Data Trapped in Silos
Order data lives in the ERP, customer data lives in Salesforce, and nobody trusts either one completely. Teams re-key the same record three times a day because no system agrees with another.
Jitterbit links Salesforce to the ERP, eCommerce, and back-office systems your business runs on. Twopir designs, builds, and monitors those integrations so they survive contact with production.
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Order data lives in the ERP, customer data lives in Salesforce, and nobody trusts either one completely. Teams re-key the same record three times a day because no system agrees with another.
Someone built a scheduled export two years ago and nobody's touched it since. It's still "working" — until a field renames itself upstream and three weeks of records go missing without an alert.
Every new system gets its own custom connection built on top of the last one. Nobody can map the full picture anymore, and every change risks breaking something three integrations away.
Integrations fail quietly. A record doesn't sync, a webhook times out, and the first sign of trouble is a customer complaint or a finance team reconciling numbers that don't match.
What worked for 500 records a day chokes at 50,000. Integrations built without volume or error handling in mind become the bottleneck the moment the business actually grows.
Jitterbit is an integration platform as a service (iPaaS) that connects Salesforce to ERPs, eCommerce platforms, HR tools, and custom applications. The platform supplies the connectors. Twopir Consulting decides how they are used: the pattern, the mappings, and the error handling around every sync.
Salesforce, SAP, NetSuite, Oracle, Shopify, Workday — Jitterbit connects them through a single integration layer instead of a different tool for every pair of systems.
Hundreds of pre-built connectors and templates mean most integrations don't start from a blank canvas. We start from a proven pattern and adapt it to your data model.
The drag-and-drop interface handles standard mappings fast, but Jitterbit doesn't cap out there — custom scripts and API calls are available when the logic gets specific.
Jitterbit isn't just a data-mover. Its API management layer lets us design, secure, and govern the endpoints your other systems call — not just schedule batch jobs.
Bi-directional sync between Salesforce and SAP, NetSuite, or Oracle so sales, finance, and inventory data stay aligned without manual reconciliation.
Core ModuleEvent-driven syncs that push data the moment a record changes, instead of waiting on a nightly batch job to catch up.
AutomationCustom, secured API endpoints that let other systems read from and write to Salesforce on your terms, not theirs.
IntegrationOrders, inventory, and payment status flow between Salesforce and Shopify or Magento without a manual export step.
AutomationField formats, object structures, and naming conventions get translated automatically between systems that were never designed to talk to each other.
Core ModuleFailed records get flagged and routed to a queue with a reason — not silently dropped — so someone can fix them before they become a data-quality problem.
MonitoringLegacy on-premises databases connect into the same integration layer as your cloud apps, with no separate tooling required.
InfrastructureFor high-volume, non-urgent syncs — payroll uploads, nightly reconciliations — scheduled jobs run on your timeline without tying up real-time capacity.
AutomationStandard connectors for HR, marketing automation, and support platforms so common integrations don't get rebuilt from scratch.
SpeedWe inventory every system that touches Salesforce today, trace where data actually flows versus where it's supposed to flow, and map field-level dependencies before writing a single connector.
We design the integration pattern — real-time, scheduled, or hybrid — around your actual data volumes and failure tolerances, not a default template pulled from Jitterbit's docs.
Connectors get built, then stress-tested against edge cases: duplicate records, malformed fields, downstream system timeouts. Error handling and retry logic ship with the integration, not after it.
Post go-live, we keep monitoring dashboards on failed records and sync health, and extend the integration layer as new systems get added — instead of starting over each time.
Once a record is created in one system, it doesn't get typed again anywhere else. That alone removes the single biggest source of data-entry error teams report.
Sales, finance, and operations look at numbers that agree with each other, because they're reading from data that's synced in minutes, not reconciled at month-end.
Built-in error handling and alerting catch broken syncs before they turn into missing orders or mismatched invoices — not after a customer notices.
Decisions that used to wait on a nightly batch or a manual export now run against data that's current within minutes of the source system changing.
Salesforce stops being one of several competing systems of record. Field mappings and transformation rules keep it accurate against everything it connects to.
Adding a new system doesn't mean rebuilding the integration layer. The architecture we design absorbs new connectors instead of collapsing under them.
A distribution or manufacturing business running SAP or NetSuite alongside Salesforce needs order, inventory, and pricing data to move both directions without a batch job lagging hours behind the warehouse. We build the sync to handle production volume from day one, with error queues that catch the exceptions instead of silently dropping them.
Orders placed on Shopify or Magento need to land in Salesforce with correct inventory, customer, and payment status attached — instantly, not on a nightly export. We wire the full order-to-cash path so support and finance teams see the same order state the customer does.
New hires, role changes, and terminations in Workday or ADP need to reflect in Salesforce without someone updating both systems by hand. We automate the sync so account ownership and territory assignments stay correct the moment HR makes a change.
Post-acquisition, two companies are usually running different CRMs, ERPs, and support tools that all need to feed one Salesforce org. We use Jitterbit to bridge the gap during transition instead of forcing an all-at-once data migration that risks losing records.
Running a different middleware stack? See how we approach Celigo iPaaS implementation, or read a Shopify and Salesforce case study.
Every integration starts with a field-level map of what exists, what's duplicated, and what's authoritative — before any connector gets built. Skipping this step is how integrations inherit bad data permanently.
We build retry logic, failure queues, and alerting into the integration from the first build, not bolted on after something breaks in production.
The architecture we design assumes you'll add another system in eighteen months. That assumption changes how we structure connectors today.
We work inside Salesforce's object model and governor limits every day. That context shapes how we configure Jitterbit — it's not a generic integration built by people who've never opened a Salesforce org.
Integrations degrade as source systems change. We monitor sync health and extend the integration layer as your stack evolves, instead of handing off a static build.
For a hands-on walkthrough, read our guide to using Jitterbit with Salesforce.
Jitterbit is an integration platform as a service (iPaaS) that connects Salesforce to other enterprise systems — ERPs, eCommerce platforms, HR tools, and custom applications. It moves and transforms data between systems using pre-built connectors, scheduled jobs, or real-time triggers, so information stays in sync without manual entry.
A single-system integration, such as syncing Salesforce with one ERP or eCommerce platform, typically takes four to eight weeks from data mapping through go-live. Multi-system integrations or projects involving significant data cleanup take longer, and we scope the timeline after the initial audit.
Yes. Jitterbit supports cloud, on-premises, and hybrid connectivity, so a legacy database or on-site ERP can connect into the same integration layer as your cloud applications without separate tooling.
We build error handling into every integration, so a failed record gets routed to a queue with a reason attached instead of silently dropping. Alerts notify your team when a sync fails, and monitoring dashboards give visibility into integration health without waiting for someone to notice missing data.
No. Jitterbit's drag-and-drop interface handles most ongoing configuration changes without code. For deeper customizations, such as custom scripts or complex transformation logic, our team builds and documents those so your internal team can maintain standard changes independently.
Jitterbit is generally faster to implement and more cost-effective for mid-market integration needs than MuleSoft, which is built for large-scale enterprise API management. Compared to Workato, Jitterbit offers stronger native support for hybrid and on-premises connectivity. The right choice depends on your system landscape and scale — something we assess during the integration audit.
Tell us what's connected, what isn't, and where the data breaks down. We'll map the fastest path to a Jitterbit integration that holds up in production.