Data transformation
Convert data between formats and structures with transformation tools that standardize information and enable seamless system integration.
Sarah Dotson
What is data transformation?
Data transformation is the process of converting data from one format or structure to another, enabling compatibility between different systems and applications. This essential process ensures data usability across various platforms while maintaining accuracy and consistency.
Transformation elements
Modern transformation processes include:
• Format conversion
• Structure modification
• Data mapping
• Validation rules
Transformation capabilities
Format standardization
The transformation process converts data between different formats and structures, ensuring compatibility while preserving data integrity. This standardization enables seamless integration between diverse systems and applications.
Data enhancement
During transformation, organizations can enrich data through:
• Format standardization
• Field mapping
• Value normalization
• Quality improvements
Implementation considerations
Successful data transformation requires careful planning and clear procedures. Organizations must understand their source and target systems while establishing appropriate transformation rules and validation processes.
Processing requirements
Effective transformation depends on:
• Clear mapping rules
• Quality standards
• Error handling
• Output validation
Best practices
Organizations should maintain documented procedures, implement regular quality checks, and ensure proper validation throughout the transformation process. Regular review and optimization help maintain efficiency and accuracy.
Data transformation enables organizations to maintain data consistency and usability across different systems, supporting efficient operations and accurate analysis through systematic data conversion.
Automate the work you thought would always be manual.
Request a demo of Parabola's AI-powered workflow builder.
Request a demoParabola FAQ
What is Parabola?
Parabola is an AI-powered workflow builder that makes it easy to organize and transform messy data from anywhere—even PDFs, emails, and spreadsheets—so your team can finally tackle the projects that used to feel impossible.
What does Parabola help with?
With Parabola, you can automate any process across spreadsheets, emails, PDFs, & siloed systems. Whether it’s reconciling data across systems or generating the same report every week, Parabola gives teams the power to automate it—all without IT support.
What does Parabola integrate with?
Parabola integrates with virtually any system. In addition to 50+ native integrations like NetSuite & Shopify, Parabola offers an API & the ability to integrate via email. Connect to thousands of tools—and work with unstructured data like emails and PDFs.
What are common Parabola use cases?
The best Parabola use cases are recurring processes that involve complex logic and messy data coming from multiple data sources. In practice, this could look like auditing invoice PDFs, generating recurring reports, or alerting the team of discrepancies.
Who are some of Parabola’s customers?
Teams at Brooklinen, On Running, Flexport, Vuori, and hundreds more use Parabola to automate the work they thought would always be manual. Explore more on our customer stories page.
How do I get started with Parabola?
The best way to get started is to sign up for a free account at parabola.io/signup. Our customers range from individuals to massive enterprises—so whether you'd like to start self-serve or with a guided product tour from an expert, we'll help you find the right package for your team.