What Is Data Verification and Why It Matters
- Team Svenry
- Jun 27
- 3 min read
Data is the backbone of every business decision. Whether you are onboarding a new supplier, processing payments, or preparing financial statements, the accuracy of your data determines the success of your operations. This is where data verification plays a critical role.
In this article, we explore what data verification is, why it matters, and how businesses can use automation and artificial intelligence to ensure the reliability of their internal and external data.
What Is Data Verification?
Data verification is the process of checking whether data is accurate, consistent, and valid. It ensures that the information a company collects or receives; such as vendor names, tax numbers, banking details, and invoice entries, matches official or expected sources.
For example, when a company receives an invoice, data verification can confirm that:
The supplier exists and is active
The bank account belongs to that supplier
The tax ID is valid and properly formatted
No information is missing or altered
Verification is essential for maintaining data integrity and preventing financial losses due to fraud or human error.
Why Data Verification Is Crucial for Businesses
Incorrect or fraudulent data can cause a wide range of problems, from payment delays to compliance violations. Some of the key risks include:
1. Fraud and Scams
Fake suppliers or altered bank details can lead to unauthorized payments. According to the Association of Certified Fraud Examiners, billing fraud is one of the most common schemes affecting companies globally.
2. Regulatory Compliance
Many industries are required to verify business partner information to comply with anti-money laundering and tax regulations. For instance, the EU VAT Information Exchange System allows businesses to validate VAT numbers of European suppliers.
3. Operational Efficiency
Verified data reduces the number of failed transactions and the need for manual corrections, saving finance and procurement teams time and resources.
4. Trust and Transparency
Data verification supports informed decision-making and builds trust in internal systems and external business relationships.
How Data Verification Works
Modern data verification uses a mix of rule-based checks and intelligent systems. Key methods include:
Format checks: Ensuring data matches expected formats, such as bank IBANs or tax numbers
Cross-referencing: Comparing input data with verified external sources, such as GLEIF for Legal Entity Identifiers or government registries
Document analysis: Using AI to scan and interpret data from contracts, invoices, or forms
Real-time alerts: Notifying users when anomalies or inconsistencies are found
Svenry's AI and Automation in Data Verification
What makes our data verification different is our ability to look at the bigger picture. We do not just check one field at a time, we analyze the context, patterns, and behavior to uncover hidden inconsistencies and compliance gaps.
Whether you are managing thousands of invoices a month or onboarding new suppliers regularly, Svenry helps you:
Improve data quality and reduce manual work
Spot red flags early and avoid financial loss
Meet regulatory requirements with confidence
Strengthen trust in your business relationships
Getting Started with Data Verification
To improve data verification in your business:
Start by auditing your current processes
Identify common sources of error or fraud
Integrate tools that can verify supplier and payment data at scale
Ensure your teams are trained to interpret verification results and respond to red flags
Investing in reliable verification is not just a security measure, it is a growth enabler.
Start Verifying Smarter
No matter the size of your business, accurate data is non-negotiable. With increasing scrutiny from regulators and growing fraud sophistication, the cost of not verifying data is rising fast.
Let Svenry help you build a more secure, compliant, and efficient operation. Learn more about our verification and fraud risk platform by requesting a demo.
