Case Study
Healthcare Data Transformation Legacy: TechnologyOne Target: Snowflake

Historical Data Migration from TechnologyOne to Snowflake for an Australian Disability Services Provider

The project established a secure and scalable historical data repository, enabling the client to retire its legacy TechnologyOne environment with confidence while ensuring continued access to critical business information, documents and attachments for future reporting, compliance and operational needs.
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100%
Historical business data preserved during migration
Automated
End-to-end ETL and document migration process
Secure
Centralised read-only repository in Snowflake
Incremental
Ongoing synchronisation without disrupting operations
Solution Architecture

End-to-End Migration Architecture

High-level visual data flow from legacy source to target cloud data lakehouse

  1. TechnologyOne

    Legacy Enterprise System

  2. Python + Selenium

    Automated ETL Framework

  3. Azure Blob Storage

    Secure Staging Lake

  4. Snowflake

    Central Read-Only Lakehouse
About Client

About This Project

Our clientis an established Australian disability support provider delivering essential services to individuals, families and communities across the country. As part of a broader technology modernisation programme,the organisation required a secure and scalable solution to retain historical business information while transitioning away from its legacy enterprise platform.

The existing TechnologyOne environment contained years of operational data, business documents, and supporting attachments that needed to remain accessible after the system was decommissioned. The client wanted a modern cloud-based repository that would preserve historical information while simplifying future reporting and compliance requirements.

To achieve this,they engaged Augmented Systems to design and deliver an automated migration solution that securely transferred historical data into Snowflake while maintaining data integrity and document accessibility. 

Project Snapshot

Industry
Healthcare
Legacy Platform
TechnologyOne
Target Platform
Snowflake
Core Stack
Snowflake • Python • Selenium • Azure Blob Storage • TechnologyOne
The Challenge

Key Challenges & Business Outcomes

Retiring a legacy enterprise platform is only part of the journey. The greater challenge is ensuring historical information remains complete, searchable, and accessible long after the original system is no longer available.
 
The clientrequired a solution that could securely migrate structured data together with associated documents and attachments while maintaining traceability throughoutthe process.
  • Extracting historical business data, metadata, documents and
    attachments from TechnologyOne.
  • Preserving relationships between business records and supporting
    documents.
  • Automating migration activities to reduce manual effort and minimise
    project risk

  • Validating field mappings and migrated data to ensure consistency and accuracy.

  • Supporting incremental synchronisation as new information continued to be created before the legacy platform was retired.

  • Providing a secure and scalable repository for long-term access to historical records.

Business Outcomes

Business Outcomes Delivered

The project delivered measurable operational improvements, including:

  1. Successful migration of historical business data, metadata, documents and attachments from TechnologyOne into Snowflake.

  2. Secure, centralised access to historical information through a scalable read-only repository.

  3. Significantreduction in manual migration effortthrough automated ETL processes.

  4. Improved confidence in data quality through comprehensive validation and reconciliation activities.

  5. Continued synchronisation of new records during the transition period using incremental data migration. 

  6. Simplified long-term reporting and historical data access following the retirement of TechnologyOne. 

  7. Improved governance through structured storage of business data, metadata, and supporting documents.

Methodology

Our Approach

We worked closely with the client's technical stakeholders to design an automated migration framework that delivered secure,repeatable, and validated data transfers from TechnologyOne into Snowflake.

  1. Data Discovery & Migration Planning

    Ourteam analysed the TechnologyOne environment, identified data dependencies, documented field mappings, and established a migration strategy covering structured data, metadata, documents, and attachments. 

  2. ETL Automation

    Using Python and Selenium, we developed automated extraction processes to retrieve historical information from TechnologyOne. The solution reduced manual intervention while ensuring consistent and repeatable migration activities. 

  3. Azure Blob Storage Integration

    Extracted datasets, metadata, and supporting documents were securely uploaded into AzureBlob Storage. Separate storage locations were established for business data, metadata, and documents to simplify governance and ongoing management. 

  4. Snowflake Implementation

    Using Snowflake Storage Integration, historical information was securely loaded into a centralised cloud repository. The solution provided a scalable, read-only environmentthat preserved historical business records after TechnologyOne was decommissioned. 

  5. Data Validation & Synchronisation

    Comprehensive validation routines confirmed field mappings, record counts and documentrelationships throughoutthe migration process. Incremental synchronisation ensured newly created information could continue to be migrated until the final cutover. 

Core Infrastructure

Technology Stack

  • Snowflake — TARGET REPOSITORY

    Snowflake served as the central repository for historical business information, providing secure, scalable and long-term access to structured data, metadata, and supporting documents afterthe legacy platform was retired. 

  • Python & Selenium — AUTOMATION ENGINE

    Python and Selenium powered the automated extraction process, enabling reliable retrieval of historical data, metadata, documents and attachments from TechnologyOne while reducing manual effort.

  • Azure Blob Storage — STAGING CLOUD LAKE

    AzureBlob Storage acted as the secure staging environmentfor migration, organising structured data, metadata, and documents before loading them into Snowflake using Storage Integration.

  • TechnologyOne — LAGACY ERP PLATFORM

    TechnologyOne served as the legacy source system containing historical operational data, documents and attachments that were securely extracted and preserved during the migration programme.

Services Delivered

What We Delivered

  • Data Migration Strategy

  • Historical Data Extraction

  • ETL Automation

  • Snowflake Implementation

  • Azure Blob Storage Integration

  • Field Mapping & Data Validation

  • Incremental Data Synchronisation

  • Document & Attachment Migration

  • Technical Consulting

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