Deduping Constituents and updating their contact preferences based on attributed date and value
Hi Everyone
I have 20K+ Constituents Records that I would like to dedupe. I have access to the 'Mass Merge' plugin, this is proving to very time consuming an manual. Can anyone please suggest a better way? For Instance I have 2 constituents A & B who are the same person. I want Constituent A to be the master record as it is older. But I also want to update the contact permissions if they are later from Constituent B, but not update them if the value is 'Unknown'. See the example below:
Is there a way I which I can do this based on a flat file containing the Constituent I would like to keep, the ones I would like to merge into this and the contact preferences I would like to set, I would like to do this on mass? As I have confidence already that these are the same people. Currently having to manually specify which of the constituents to keep and then further which contact preferences to keep. The whole process is extremely time consuming. Any alternative suggestions are appreciated.
n.b. I have access to a copy of the back end of Raiser Edge and thus can pull data out quickly and efficiently via SQL.
Thanks in advanced AJ
I have 20K+ Constituents Records that I would like to dedupe. I have access to the 'Mass Merge' plugin, this is proving to very time consuming an manual. Can anyone please suggest a better way? For Instance I have 2 constituents A & B who are the same person. I want Constituent A to be the master record as it is older. But I also want to update the contact permissions if they are later from Constituent B, but not update them if the value is 'Unknown'. See the example below:
| Constituent A | ||
| Constituent ID | ||
| Name | ||
| 02. Email Opt In | ||
| 03. SMS Opt In | ||
| 04. Telephone Opt In | ||
| 05. Post Opt In | ||
| Resulting - Constituent A amended | ||
| Constituent ID | ||
| Name | ||
| 02. Email Opt In | ||
| 03. SMS Opt In | ||
| 04. Telephone Opt In | ||
| 05. Post Opt In | ||
n.b. I have access to a copy of the back end of Raiser Edge and thus can pull data out quickly and efficiently via SQL.
Thanks in advanced AJ
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