DataFlowMapper

DataFlowMapper is a no-code data transformation tool that bridges the gap between expensive enterprise ETL solutions and basic spreadsheet manipulation. It empowers implementation teams and data migration specialists to easily clean, reshape, and integrate data from various sources without writing code.

The Problem We're Solving: Data migration and transformation is a constant headache for implementation teams. Current solutions are either:

Enterprise ETL tools: Expensive, clunky, and overly complex Basic data cleaners (FlatFile, OneSchema): Good for simple mapping but fail with business logic and aren't repeatable. You have to clean and format reactively each time Manual Excel/Python scripts: Time-consuming, error-prone, and not reusable

Who is it for?

Implementation and data migration teams Companies handling client data in CSV/Excel/JSON format Businesses with dedicated onboarding functions Mid-sized companies that can't justify enterprise ETL costs Consultants, specialists, and analysts working with data conversion from legacy systems

Key Features

Visual Data Mapping: Drag-and-drop interface for connecting source fields to destination fields Custom Logic Builder: Build complex transformations visually without coding

• Variables, If/Then logic, built-in Functions
• Real-time Python code generation and preview
• Progress checklist for tracking logic creation

AI-Powered Assistance:

• Suggest Mappings: AI analyzes your fields and suggests logical connections
• Map All: Describe your requirements in plain English and AI creates the entire mapping
• Logic Assist: Describe transformations in plain language and AI builds the logic

Flexible Format Support: CSV (any delimiter), Excel, JSON with nested structure support

Reusable Transformations: Save and reuse mapping files for repeatable processes. Just upload the file you want transformed, upload your mapping file, and click transform.