Visual Data Mapping

Standardize Client Data Transformations
Without Rebuilding Them Every Time

Define reusable logic for CSV, Excel, and JSON files — visually, or with human-in-the-loop AI. Standardize complex data onboarding while reducing engineering involvement and delivery risk.

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DataFlowMapper Interface

Operational Efficiency

Prevent Mapping Inconsistencies

Projects slow down when logic is reimplemented per client or when edge cases cause last-minute delays. Move your mapping logic into a standardized, visual environment.

Consistent Logic

Avoid reimplementing transformations for every new client file. Define the rule once and apply it universally.

Defined Outputs

Ensure every field matches your system's required schema. Apply per-field validations to ensure type adherance.

Reduced Escalations

Enable implementation teams to handle complex mappings and validations without escalating to engineering.

Workflow

From Source File to Validated Template

A streamlined process to turn raw client files into strict, validated imports.

1

Define Destination Fields

Establish your target schema. You can manually define fields or upload a sample CSV/Excel/JSON file to automatically extract headers and structure.

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Define Destination Fields
2

Global Filters & AI

Apply pre and post-processing filters to clean the dataset. Use 'Map All' to let AI suggest mappings and logic for review.

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Global Filters & AI
3

Save as Template

Save the complete configuration to your library. Version control and share templates across your team.

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Save as Template
4

Transform & Reuse

Use mappings for future files from the same source. Upon uploading a source file, the system references all mappings in the library to automatically suggest the best match.

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Transform & Reuse

Why teams choose this approach

Unlike ad-hoc scripts or one-off mappings, DataFlowMapper centralizes transformation logic into a shared, reusable system — reducing rework and delivery risk across clients.

Control & Safety

Enterprise-Grade Validation

Designed with implementation teams who deal with real-world client files. We prioritize accuracy and predictability over black-box automation.

Human-in-the-loop

AI suggests, but you decide. Review and approve every mapping and transformation rule before it goes live.

Deterministic Outputs

Logic executes consistently every time. No hallucinations or varying results between runs.

Per-Field Validation

Define strict validation rules for every output field to catch data quality issues early.

Global Filtering

Filter rows before or after processing to ensure only relevant data enters your system.

Use Cases

The go-to for data import solutions

Empowering technical teams to solve complex data onboarding and migration challenges

Client Data Onboarding

Standardize messy client data instantly with AI-powered mapping and reusable templates

Software Implementation

Accelerate go-live times by empowering non-technical teams to handle data migrations

Legacy System Migrations

De-risk high-stakes migrations with visual validation and automated data transformation

Software Vendors

Win more deals and boost customer satisfaction by simplifying onboarding

Consultancies

Scale your service delivery by building a library of reusable mapping templates

Operations

Streamline product catalog mapping and inventory data synchronization

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Full Access for 30 Days

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1-on-1 Onboarding & Support

Partner with us and get tailored solutions for your unique data onboarding needs.

Product Roadmap & Features

Get first say in the future of DataFlowMapper. Your feedback shapes our platform.

The visual data transformation platform that lets implementation teams deliver faster, without writing code.

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