CRM migration

Migrate from Giva eHelpDesk to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Giva eHelpDesk and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Giva eHelpDesk logo

Giva eHelpDesk

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

12 of 12

objects map 1:1 between Giva eHelpDesk and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Giva eHelpDesk stores customer service data in a ticket-centric model built around incidents, service requests, knowledge base articles, and IT assets. Salesforce Sales Cloud stores customer relationship data in an Account–Contact–Opportunity object graph, with Cases as the primary service object. These are fundamentally different data architectures: Giva models tickets as the central entity, while Salesforce models customers (Accounts) and individuals (Contacts) as the central entities with Cases attached to them. FlitStack AI maps Giva tickets to Salesforce Cases, Giva agents to Salesforce Users, Giva customers to Contacts linked to Accounts, and Giva knowledge base articles to Salesforce Knowledge Articles or a custom Article__c object. Priority and status values are translated value-by-value so your Salesforce Case Status pick-list reflects Giva's ticket lifecycle accurately. We export Giva data via its REST API and load into Salesforce using Bulk API for high-volume record sets. Custom fields, asset records, and knowledge base categories are migrated as Salesforce custom fields and custom objects — your Salesforce admin pre-creates the schema before the migration run so field-level validation rules fire correctly on ingestion. Workflows, macros, automation rules, and SLA policies do not migrate; we export Giva workflow definitions as a rebuild reference for Salesforce Flow or Apex.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Giva eHelpDesk logo

Giva eHelpDesk

What's pushing teams away

  • Limited ecosystem integrations with tools like Slack and Firebase disrupt workflows and force teams to maintain workarounds or supplementary systems.
  • Frequent updates introduce server connection issues and time delays that frustrate agents who expect reliable real-time access during their shifts.
  • Less suited for enterprise scale — organizations with large agent counts or complex multi-department structures find Giva's reporting depth and customization insufficient.
  • The inability to move tickets between Service Desks and the lack of questionnaire copy functionality are specific workflow gaps that drive dissatisfaction among multi-team support organizations.
  • UI and reporting inconsistencies across updates mean teams cannot always trust that dashboards and exports behave predictably over time.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Giva eHelpDesk objects map to Salesforce Sales Cloud

Each row shows how a Giva eHelpDesk object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Giva eHelpDesk

Ticket

maps to

Salesforce Sales Cloud

Case

1:1
Fully supported

Giva tickets map directly to Salesforce Cases. Subject maps to Subject, Description maps to Description, and the original Giva ticket number is stored as Source_Ticket_ID__c for traceability and historical cross-referencing back to the source system. Salesforce Case requires a ContactId or AccountId — the requester must be resolved to a Contact record before the Case can be created. If no matching Contact exists in Salesforce, the ticket cannot be linked and will require manual assignment.

Giva eHelpDesk

Ticket Status

maps to

Salesforce Sales Cloud

Case.Status

1:1
Fully supported

Giva status values (New, Open, Pending, On-hold, Resolved, Closed) map value-by-value to Salesforce Case Status pick-list. Org-defined Salesforce status values must be configured in Salesforce Setup before migration so the value map aligns correctly with your desired workflow stages. Mismatched values fail Salesforce validation rules and will cause record rejection during bulk ingestion.

Giva eHelpDesk

Ticket Priority

maps to

Salesforce Sales Cloud

Case.Priority

1:1
Fully supported

Giva priority (Low, Medium, High, Critical) maps directly to Salesforce Case.Priority pick-list. The pick-list labels must match exactly — if Giva uses 'Urgent' instead of 'Critical', a value_mapping is required. Salesforce workflow routing rules can reference Priority to assign cases to queues.

Giva eHelpDesk

Agent

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Giva agents map to Salesforce Users. The mapping uses email as the match key — each Giva agent email is resolved against existing Salesforce Users. Unmatched agents are flagged before migration; your team either creates Salesforce Users first or assigns records to a fallback queue (e.g., 'Unassigned Cases'). Giva agent role (Admin, Agent) maps to Salesforce Profile or a custom Role__c field.

Giva eHelpDesk

Customer (Requester)

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Giva customers map to Salesforce Contacts. Email is the primary lookup key. Each Giva customer must belong to a Giva Company to map cleanly to a Contact under an Account in Salesforce. Customers without a company link are stored as Contacts without an AccountId and flagged for manual Account assignment post-migration.

Giva eHelpDesk

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Giva companies map to Salesforce Accounts. Company name → Account.Name, domain → Account.Website, phone → Account.Phone. If Giva stores parent-company relationships, these map to Account.ParentId. Multi-location Giva companies can be split into separate Account records or stored as a single Account with custom address fields.

Giva eHelpDesk

Attachment

maps to

Salesforce Sales Cloud

ContentVersion / Salesforce Files

1:1
Fully supported

Giva ticket attachments (documents, images, screenshots) are downloaded and re-uploaded as Salesforce Files (ContentVersion → ContentDocumentLink linked to the Case). Salesforce default file size limit is 25MB per file; files exceeding this are split or flagged for manual delivery. Inline images embedded in ticket notes are extracted and rehosted as ContentVersion records.

Giva eHelpDesk

Knowledge Base Article

maps to

Salesforce Sales Cloud

KnowledgeArticleVersion / Custom Article__c

1:1
Fully supported

Giva knowledge base articles migrate to Salesforce Knowledge (KnowledgeArticleVersion) or a custom Article__c object depending on your Salesforce edition. Title, summary, body, status (Draft, Published, Archived), and category all require Salesforce custom fields if using a custom object. Salesforce Knowledge requires article type setup before migration.

Giva eHelpDesk

Asset

maps to

Salesforce Sales Cloud

Asset

1:1
Fully supported

Giva IT assets (hardware, software licenses, contracts) map to Salesforce Asset. Asset name → Asset.Name, serial number → Asset.SerialNumber, status → Asset.Status, assigned contact → Asset.ContactId. If Giva asset records link to Giva customers, the ContactId lookup resolves via the customer-to-contact mapping.

Giva eHelpDesk

Comment / Activity

maps to

Salesforce Sales Cloud

CaseComment / EmailMessage / Task

1:1
Fully supported

Giva ticket comments (agent replies, customer responses) map to Salesforce CaseComment or EmailMessage depending on whether the comment was internal or sent by email. Original timestamps and author (agent or customer) are preserved. Comments are ordered by createdate to maintain conversation chronology.

Giva eHelpDesk

Custom Field (Ticket)

maps to

Salesforce Sales Cloud

Custom Field (__c) on Case

1:1
Fully supported

Giva ticket custom fields (text, number, date, pick-list, checkbox) are created as Salesforce custom fields on the Case object before migration. Field type is preserved: Giva text → Salesforce Text(255), Giva number → Number, Giva date → Date. Validation rules on Salesforce custom fields fire during ingestion — plan schema before the migration run.

Giva eHelpDesk

Macro / Workflow

maps to

Salesforce Sales Cloud

Flow (no_equivalent)

1:1
Fully supported

Giva macros and automated workflow rules (assignment rules, SLA timers, auto-response emails) do not migrate to Salesforce. They must be rebuilt in Salesforce Flow, Process Builder, or Omni-Channel. FlitStack exports Giva macro definitions as a rebuild reference document so your Salesforce admin can reconstruct the logic in Flow.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Giva eHelpDesk logo

Giva eHelpDesk gotchas

High

No documented public API for bulk data export

Medium

Knowledge base articles are decoupled from ticket objects

Medium

AI Copilot settings and trained knowledge bases cannot be transferred

Low

Cross-Service Desk ticket moves are not supported by Giva

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Giva workflow and macro logic has no Salesforce equivalent and must be rebuilt manually

    Giva's macros, automated assignment rules, SLA timers, and escalation policies are workflow constructs stored in Giva's rule engine. Salesforce has no direct equivalent — Salesforce Flow, Process Builder, Omni-Channel, and Entitlement Processes must be built from scratch to replicate Giva's automation logic. The migration carries data only; we export your Giva workflow definitions as a rebuild reference so your Salesforce admin can reconstruct the routing, escalation, and response logic in Flow before go-live. This is the most significant manual effort in the migration and should be scoped separately from the data migration budget.

  • Giva custom fields require Salesforce custom field schema to be pre-created before data loads

    Giva lets administrators add custom fields to tickets, customers, and agents without a schema design phase. Salesforce requires custom fields to be defined (with API name, data type, pick-list values, and field-level security) before any data can be written to them. If your Giva instance has 15+ custom fields, the Salesforce admin must create each field in Setup before the migration run. Validation rules and required-field constraints on those custom fields also fire during ingestion — we recommend disabling validation rules temporarily or setting them to warn-only during the bulk load phase to prevent record rejection.

  • Salesforce Cases require a ContactId or AccountId — orphaned tickets must be pre-linked

    Giva tickets store the customer name and email directly on the record. Salesforce Cases must be linked to either a Contact (via ContactId) or an Account (via AccountId). If your Giva customer records cannot be resolved to Salesforce Contacts during migration (no matching email, or duplicate contacts), those Cases land without a ContactId and appear as orphaned in Salesforce reports. We flag unresolved requesters before the migration run so your team can decide whether to merge duplicates, create placeholder Contacts, or accept the orphaned Case state.

  • Giva knowledge base articles need article type and data category setup in Salesforce before import

    Salesforce Knowledge requires an Article Type object to be defined (Setup → Feature Settings → Knowledge → Article Types) before any articles can be imported. The article type defines which custom fields are available on each article. Giva knowledge base categories must be mapped to Salesforce Data Category Groups and Categories — these are separate metadata objects that must be created in Salesforce before migration. Without this setup, Giva articles can only be migrated as Salesforce Files or custom objects, losing the native knowledge-base search and visibility controls.

  • Giva API rate limits may throttle export for large datasets

    Giva's REST API enforces per-plan rate limits on ticket export requests. For migrations involving 10,000+ tickets, Giva's export pagination may be throttled, causing the export phase to extend beyond the expected window. We monitor Giva API response headers (X-RateLimit-Remaining) and implement exponential backoff on 429 responses. If Giva's rate limit is restrictive relative to your data volume, we may recommend a Giva data export file (CSV/JSON) as an alternative source in addition to or instead of live API polling.

Migration approach

Six steps for a successful Giva eHelpDesk to Salesforce Sales Cloud data migration

  1. Giva data model audit and Salesforce schema pre-creation

    FlitStack AI reads your Giva instance via API to inventory all ticket fields, custom fields, status and priority pick-list values, knowledge base structure, asset records, and agent list. We generate a Salesforce schema setup plan listing every custom field to create (with API name, type, pick-list values), every Salesforce Knowledge article type and data category group to define, and every Giva pick-list that needs a corresponding value-mapping row. Your Salesforce admin (or our team) creates this schema in your Salesforce org before the migration run so validation rules fire correctly on data ingestion.

  2. User and Contact resolution by email match

    Giva agents are resolved to Salesforce Users by email. We compare the Giva agent email list against existing Salesforce Users — unmatched agents are flagged with a recommendation to either create Salesforce User accounts first or assign their records to a fallback Case queue. Giva customers are resolved to Salesforce Contacts by email under their respective Accounts. Customers without a matching Account are flagged; your team decides whether to create Account records for them or accept the orphaned Contact state. This step ensures no Case is written without a resolvable OwnerId or ContactId.

  3. Sample migration with field-level diff report

    A representative slice of 100–500 Giva records (tickets, contacts, accounts, articles, and assets) is migrated first into a Salesforce sandbox or scratch org. We generate a field-level diff comparing source values against Salesforce field values — verifying that status value-mapping is correct, priority labels match, attachment filenames are preserved, knowledge base article titles are intact, and that timestamp fields (CreatedDate, ClosedDate) are accurate. You review the diff report and sign off before the full migration run commits.

  4. Full data migration with delta-pickup window

    All Giva records (tickets, contacts, accounts, assets, knowledge base articles, and attachments) migrate to Salesforce using Bulk API 2.0 for high-volume record sets. A delta-pickup window of 24–48 hours after the full migration run captures any Giva tickets created or updated during the cutover window so Salesforce reflects Giva's final state at go-live. Salesforce Files are uploaded via ContentVersion with ContentDocumentLink to the parent Case. Knowledge base articles are inserted as KnowledgeArticleVersion records with the correct article type and data category.

  5. Post-migration audit log and reconciliation report

    FlitStack AI generates a reconciliation report comparing Giva record counts against Salesforce record counts per object. Exception rows (records that failed validation, duplicate Contacts, unmatched Cases) are surfaced in a downloadable CSV. Salesforce Sharing Rules and Case teams can be configured after the report is reviewed. We provide 30 days of post-migration access to the FlitStack audit log so you can trace any record back to its Giva source if a dispute arises during user acceptance testing.

Platform deep dives

Context on both ends of the pair

Giva eHelpDesk logo

Giva eHelpDesk

Source

Strengths

  • HIPAA compliance with signed Business Associate Agreement for healthcare and regulated-industry deployments.
  • ITIL-aligned incident, problem, change, and service request management built into the core subscription.
  • Natural language and Boolean search across the knowledge base with synonym and root-word stemming capabilities.
  • SaaS deployment with no coding or programming required for initial configuration.
  • CMDB with hardware asset management and software license tracking linked to change requests.

Weaknesses

  • Limited ecosystem with sparse third-party integrations, particularly for modern collaboration tools like Slack and Firebase.
  • No free version available; pricing is not publicly documented and requires a sales contact for a quote.
  • Frequent updates have been reported to introduce server connection issues and time delays during agent use.
  • Reporting and dashboard depth varies across releases, making consistent analytics difficult for some organizations.
  • Absence of bulk API export means data extraction relies on paginated API calls or manual exports, which adds time to migration scoping.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Giva eHelpDesk and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Giva eHelpDesk: Not publicly documented.

  • Data volume sensitivity

    B

    Giva eHelpDesk doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Giva eHelpDesk to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Giva eHelpDesk to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Giva eHelpDesk to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Giva-to-Salesforce migrations complete in 48–72 hours of clock time for under 25,000 records. The planning and schema-setup phase (pre-creating Salesforce custom fields, article types, and data categories) adds 3–5 days depending on how many Giva custom fields and knowledge base categories exist. Larger datasets with 25,000+ tickets, knowledge base articles, or asset records extend the timeline to 5–10 days. The Giva API export phase is the most variable step — rate limits on large Giva plans can extend the export window.

Adjacent paths

Related migrations to explore

Ready when you are

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