Enterprise Data Management & Transformation
One platform for controlled enterprise data change
Transferras brings requirements, data connections, transformations, validation, automation and processing history into one repeatable process.
Empower business teams to manage complex data changes without relying on undocumented spreadsheets or heavily technical solutions.
Connect
Bring together data from multiple sources
Import data through commonly used enterprise formats and secure transfer methods.
CSV and Excel
JSON
XML
Delimited text files
SFTP
Third-party REST & SOAP APIs
Use the same controlled process whether you are working with a single file, a bulk upload or a recurring data exchange.
Define
Capture the requirement before building the solution
Document the business intent behind the transformation.
Record the rationale, expected outcome, acceptance criteria and relevant business or project reference, then connect the requirement to the transformation rules that deliver it.
This makes it easier for users, testers, reviewers and auditors to understand why each rule exists.
Transform
Convert source data into the required target structure
Create mappings and transformation rules that convert enterprise data into the precise format required by the destination system.
Use transformations to:
Update incomplete or incorrect information
Enrich datasets for further processing
Map current organisational structures to new structures
Separate new records from updates
Populate required target values
Reformat dates and other data types
Prepare and load related records in the correct sequence
Exclude records from the load to the target system
Reusable rules provide consistency across repeated runs and future projects.
Validate
Identify problems before delivery
Validate data by ensuring that corresponding records exist and are active before they reach the destination system.
Review validation summaries, investigate individual results and resolve issues earlier in the process.
Configure runs to be paused or cancelled when intervention is required.
Test
Verify that the transformation meets the requirement
Compare transformed output against the intended result. By connecting documented requirements to transformation rules and reviewing the resulting output, validation results and processing information, teams have a clearer basis for determining whether each data change has been implemented as expected. This supports business acceptance, investigation and audit review.
Automate
Run processes on demand or to a schedule
Execute bulk changes when needed or automate recurring data processes.
Supported scheduling patterns include:
Hourly
Daily
Weekly
Monthly
Yearly
Custom schedules
Configure alerts to notify designated recipients when scheduled processing starts, completes successfully or fails.
Automation helps reduce repetitive work and ensures that the same configured process is followed consistently each time.
Where enabled, delta processing can support incremental processing between runs.
Monitor
Maintain a detailed processing history
Review the history of imports, transformations and exports across the platform.
Track:
Processing date and time
Data process and tasks
File name
Processing status
Successful and failed records
Validation results
Search, filter and export processing information to support operational review and audit requirements.
Promote
Move proven processes into production with control
Develop and test data processes and run plans outside production before promoting the tested process into production.
This supports repeatable delivery while reducing the risk of untested configuration changes being applied to production processes.
Once a single run or run plan has begun in production, the data process and its underlying configuration can no longer be amended. This ensures completed production activity remains tied to the configuration that was actually used.
Templates
Available templates provide a pre-configured starting point for applicable enterprise systems and data scenarios.
Adapt the requirements, data processes, transformations and validation rules to the organisation’s specific needs during development and testing, then promote and reuse the resulting controlled process in production.
Reduce initial configuration effort while retaining the flexibility required for each customer and project.
Start from a proven process
Request a demo
See how Transferras fits your data process
Book a demonstration based on your migration, restructuring, bulk-upload or recurring data-management requirement.