Smart Lookups & Enrichment

Stop Manually Cross-Referencing
Client Data in Excel

Upload reference tables directly to your templates. Automate joins, handle fuzzy matches, and enrich client data without relying on fragile spreadsheets.

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DataFlowMapper Interface

Process Reliability

Eliminate the 'VLOOKUP' Bottleneck

Manual data joining is the #1 cause of hidden errors in data migration. Centralize your reference logic to ensure every team member uses the same master data.

Single Source of Truth

Keep reference data (like Country Codes or SKUs) stored in the template, not scattered across consultants' local desktops.

Fuzzy Matching

Automatically resolve near-matches like 'United States' vs 'USA' or 'Calif.' vs 'CA' without manual intervention.

Zero-Touch Enrichment

Append internal IDs, price codes, or territory maps to source rows automatically during the transformation pass.

Workflow

Automated Data Enrichment

A streamlined process to join messy source files with clean master data.

1

Load Reference Tables

Upload your master data—CSV, Excel, or JSON—into the mapping template as a 'Local Lookup' source. Flatten complex JSON reference files automatically.

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Load Reference Tables
2

Define or Compute Keys

Match on raw columns or use the Logic Builder to create 'Computed Keys' (e.g., combine First + Last Name) to ensure robust matching even when source data is messy.

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Define or Compute Keys
3

Configure Match Logic

Choose between Exact Matching for IDs or Fuzzy Matching for human-entered text. Define fallback values for when no match is found.

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Configure Match Logic
4

Execute & Verify

Run the transformation. The system joins the data in-memory for speed and outputs the enriched file instantly.

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Execute & Verify

Why teams choose this approach

Unlike spreadsheet-based lookups that are hard to maintain at scale, Lookups provide a version-controlled way to enrich client data reliably — eliminating costly manual errors.

Control & Safety

Join Data with Confidence

Enterprise-grade safeguards designed for complex data migration projects.

Smart Reconciliation

The system detects if your local reference table differs from the template's required version and prevents accidental overwrites.

Computed Keys

Create virtual match keys without modifying the original source file, keeping your audit trail clean.

Hybrid Performance

Optimized in-memory processing for speed, seamlessly transitioning to disk-based lookups for massive datasets.

Versioned Reference Data

Update lookup tables centrally. Ensure every implementation team member uses the current price list or territory map.

Use Cases

The go-to for data import solutions

For repeatable CSV, Excel, and JSON imports — not streaming ETL or analytics workflows.

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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