40-60% duplicate reduction · 99.5% accuracy
Data Cleansing Services
Duplicate records, outdated contacts, and inconsistent formatting are degrading your data quality, and every report, campaign, and decision built on that data suffers. Acelerar’s data cleansing teams scrub your database clean so every record is accurate, unique, and standardized.
Data Cleansing
What does data cleansing include?
Data cleansing is the systematic process of detecting and correcting inaccurate, incomplete, duplicate, and improperly formatted records in a database. This includes deduplication (merging or removing duplicate records), standardization (normalizing formats for names, addresses, dates, and phone numbers), enrichment (filling gaps in incomplete records), validation (cross-checking data against authoritative sources), and purging (removing records that are no longer valid or useful). Dirty data costs businesses an average of $12.9 million per year according to Gartner. Every marketing campaign, sales report, and business decision is only as good as the data behind it.
Market Data
The data management outsourcing market
Data management outsourcing is growing as businesses deal with increasing data volumes.
What We Clean
Every type of data quality issue, resolved
Deduplication & record merging
Duplicate records inflate your database, distort analytics, and cause embarrassing double-outreach to the same contact. We identify duplicates using fuzzy matching across multiple fields (name, email, phone, address), then merge the best data from each duplicate into a single golden record. Typical projects reduce database size by 15-40% while preserving every unique data point.
See data management services →
Standardization & formatting
"NY", "New York", "N.Y.", "new york" - same state, four formats. When your database lacks consistent formatting, segmentation breaks, filters fail, and reports become unreliable. We standardize names, addresses, dates, phone numbers, company names, and custom fields to a single canonical format. USPS-standard addresses, E.164 phone formats, ISO date standards, and title-case names - every field follows the rules.
See data verification services →
Stale record updates & purging
Contact data decays at 25-30% per year. People change jobs, companies relocate, email addresses expire. We identify stale records by cross-referencing against current databases, flag contacts that have moved or left companies, update records where new information is available, and purge entries that are no longer valid. The result is a database that reflects reality, not a snapshot from two years ago.
See data appending services →
Cost Savings
The real cost of in-house data cleansing
A full-time data quality analyst in the US costs $40,000 to $52,000/year with benefits. With Acelerar, you get dedicated cleansing specialists for a fraction.
$45K/yr
per year / per person
Salary · Benefits · Data tools · QA management
$14K/yr
per year / per person
Dedup-ready · Multi-source · 99%+ match accuracy
Why Clean Your Data
Why businesses outsource data cleansing to Acelerar
Reduce Duplicates by 40-60%
Fuzzy matching across name, email, phone, and address fields catches duplicates that exact-match tools miss. Merge rules preserve the most complete data from each duplicate pair.
Improve Campaign Deliverability
Clean data means fewer bounced emails, less returned mail, and higher connection rates on phone outreach. Clients see email deliverability jump from 85% to 97%+ after cleansing.
Reliable Analytics & Reporting
When every record follows the same format and contains accurate data, your dashboards, segments, and forecasts actually reflect reality. No more inflated contact counts or skewed geographic reports.
CRM & Platform Native Cleaning
We clean data directly inside Salesforce, HubSpot, Zoho, Microsoft Dynamics, and other CRMs. No export/import cycles that risk data loss. Changes are made in your live system with full audit trails.
70% Cost Savings
Hiring a data quality analyst in the US costs $55,000-$75,000/year. Acelerar delivers the same cleanup at 70% less, scoped per-project or as an ongoing monthly retainer.
One-Time or Ongoing
Need a one-time database scrub before a migration? Or ongoing monthly cleansing to keep data quality high? We offer both models. Most clients start with a one-time deep clean and transition to quarterly maintenance.
How It Works
From dirty database to clean records in 4 steps
Audit
We profile your database: duplicate rates, formatting inconsistencies, missing fields, stale records. You get a data quality report with specific findings and recommendations.
Clean
Our team deduplicates, standardizes, validates, and enriches your records according to the agreed cleansing rules and quality thresholds.
Validate
Every cleansed record is reviewed against source data and quality rules. A before/after comparison report shows exactly what changed and why.
Deliver
Clean data returned in your format or applied directly to your CRM. Includes a quality summary: records processed, duplicates removed, fields standardized, issues resolved.
How dirty is your database?
Send us a sample of 1,000 records and we’ll run a free data quality audit - you’ll see your exact duplicate rate, formatting issues, and stale record count.
Get a Free Data AuditWe work with your data platforms
Our teams are trained on the platforms you already use.
What our data management clients say
“The Acelerar team is a self-sustaining machine. They’ve become an extension of our own team.”
“We needed reliable, fast data entry at scale. Acelerar delivered consistent quality from day one, no ramp-up time needed.”
“Acelerar handled our entire catalog migration (50,000+ SKUs) without a single missed deadline.”
Industry Outlook
Where data management outsourcing is heading
Data volumes are exploding, and outsourced data management teams are evolving with AI capabilities.