Multiple ERP Environments
brought into a standardized ingestion and transformation framework.
Four ERP Related Domains
completed or advanced with standardized pipelines and data models.
One Azure-native Platform Pattern
established across Azure Logic Apps, Blob Storage, Data Factory, Snowflake, and dbt Cloud.
The Challenge
A global industrial manufacturer operated across regions and multiple enterprise resource planning systems. Its operational data was distributed across separate ERP environments, making it difficult to create a consistent foundation for enterprise reporting, analytics, and future Salesforce Data Cloud activation.
Before partnering with Analytic Vizion, the organization faced several barriers:
- Operational data was distributed across multiple ERP platforms and regional environments.
- The original proof of concept relied on an approach that did not align with the client’s preferred Azure-native architecture.
- Each ERP system required separate integration and transformation work before its data could be used consistently.
- Source data required validation, standardization, and modeled transformations before it could support enterprise analytics.
- Key platform dependencies, including Azure permissions, Logic Apps, Azure Data Factory, Salesforce authentication, and Sage connectivity, were not fully established.
Leadership needed a dependable, repeatable way to treat ERP data as an enterprise asset rather than a series of source-specific projects. Without a standardized ingestion and transformation pattern, the organization risked continued manual work, inconsistent data logic, delayed reporting initiatives, and a more difficult path to scale future Salesforce Data Cloud use cases.
Our Approach
Analytic Vizion partnered with the industrial manufacturing client’s revenue operations and technical stakeholders to turn the initial proof of concept into a production-ready data platform foundation.
The engagement combined data engineering, platform modernization, data automation, multi-ERP integration, and production-readiness work. First, the team re-established the Snowflake and dbt Cloud environments from the earlier proof of concept. This confirmed that the cloud data platform and transformation layer were ready to support scalable development.
We replaced the original Fivetran-based approach with an Azure-native ingestion architecture. The new pattern used Azure Logic Apps, Azure Blob Storage, Azure Data Factory, Snowflake, and dbt Cloud. This created a more aligned and extensible framework for integrating data from multiple ERP environments.
The team successfully ingested data from multiple ERP environments into Snowflake, including Veridian and X3. It also completed or advanced standardized data models across Veridian, X3, Oppen, and Oppen Open Backlog domains. These reusable models and pipelines established a consistent way to prepare operational data for enterprise reporting, analytics, and future Salesforce Data Cloud use cases.
Throughout the engagement, we worked closely with client partners to resolve provisioning, permissions, and connectivity requirements. Focused working sessions helped establish Azure Logic Apps access, validate incoming data, create automated email ingestion, and coordinate the next phase of data-engineering support.
The How
The engagement focused on creating a repeatable multi-ERP data integration pattern instead of treating each source system as a separate project.
People
Analytic Vizion collaborated with revenue operations, technical stakeholders, and platform owners to clarify architecture decisions, address Azure access requirements, validate source data, and maintain forward momentum through production-readiness work.
Process
The team established reusable dbt staging-model conventions and standardized transformation logic across ERP pipelines. This created a consistent process for onboarding future source systems, validating incoming data, and preparing trusted datasets for downstream analytics and activation use cases.
Technology
Azure Blob Storage became the landing zone for inbound files, while Azure Logic Apps automated the ingestion of Veridian email attachments. Azure Data Factory supported orchestration and connectivity between the ERP sources and Snowflake.
To support the hybrid operating environment, Analytic Vizion established an Azure Self-Hosted Integration Runtime for secure connectivity to the Sage on-premises environment. This gave the organization a practical path to include on-premises operational data in its broader cloud data platform strategy.
The result was a reusable Azure-native architecture that allows the organization to onboard data from additional ERP systems without rebuilding ingestion and transformation logic from the ground up.
The Results
The engagement moved the organization beyond a successful proof of concept and toward a scalable, Azure-native data platform foundation for multi-ERP data integration.
Data from Veridian and X3 was successfully ingested into Snowflake. Standardized data models were completed for Veridian, X3, and Oppen, while the Oppen Open Backlog model was finalized. Together, these milestones completed or advanced four ERP-related data domains within a shared transformation and ingestion framework.
The team also enabled automated file ingestion by creating an Azure Logic Apps workflow that moves Veridian email attachments into Azure Blob Storage. In parallel, the Azure Self-Hosted Integration Runtime established secure Azure Data Factory connectivity to the Sage on-premises environment.
These capabilities gave the organization a more repeatable approach for integrating additional ERP systems. Rather than rebuilding custom pipelines and transformation logic for each source, the client now has a clearer architecture for consolidating regional operational data in Snowflake and preparing it for reporting, analytics, and future Salesforce Data Cloud activation.
The client extended data-engineering support by to continue expanding the production platform. This extension reflected confidence in the technical direction and positioned the engagement as an ongoing data platform expansion effort rather than a one-time integration project.
Facing fragmented ERP data across multiple systems and regions?
Analytic Vizion helps enterprise leaders establish trusted, scalable data foundations that unify operational data, standardize transformation logic, and prepare teams for reporting, analytics, and data activation.
Book a Meeting to explore how a multi-ERP data platform could support your next phase of growth.
Key Takeaways
Build for production, not only for proof
A production-ready architecture adds the automation, standards, connectivity, and operating model required to scale multi-ERP data integration across the enterprise.
Your finance data model is a strategic asset
Reusable ingestion patterns and dbt transformation conventions reduce onboarding effort while improving consistency across reporting, analytics, and downstream activation.
Align the architecture to the cloud strategy
An Azure-native approach helped the client connect cloud and on-premises systems through one scalable platform that supports long-term ownership.
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