Data Cleansing & Transformation

Turn Raw Messy Data Into Analysis-Ready Datasets

ML-powered pipelines that normalize, deduplicate, validate, and enrich your data — automatically.

99%

Output Accuracy

10x

Faster Processing

50+

Output Formats

ML-Powered

Deduplication

Overview

What is Data Cleansing & Transformation?

Raw scraped data is rarely ready for analysis.
It’s messy, inconsistent, duplicated, and full of errors. UBSoft’s ML- owered cleansing pipelines take your raw data and transform it into accurate, standardized, enriched datasets ready for your BI tools, data warehouse, or ML models.

✓ Smart Deduplication
✓ Data Validation
✓ Normalization & Standardization
✓ Data Enrichment
✓ Custom ETL Pipelines
✓ Quality Scoring

Features

Everything Included

Every feature engineered to give your business a measurable data advantage.

Smart Deduplication

Machine learning models identify and remove
duplicate records even when they’re not exact
matches — handling typos, abbreviations, and
formatting differences.

Data Validation

Rule-based and ML validation checks every
field. Invalid emails, malformed phone numbers,
and out-of-range values are flagged and corrected.

Normalization & Standardization

Consistent formatting for addresses, phone
numbers, currencies, dates, and names across all
records regardless of source format.

Data Enrichment

Augment datasets with additional attributes
— geolocation from addresses, company firmographics
from names, category classification from descriptions.

Custom ETL Pipelines

Full Extract-Transform-Load pipelines that
pull from multiple sources, apply your business
logic, and load into your target destination.

Quality Scoring

Every output record receives a data quality
score. Low-confidence records flagged for human
review. Full audit trail of every transformation.

Use Cases

Who Uses This Service?

Real-world applications delivering measurable ROI across industries.

Product Catalog Normalization

Merge product data from multiple suppliers into
a single consistent catalog with standardized
attributes and deduplicated SKUs.

CRM Data Hygiene

Clean and enrich CRM data — remove duplicates,
validate contacts, standardize company names,
and fill missing attributes.

Real Estate Data Integration

Merge property listings from 20+ sources into
a clean consistent dataset with standardized
addresses and deduplicated properties.

Financial Data Aggregation

Aggregate financial data from multiple providers,
normalize currency formats, and validate against
known benchmarks.

Our Process

How It Works

From kickoff to live delivery in 4 clear steps.

01

Data Audit

We analyze your raw data — volume, formats,
quality issues, and business rules — to design
your cleansing pipeline.

02

Pipeline Configuration

Custom transformation rules built for your data.
Validation schemas, deduplication logic, and
enrichment sources configured.

03

Test Run & Review

Pipeline runs on a sample dataset. You review
a quality report and approve before full
production run.

04

Production & Scheduling

Full pipeline deployed with scheduling, monitoring,
and automated output delivery to your destination.

Frequently Asked Questions

What data formats can you process?

CSV, JSON, XML, Excel, SQL dumps, Parquet, Avro, and plain text. We also connect directly to databases and cloud storage.

Our distributed processing handles datasets of any size — from thousands to billions of records — using parallel processing.

Yes — most clients run continuous pipelines that clean new data as it arrives, maintaining a perpetually clean dataset.

We target 99%+ output accuracy for standard cleansing tasks. Complex enrichment variance is discussed upfront.

Ready to Get Started with Web & App Scraping AI?

Free 30-minute consultation. Custom quote within 24 hours. 14-day free trial on all plans.

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Custom REST and GraphQL APIs

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ML-powered data transformation