Duplicate detection
Identify repeated records and review duplicates before they affect your workflows.
Remove unnecessary duplicates, standardise inconsistent fields and prepare your existing B2B data for better business decisions.
Cleaner data gives your teams a more consistent foundation for everyday sales and marketing workflows.
Identify repeated records and review duplicates before they affect your workflows.
Improve consistency in names, formatting and selected business data fields.
Flag incomplete, obsolete or inconsistent information for further assessment.
Prepare a more consistent file for sales, marketing and business operations.
Good data starts with the right preparation. Review issues in your existing records, agree on the required changes and prepare a more consistent business dataset.
| Record | Sample Issue | Example Value | Status |
|---|---|---|---|
| Example 01 | Duplicate | Repeated company | Review |
| Example 02 | Formatting | Inconsistent phone | Review |
| Example 03 | Missing Field | Incomplete record | Review |
| Record | Review Action | Example Output | Status |
|---|---|---|---|
| Example 01 | Duplicate assessment | Flagged for deduplication | Reviewed |
| Example 02 | Format alignment | Standardised format | Reviewed |
| Example 03 | Completeness assessment | Missing value flagged | Reviewed |
A clear, agreed process from the first review through final delivery.
Review your existing file and discuss the issues affecting usability.
Agree on data fields, cleansing rules and expected deliverables.
Standardise selected fields and flag inconsistencies for review.
Assess the processed output against the agreed project criteria.
Receive your agreed Excel, CSV or customised file.
Practical applications for teams working with existing business records.
Improve the consistency of records used by sales and business development teams.
Review existing data before transferring it into another system or platform.
Prepare cleaner business information for targeting and campaign planning.
Understand how data cleansing can support your business requirements.
Atlas Data Bytes can review professional contact lists, company databases and other relevant B2B datasets. The scope depends on the fields, source material and agreed project requirements.
You can submit a description of your CRM export, its fields and the issues you want reviewed. File suitability and the processing approach are confirmed before the project begins.
Duplicate identification, formatting consistency and field standardisation can be included in a cleansing brief. The exact rules are agreed based on the structure and quality of your supplied data.
Yes. Reviewing duplicate, inconsistent and incomplete records before migration can help prepare a more consistent dataset for the next system.
You can discuss a sample or preview of the proposed output and the agreed review criteria before proceeding with final delivery.
Data cleansing is priced according to the project scope, file structure, record volume, processing rules and verification requirements. Request a quotation for your particular dataset.
Have a specific cleansing requirement? Share your project details with our team.
Tell us what needs attention in your existing data. We can discuss the scope, review criteria and delivery requirements.
Describe your existing dataset, the problems you want addressed and the output you need.
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Share your audience criteria and our team will review relevant sample options.