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Inaport for GoldMine

Inaport provides full support for GoldMine from FrontRange, covering versions 6.x, 7.x, 8.x and 9.x.


Integrate

Integrate your on-premise or hosted GoldMine system with other enterprise sources

  • Automatically handle web databases, marketing campaigns, telemarketing
  • Populate and update Companies with ERP data such as order history, products
  • Synchronize CRM data with other applications


Relationship Tree Builder

GoldMine Relationship Trees are very useful, but there is limited support in GoldMine for building and supporting them. If you want to make a tree with more than a single level, or with anything other than simple selection criteria, it has to be done manually.

Inaport gives you the ability to:

  • model simple and complex trees;
  • preview the trees before building;
  • build trees based on data in tables other than CONTACT1 (e.g. history or opportunities);
  • build and re-build trees as required, or automate the process


Import

Import data from any data source into any entity in GoldMine

  • Leads from Excel, Access, text files
  • Update Contacts from cleansed data
  • Accounting or ERP data into History or the Details tab


Migrate

Migrate legacy CRM systems such as ACT! or Salesforce to GoldMine.

  • Move all major entities such as Company, Person, History and Activities
  • Re-assign record ownership on the fly


Matching

When importing data into a CRM system, it is vital to ensure that the correct records are updated and that duplicates are not created.

Inaport provides an array of sophisticated techniques for matching accounts, contacts and any other data in the CRM system. Different methods can be used in the same job for different types of records, allowing you to handle complex requirements an optimise performance. More information here.

Data Transformation

Customer data frequently requires reformatting to ensure consistent, accurate and clean information is transferred. Inaport provides an extensive library of functions for data transformation and manipulation; the ability to add new fields to incoming data; and the ability to perform extensive conditional tests on data to allow for action based on data quality



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