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Configuring objects and automation before agreeing on lifecycle stages, handoffs, data standards, and decisions.
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Legacy CRM data moved into Salesforce clean — deduplicated, mapped, verified, and reconciled, not dumped.
Legacy CRM data moved into Salesforce clean — deduplicated, mapped, verified, and reconciled, not dumped.
The goal is not simply to complete a list of tasks. It is to remove a specific operational or customer constraint, prove the result, and leave clear ownership after delivery.
One accountable team connecting the decisions, quality checks, and handoff required for a durable result.
A CRM migration done badly poisons the new system on day one: duplicates everywhere, history missing, trust gone. Migration is a data quality project wearing a technical costume — treat it that way and the new org starts clean.
The platform mirrors historical spreadsheets and departmental silos instead of the desired customer lifecycle.
Data definitions, ownership, permissions, automation, and reporting differ across teams and integrations.
Users work around the system because required fields and workflows add effort without returning useful context.
We connect diagnosis, scope, execution, validation, and operational ownership. The package changes the depth and scale—not the discipline of the delivery system.
We confirm the desired outcome, users, current state, dependencies, risks, and evidence of success before prescribing salesforce data migration.
We translate source data audit and mapping document and deduplication and cleansing pass into visible decisions, responsibilities, milestones, and review criteria.
Delivery moves through reviewable increments with quality checks, exception handling, and stakeholder decisions recorded before they become rework.
We complete reconciliation report (counts match, provably), confirm handoff and escalation paths, and leave a practical measurement and improvement plan.
Every tier keeps the core controls below. Package level changes the volume, depth, complexity, or operating cadence.
Source data audit and mapping document
Deduplication and cleansing pass
Staged migration with validation loads
Relationship and history preservation
Reconciliation report (counts match, provably)
The visible deliverable is rarely the whole system. These are the recurring gaps we design out before they become delay, rework, or risk.
Configuring objects and automation before agreeing on lifecycle stages, handoffs, data standards, and decisions.
Migrating duplicates, obsolete fields, and inconsistent history without rules for reconciliation and validation.
Launching with technical training but no role-specific adoption, governance, backlog, or reporting ownership.
Our advantage is not a claim that trade-offs disappear. It is the ability to connect the decisions other providers often split apart, make quality visible, and leave ownership clear.
The operating process and decision model are designed before the platform is configured.
Data, permissions, integrations, automation, reporting, and adoption are planned as one implementation.
Migration and launch use rehearsal, reconciliation, acceptance tests, and a controlled support period.
Scope advantage: The scope makes source data audit and mapping document explicit, then connects it to deduplication and cleansing pass; those dependencies are less likely to disappear between separate vendors.
Final targets are set during alignment, using a baseline, a named owner, and a realistic measurement window. Typical measures include:
Adoption and required-data completeness
Handoff time and automation success
Pipeline, service, or lifecycle reporting accuracy
Standard
Complex
Enterprise
starting scope — final quote after data audit
Not sure which package fits? Build a guided project brief. We will use your goal, current stage, timing, and investment range to recommend the right package or a strategy session.
HubSpot, Zoho, Dynamics, Pipedrive, ACT!, spreadsheets, and custom databases — plus consolidating several at once, which is where the Complex tier earns its keep.
No — emails, notes, and timeline history are explicitly in scope. 'History didn't make it' is the migration failure we architect against.
It isn't — staged migration keeps the source live until final delta sync, so the team switches over a weekend, not a month.
