Data Verification and Validation

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Understand the health of your data

Verification and Validation

The first step in making the right data-driven marketing and business decisions is to know if your data is robust, accurate and complete. Whether you’re looking for new customers or ensuring you communicate well with current ones, the data you rely on is dynamic and fluid. 

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What’s the difference between data verification and validation?

Data ‘validation’ and data ‘verification’ are terms often used interchangeably. Most of us colloquially understand that valid and verified data is data that is accepted and right in some important way. This isn’t wrong: it’s just incomplete.

Both are vital to maintaining high database standards which are properly aligned with industry best practices. Data validation and data verification, used together, are a powerful toolset to ensure your data remains fit for purpose.

More Information: What is Data Validation?

More Information: What is Data Verification?

Verified Data

DCA can check the if your data is up to date and by:
  • Processing and matching all your data records to determine similarities and overlaps in details,
  • Identifying valid /invalid contacts against your customer and prospect accounts,
  • Checking the identity of each company and whether they are still trading,
  • Ensuring email bounces are identified at both syntax and mailbox level,
  • Making sure the telephone numbers you’re using are connected by checking the backbone of the Australian telephony network,
  • Verifying mailing and physical addresses against the Australia Post and GNAF address files.
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