Difference between revisions of "Steps Required to Synchronize Companies and Contacts"

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The following steps need to be followed in order to implement this feature.
 
The following steps need to be followed in order to implement this feature.
* Establish a common [[Role|role]] for contacts and a category for companies that will be used to pass [[Custom Field|custom field]] data between instances.  Each [[Instance|instance]] should use the same [[Role|role]] and category.
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* Establish a common [[Role|role]] for contacts and a category for companies that will be used to pass [[Custom Field|custom field]] data between instances.  The name of the [[Role|role]] and category used must be the same in each [[Instance|instance]].
 
* Activate the '''Object Sync Feature''' in each [[Instance|instance]] through the [[Global Settings]] page.
 
* Activate the '''Object Sync Feature''' in each [[Instance|instance]] through the [[Global Settings]] page.
* The [[Instance|instance]] details must be added to both instances.
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* The details of the other [[Instance|instance]] must be added to both instances.
 
* An encryption key must be generated for each organisation that exchanges data.
 
* An encryption key must be generated for each organisation that exchanges data.
 
* Securely pass the encryption key to the appropriate organisation.
 
* Securely pass the encryption key to the appropriate organisation.

Revision as of 13:56, 18 May 2010

The following steps need to be followed in order to implement this feature.

  • Establish a common role for contacts and a category for companies that will be used to pass custom field data between instances. The name of the role and category used must be the same in each instance.
  • Activate the Object Sync Feature in each instance through the Global Settings page.
  • The details of the other instance must be added to both instances.
  • An encryption key must be generated for each organisation that exchanges data.
  • Securely pass the encryption key to the appropriate organisation.
  • Test the process thoroughly with sample data before using the feature in a production setting.