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.
How do you handle very large datasets?
Our distributed processing handles datasets of any size — from thousands to billions of records — using parallel processing.
Can you build ongoing pipelines?
Yes — most clients run continuous pipelines that clean new data as it arrives, maintaining a perpetually clean dataset.
What is your accuracy guarantee?
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.