Data Validation

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.
Case Study: icare
Preventing data from gathering dust
icare is a NSW Government agency that provides care and support to people injured at work and on the road, and to businesses, government agencies, builders and homeowners. Find out how DCA’s data validation service helped the icare Dust Diseases Care team ensure continuity of payment to legitimate claimants, without compromising on budgets or major project deadlines.

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.
DCA ensures your data is up-to-date and accurate 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.