VEEVA CRM → SALESFORCE LIFE SCIENCES CLOUD
Modernize your Life Sciences CRM without carrying unnecessary legacy complexity into the future.
Cendance helps pharmaceutical, biotech and MedTech organizations assess and transition Veeva CRM data, integrations, customizations and business processes to Salesforce Life Sciences Cloud. Our approach begins with understanding the current environment and ends with a controlled, testable migration and adoption plan.
Life Sciences organizations using Veeva CRM on Salesforce are evaluating the next generation of their commercial technology architecture. For organizations with significant Salesforce investments, Salesforce Life Sciences Cloud creates an opportunity to align CRM with a broader ecosystem spanning data, integration, analytics and AI.
The decision should not be treated as a simple product replacement. It is a chance to determine what the commercial and medical engagement platform should look like for the next several years. Our Veeva Vault CRM vs Salesforce Life Sciences Cloud guide covers the evaluation criteria in more depth.
A mature Veeva CRM environment can contain years of data, configuration, custom code, territory structures, reports, interfaces and operational dependencies. Cendance evaluates the migration across six layers.
HCPs, HCOs, accounts, affiliations, calls, activities, consent, events, samples, historical engagement and custom objects. See Veeva CRM data migration.
Objects, fields, record types, layouts, rules, permissions, custom metadata, Apex, Lightning components, reports and dashboards.
Call planning/reporting, account planning, medical engagement, sampling, events, consent and customer service.
MDM, ERP, data warehouses, marketing, content, medical information, sample systems, identity, consent, analytics and data providers. See integration migration.
Access, privacy, retention, auditability, traceability, reconciliation and change control.
Sales representatives, MSLs, key account managers, operations, medical affairs, marketing and management.
Inventory architecture, data, metadata, customizations, integrations, users and risks.
Map current Veeva capabilities to standard Life Sciences Cloud, configuration, extension, integration or retirement.
Define source-to-target mappings, transformation rules, retention decisions and interface changes.
Implement the target platform with controlled extensions and future-state workflows.
Execute repeatable migration pipelines and integration modernization.
Unit, system, integration, regression, migration, security, UAT and applicable validation activities.
Freeze, final extraction, delta migration, reconciliation, integration activation and go/no-go.
Production support, adoption monitoring and prioritized improvements.
Repeatable, reconciled pipelines — not a one-time export and load.
Migrate to Salesforce Life Sciences Cloud when required for active workflows.
Evaluate operational migration versus integrated historical access.
Use an appropriate governed archive when operational CRM access is unnecessary.
Retire according to approved retention and governance policies.
A migration is a natural point to introduce governed AI into commercial and medical workflows. Typical starting points include:
Learn more about AI and Agentforce for Life Sciences.
Yes. The migration should begin with an inventory of source objects, relationships, custom fields, historical records and data-quality issues, followed by source-to-target mapping, transformation rules and reconciliation.
Not necessarily. Active operational data may belong in the new CRM, while older historical information may be better suited to a governed archive or enterprise data platform depending on access, analytics and retention requirements.
Some can. Each integration should be evaluated for endpoint changes, data-model changes, authentication, business criticality and future architecture. The right answer may be keep, remap, modernize, consolidate or retire.
Customizations should be assessed individually. Some may still provide business value, while others may be replaced by standard Life Sciences Cloud capability, redesigned, consolidated or retired.
The timeline depends on users, countries, data volume, customizations, integrations, validation requirements and rollout strategy. A readiness assessment is the best starting point for a defensible estimate.
It is one of the major platform options Life Sciences organizations can evaluate. The choice should consider enterprise platform strategy, data, integrations, AI, user needs, total cost and long-term operating model.
The business, data, integration and cutover items to understand first.
Mapping, cleansing, rehearsals and reconciliation.
Integration architecture around Salesforce.
Before committing to a full implementation, understand your current Veeva/Salesforce architecture, data, customizations, integrations and migration risks. Cendance can turn that current-state picture into a practical target architecture and migration roadmap.