Verify-It
Introducing Verify-It
In the fast-paced world of business, maintaining accurate and reliable data is critical.
With Verify-It, you can effortlessly validate bulk UK B2B data for registered companies, government bodies, addresses, VAT, email, phone, and bank details with just a few clicks.
Say goodbye to manual checks and hello to automated, efficient, and reliable data verification.
Why Data Verification Matters
In today's digital age, information is abundant but not always reliable. Ensuring the accuracy of your customer and supplier master data is crucial to avoid misinformation, reduce risks, and make informed decisions. Verifying your B2B data isn't just a task—it's a strategic move to protect and streamline your business operations.
Benefits of Using Verify-It
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Increased Accuracy: Reduce errors and inconsistencies in your master data by leveraging verified information from authoritative sources.
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Time and Cost Savings: Automate the verification process, saving time and resources that would otherwise be spent on manual checks.
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Risk Reduction: Minimize the risk of dealing with fraudulent or unreliable businesses. Use the recheck functionality to keep your data up-to-date and relevant.
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Enhanced Compliance: Ensure compliance with UK regulations, such as GDPR, by maintaining accurate and reliable data records.
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Improved Data Quality Management: Verify-It significantly enhances your data quality management, offering a cost-effective and efficient solution to these challenges.
Key Features
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Bulk Validation: Validate multiple data points across various categories in one streamlined process.
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Automated Rechecks: Schedule regular rechecks to keep your data current and reduce the risk of outdated information.
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Comprehensive Coverage: Verify addresses, VAT numbers, company registrations, email, phone numbers, and bank details for a complete data validation solution.
Discuss your needs with a Verify-It expert
Why quality data matters
Building and maintaining supplier and customer relationships start with quality data.
Most organisations only react to invalid or bad data quality issues as and when they arise. This approach is inevitably time consuming and also risks creating additional problems when not communicated accross the business.
In so many cases the data owners and users recognize that quality issues exist but lack the tools to be able to address the root causes. The problem therefore only magnifies over time resulting in a myriad of different issues.