DataFlowMapper is a visual transformation platform designed for implementation teams to streamline data conversions and client migrations without coding.
Features
Visual Field Mapping
Allows users to match source to target fields visually and preview results instantly, making it easy to convert nested JSON to flat CSV.
Powerful Logic Builder
Enables building complex transformations and conditional logic visually without coding, allowing users to create reusable transformation rules.
Built for Teams
Facilitates sharing of transformation templates and collaboration on mappings, providing a self-documenting workflow.
Power User Features
Offers the option to write custom Python snippets for advanced logic with a full IDE experience, including syntax highlighting, seamlessly integrated with visual tools.
No-code data transformation
Allows users to transform data without writing any code, making it accessible for those without technical experience.
Visual transformation tools
Provides a visual interface for mapping and transforming data, which reduces errors and speeds up the migration process.
Data workflow automation
Automates complex data workflows from start to finish, saving time and reducing manual errors.
CSV to Excel conversion
Easily converts data between formats like CSV and Excel, simplifying data export and import tasks.
Legacy data migration
Facilitates the migration of data from legacy systems to modern systems without data loss or errors.
Business data integration
Integrates seamlessly with business systems to streamline data flow and enhance operational efficiency.
Data cleaning and wrangling
Provides tools to clean and organize data before processing, ensuring accuracy and consistency.
Visual data mapping
Utilizes drag-and-drop features to map fields visually, enhancing user experience and accuracy.
Custom Logic Builder
Provides an intuitive interface with features like visual IF/THEN building, AND/OR logic, support for one-level nesting, and the capability to input Python snippets for power users.
Various Data Transformations
Support for various data operations such as string operations, mathematical functions, date formatting, type conversions, and more, all accessible through a visual interface.
Real-Time Transformation Preview
Transformations can be previewed in real-time, enabling users to see the outcomes instantly and validate the logic on the fly.
Reusable Mappings
Save and download your data transformation mappings as CSV files for easy reuse or adjustments in future transformations.
In-memory Processing
DataFlowMapper processes your data transformations in memory, ensuring that your data is not stored on external servers. This feature allows for quick and efficient data handling while maintaining data privacy.
Data Ownership
You retain full ownership and control of your data at all times, as DataFlowMapper does not store your transformation data, providing you with peace of mind regarding data privacy and control.
End-to-end encryption
DataFlowMapper secures data transfers with end-to-end encryption, ensuring that your data remains protected at all times.
Regular security audits
The platform undergoes regular security audits and penetration testing to identify and address potential vulnerabilities.
No data storage
DataFlowMapper processes data without storing it, ensuring that your transformation data is never kept on the servers.
Visual Field Mapping
Provides a drag-and-drop interface for field mapping, allowing non-technical team members to participate in data transformation processes without coding expertise.
Reusable Transformation Templates
Allows teams to create and reuse transformation templates across different projects, enhancing efficiency and consistency in data migration tasks.
Real-time Preview and Validation
Offers real-time previews and automated validation checks of transformation logic to quickly identify and address potential errors in the data migration process.
Team Collaboration Features
Facilitates easy sharing and documentation of transformation templates, promoting cross-team collaboration and knowledge transfer.
Drag-and-drop interface
Offers an intuitive drag-and-drop interface for users to create data transformation workflows without coding expertise.
Built-in transformation templates
Provides built-in templates for common data transformations, reducing setup time for users when handling data tasks.
Visual feedback system
Gives users clear, visual feedback at every step of the data transformation process, enhancing understanding and reducing errors.
Legacy system file conversion
Enables the conversion of fixed-width files from legacy systems into modern formats, simplifying the process of data migration.
Data standardization
Allows users to standardize data from multiple sources for consistent data integration and reporting.
Financial data reconciliation
Supports the reconciliation of financial data across various systems, ensuring accuracy in financial reporting.
Scalable workflow management
Provides scalability for users, allowing them to start with simple tasks and expand to complex workflows as needed.
Data auditing
Allows consultants to audit source data to prevent inconsistencies, missing fields, or duplicates before migration, reducing risks of errors during the data transfer process.
Reusable templates
Enables creation and use of predefined templates for field mappings and transformations, such as date formats and currency conversions, to streamline migration workflows and reduce errors.
No-code automation
Facilitates the automation of data migration processes to reduce manual efforts and errors. Consultants can visually map fields and automate validation rules without writing code.
Pre-migration validation
Provides tools for running validation checks and sample data tests to catch errors before the data is transferred, ensuring a smooth migration process.
Visual Data Mapping
Drag-and-drop functionality replaces error-prone formulas, making data mapping intuitive and accessible to all users.
Automated Data Cleaning
Standardizes formats, removes duplicates, and handles missing data seamlessly, saving hours of manual work.
Reusable Workflows
Enables users to create reusable templates and workflows for recurring data tasks to ensure consistency and save time.
Seamless Data Integration
Allows integration with CSV files, APIs, cloud storage, databases, and more, centralizing all data processing in one place.
Collaborative Features
Offers real-time updates, version tracking, and role-based access to ensure team collaboration and eliminate version control issues.
Pre-built Transformation Functions
Offers a library of pre-built functions to perform common data transformation tasks, saving time and reducing the need for custom coding.
No-Code/Low-Code Interface
Provides an intuitive interface for users of any technical skill level to transform data, making data manipulation accessible to non-developers.
Automation Features
Includes options to automate data tasks and workflows, helping users save time and ensure data quality through consistency.