The collaborative way to design, build and test data flows
De-risk your data transformation projects
Are you struggling to manage your data flow across multiple tools?
No shared language for collaboration between process owners, developers and testers
No visibility into how data is transformed through the process
No capability to validate a process design before committing to the build
A single platform to define, analyse and document data flows
Design & visualize data flows
Use an AI-enabled wizard to create a visual process flow
Automatically create natural language documentation of requirements with AI
Replace multiple tools such as data flow diagrams, code repositories and data lineage tools with a single platform
Test and refine data flows before production
Run real data through version controlled data flows before committing resources to the build
Cell level data lineage for one click interrogation from anywhere in the data flow
Ensure process integrity and regulatory compliance
Collaborate easily between all stakeholders
Remove data silos and leverage shared understanding across functions
Full transparency between process owner requirements and developer outcomes
Visibility of end-to-end data flows for all stakeholders
xflow is built for
Increased confidence in data transformation outcomes
Version-controlled process library for issue investigation or process change
Improved data governance by replacing end user computing (EUC) tools
Single integrated tool for analysis and documentation of process requirements
Easy engagement with other stakeholders – process owners, developers and testers
Rapid understanding of process and end-to-end data transformations
Easy to interpret development requirements
Shared design, build and test platform to work on
Ability to build using real data with complete visibility of end-to-end data transformations
Rapid testing of build against user stories
Integration of testing steps into design and build practices
Ability to identify points of failure and provide issue analysis
Build rapid understanding of complex data flows
Rapid validation of production system outputs
Full transparency and cell level analysis of end-to-end data flows
Improved data governance
Reduced time and cost of process change
Reduced delivery risk associated with complex data transformation programmes
