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One often overlooked factor in the success of your CRM implementation is data quality. Clean, accurate data means better reporting and more actionable insights. At Gears, we take data management very seriously and have a team of Technical Architects with deep expertise in how data flows through Salesforce.

Good Data Matters

Security

The security of our customers’ data is our first priority. We have a proven methodology that ensures our handling of client data is secure and controlled.

Large Data

Our process and tools allow us to import, export and transform millions of records with ease. We adhere to Salesforce best practices around Large Data Volumes (LDV).

GDPR

We comply with GDPR guidelines for the transfer of personal data outside of the European Union. Our team works with clients to execute their specific GDPR processes.

Data Migration Approaches

We work with our customers to create a data migration plan that meets their timeline and budget.

Full Service Migration

Let our team take care of your entire migration initiative from data mapping right through to the insert of your data to production. Our full service migration offering includes standard or custom objects, mock migrations and full project coordination with your team.

Migration Lite

For organizations who have a strong grasp of their data and in-house resources, we provide key assets and mapping documentation to set the migration up for success.  Ideal environments include those with less than 20 objects to migrate, minimal custom development and a low volume of data.

Build Your Own Migration

If you have a small migration you’d like to tackle in-house, set your project up for success with the direction of the Gears Data Services team. We will provide you with documentation, methodology and the expert guidance required to assist you in your migration initiative.

Just a few of our Data Management Services:
  • Data Architecture Roadmap
  • Integration with 3rd Party Systems utilizing ETL
  • Custom Integration Development
  • Data Cleansing & Normalization
  • Data Validation Rules
  • De-duplication Cleaning & Prevention
  • Data Management Products
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