Bad data rarely announces itself. It slips in at the front door as a typo in a phone number, a fake email, or an incomplete address. By the time anyone notices, the cost has already been paid: a returned parcel, a fraudulent application, a marketing campaign sent to a dead inbox, or a compliance gap that should never have opened.
Most teams catch these errors after the fact, with overnight or weekly cleanup jobs. The question worth asking is simple: what if you could catch bad data the moment it enters your systems instead?
That shift, from cleaning data after it arrives to verifying it at the point of entry, is what Data Verify is built for.
Andrew Gonçalves, VP of Customer Success, recently led a practical, demo-led webinar that shows how it works, what has changed, and why it matters for any organization that depends on accurate customer data.
What is Data Verify?
Data Verify is Black Tiger's suite of individual and address verification solutions. It brings several long-standing offerings, Road 65, BelRoads, IDSO, and Movers, together under one name, backed by data that keeps getting better.
At its core, Data Verify's individual verification confirms the person behind each customer record, validating a name, date of birth, phone, and email against compliant reference data. Address verification standardizes and confirms physical addresses across 80+ countries.
Batch processing vs real-time API: two tools for two jobs
Data Verify supports two main access patterns, and most organizations end up using both.
Batch processing via SFTP
Batch is the workhorse for data you already hold. You send records through SFTP, we verify them, and you get them back. Batch is ideal for verifying existing databases at scale and includes duplicate detection, which makes it the right tool for keeping a large book of records healthy over time.
Real-time verification through an API
Real-time verification uses the same capabilities, but it calls them the moment a record enters your system, from your own application or customer-facing form. Instead of reconciling a file later, it catches problems at the door before they create downstream cost.
Batch verifies what already exists. Real-time keeps bad data from arriving in the first place. Together they cover the full lifecycle of a customer record.
What's new: stronger coverage, fresher data
Black Tiger has made a significant investment in the datasets that power Data Verify, and the results are live today.
- Belgium individual verification: now at 87%, up from 81%, making Black Tiger the leading individual verification provider in the Belgian market.
- France individual verification: now at 55%, up from 15%. This step change means requests that used to come back incomplete now resolve with much richer data.
- Monthly refreshes: the dataset is refreshed every month, so at any given point you are verifying against data that is at most a few weeks old, not a static file that quietly went stale.
- More markets on request: individual verification is available for the UK, the US, Finland, Germany, Norway, Poland, Sweden, Netherlands, Denmark, Italy, and Spain, with address verification spanning 80+ countries.
What real-time verification checks at the point of entry
Real-time verification is invisible to the person filling out a form, but it hands your systems a rich set of signals the moment data is entered:
- Email: confirms the address is deliverable and flags disposable or free-mail throwaways.
- Phone: distinguishes a mobile from a voice-over-IP line (a useful fraud signal at sign-up) and detects carrier and country.
- Address: standardizes the address, detects the country automatically, and matches it against official sources.
- Identity: returns a match score against compliant reference data, including national registries such as the Belgian National Register, with local registries checked based on location.
Seeing it run end-to-end is the best way to understand it. The webinar replay walks through a full account-opening flow from start to finish.
What happens when data is not clean
Real-time verification is just as useful when records are problematic. A disposable email returns as invalid, a VoIP number is flagged, a stale address comes back with a low confidence score, and a mover flag appears when the identity matches but the address on file looks out of date. Those signals let your teams catch issues instead of letting them pass through silently.
Built for KYC, AML, and fraud prevention
For financial services, insurance, credit, and any organization with regulatory obligations, the strength of your verification data directly affects your ability to meet them. Data Verify is designed for KYC and AML use cases: when someone opens an account, files a claim, or requests credit, you can confirm their identity details against compliant reference data in real time and flag risk before it costs the organization.
The same accuracy pays off well beyond compliance. Cleaner data means fewer failed deliveries in operations, better deliverability for marketing, and more reliable communications in customer service.
Why point-of-entry verification matters
Catching bad data at the door does more than improve quality. It takes work out of the system. Every record verified at entry is a record that never needs to be cleaned up later, which means fewer failed deliveries, less wasted outreach, fewer manual corrections, and fewer compliance gaps. The result is a lighter operation across every market you serve.
The bigger picture: Data Verify, Data Hub, and Data Chat
Data Verify is the entry point to a broader platform built on a single idea: get the data right at the source, and everything built on top of it gets easier.
- Data Verify validates and cleans data at the door, in real time via API or in regular intervals with batch processing.
- Data Hub unifies that verified data across your systems into one golden record per customer, deduplicated and reconciled.
- Data Chat adds a natural-language layer on top, replacing queries and reports with answers from data you can actually trust.
Data Verify is where most organizations already are today. The rest becomes possible from there.
Frequently asked questions
- How often is the Data Verify dataset refreshed?
For Belgium and France, the individual data is refreshed monthly, so what you verify against is at most a few weeks old. - Can I verify records outside Belgium and France?
Yes. Individual verification is available on request for the UK, the US, Finland, Germany, Norway, Poland, Sweden, Netherlands, Denmark, Italy, and Spain. Address verification covers 80+ countries. - What is the difference between batch and the real-time API?
Batch processing includes duplicate detection, which makes it ideal for verifying a database you already hold. The real-time API verifies one record at a time at the point of entry to stop bad data from arriving. Most organizations use both. - Is Data Verify suitable for KYC and AML?
Yes. It is designed to support KYC, AML, and fraud-prevention workflows by verifying identity and address data against compliant reference sources.
See it in action
The fastest way to understand Data Verify is to watch the real-time verification demo from our recent session.
Want to know what stronger verification would look like for your company? Talk to a Data Verify specialist and we will walk you through the coverage, markets, and access paths available.
