DATA & BUSINESS INTELLIGENCE

Data Migration

CAPABILITY

Data Migration

Businesses manage vast data across multiple systems, making migration to new platforms like ERP, CRM, or HCM complex. Challenges include format mismatches, incomplete or outdated data, and broken relationships between legacy and new systems. Modern platforms also require enhanced data for advanced functionalities.

TechTorch’s Data Migration Capability streamlines this process with AI, automation, and data science, ensuring clean, enriched, and connected data. Our solution minimizes downtime, reduces errors, and accelerates implementation.

Challenges

Challenges in Data Migration and Integration

Inconsistent Formats: Legacy systems and modern platforms use different data structures and formats.

Complex Relationship: Links between datasets in legacy systems often break during migration.

Business Continuity: Maintaining operational functionality during the migration process.

Data Quality Issues: Legacy data often contains errors or missing information.

Scalability and Performance: Large datasets can overwhelm traditional migration methods.

benefits

Benefits of Data Migration

Improved Data Quality: Cleansing and enrichment ensure accurate and actionable data.

Seamless Integration: Ensure all data relationships and connections are re-established in the new system.

Faster Implementation: Automation accelerates the migration timeline, reducing project delays.

Enhanced Functionality: Prepare data for advanced features in modern systems.

Scalability: Manage and migrate large datasets with ease.

Risk Mitigation: Reduce errors and downtime during the transition.

Migrating data? Let’s make it smooth.

TechTorch’s capability cleans, enriches, and connects your data—so you migrate faster, with fewer errors and zero surprises.

case studies

Migrating CRM Data for a Growing SaaS Company

A rapidly growing SaaS company needed to migrate data from an outdated on-premise CRM system to Salesforce. The legacy CRM housed incomplete and inconsistent customer records, and the data relationships did not align with Salesforce’s data model… 

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