Review company, website, contact and required record fields so your working database is more consistent and usable.
Validation focuses on whether records meet the agreed project rules. Checks can cover company identity, website status, classification, contact information and required fields.
Confirm company identity and relevant status.
Review website or domain information.
Check required contact and role fields.
Apply consistent review rules before delivery.
The exact scope varies by project, but the working sequence remains structured and reviewable.
Structured stage of the B2B Data Validation & Cleansing | DBI Group workflow.
Structured stage of the B2B Data Validation & Cleansing | DBI Group workflow.
Structured stage of the B2B Data Validation & Cleansing | DBI Group workflow.
Structured stage of the B2B Data Validation & Cleansing | DBI Group workflow.
Avoid generic outputs. Define the market, fields and business use case first, then research to that requirement.
Start from your target market, audience and required fields rather than a one-size-fits-all list.
Use structured research steps to gather the information the project actually requires.
Keep output consistent through clear field rules and quality checks.
Return the final data in the agreed structure so teams can use it immediately.
Tell us what you are trying to achieve and what information your team needs. We can scope the research and delivery around that requirement.