- 15
I can’t think where to start on this – can anyone suggest an approach?
Rosie
"Don't try to improve one thing by 100%, try to improve 100 things by 1%