Move fast without breaking anything.
GTM Data Migration & System Modernisation
SiyaSphere migrates GTM teams off legacy CRMs and MarTech stacks without losing data or disrupting revenue. We design the target data model first, normalise and deduplicate records, and validate every load with AI-assisted checks and human QA. Teams land on a modern, integrated stack with clean data and documented governance.
Signs you need this
- You are running on a legacy CRM or disconnected marketing systems.
- A migration is overdue but downtime or data loss is not an option.
- Duplicate and inconsistent records undermine trust in your data.
- There is no documentation or governance for how data should be kept.
What you get
- Migrations from legacy CRMs and MarTech stacks without losing data or disrupting revenue operations
- Normalised, enriched, and consolidated customer data for a 360-degree view across systems
- Audit-ready migrations with full documentation and zero downtime
- Duplicate cleanup, fixed data quality issues, and a governance framework
- Seamless integrations between sales, marketing, and operations tools
How we deliver
Process first, tools second, with AI doing the heavy lifting and your team in control. See our 8-week process →
- 1
Target model design
Design the data model and processes for the new system before moving anything.
- 2
Clean and normalise
Deduplicate, normalise, and enrich records ahead of migration.
- 3
Validated migration
Migrate in batches with AI-assisted validation and human QA on every load.
- 4
Integrate and govern
Reconnect your stack and document governance so data stays clean.
Tools we work with
- Salesforce
- HubSpot
- Marketo
- Data Migration Tools
- AI Validation
Results from real engagements
Frequently asked questions
Can a CRM migration be done without downtime?+
Yes, with the right plan. We design the target model first, migrate in validated batches, and keep the existing system running until the new one is verified. One recent migration completed with zero downtime and 100% historical data integrity.
How do you protect data quality during a migration?+
We normalise and deduplicate data before it moves, run AI-assisted validation to flag anomalies at scale, and have people QA every batch before sign-off.
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