B2B Marketing Data Quality Improvement Tools Check the Record, Not the Company
B2B marketing data quality improvement tools catch nulls, duplicates, broken joins and stale partitions. All of it measures whether a record is well-formed. None of it measures whether the record is true. A fully populated row with a fresh timestamp can describe a company that closed years ago.
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Where TAMI AI sits among B2B marketing data quality improvement tools
Validation and verification are different problems. You have the first one covered. The second needs a source outside your own systems, because nothing inside them knows what happened to the company.
Ground truth, not internal consistency
A dbt test confirms a field matches a pattern. It cannot confirm the business is trading. TAMI AI reads the live site and reports what changed.
Entity resolution that survives a merge
Company names arrive as six variants across four systems. TAMI AI keys on domain, which is stable where a fuzzy name match is not.
Fields you cannot derive
Technology stack, payment providers, carriers and trading status exist nowhere upstream. No transformation produces them, so nothing arrives duplicated.
WHAT OUR CLIENTS THINK OF TAMI AI
Catch the record that is wrong rather than malformed
Bad records rarely look like errors. They arrive clean, pass the tests and feed everything downstream. Nobody notices until a rep rings a disconnected number.
So TAMI AI checks them against a live web presence rather than a rule. Dissolved companies, dormant sites and departed contacts get flagged as facts, not anomalies.

The check runs continuously. It is not another job in the DAG waiting to be scheduled. Corrections arrive as the company changes.
Compare a loaded table against what those companies look like today. Open a free account and check one.
One company table, several consumers
Marketing segments on it, sales works it, finance reports on it and a model scores it. All four inherit whatever the table says, and none of them will discover a problem before the quarter does.
- Verify trading status per company against a live source
- Resolve entities on domain rather than on name matching
- Fill technology, payments and carrier fields that no upstream system holds
- Flag contact changes and departures as they occur
- Remove dissolved and dormant records before they propagate
- Give marketing attributes worth segmenting on
- Give sales contacts that reach an inbox
- Give finance company counts that reconcile
- Give models features that describe the real world
- Stop fielding the same data quality question every month
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No custom devs. Just plug in
With TAMI, demand generation becomes effortless. Setup takes minutes. Data starts flowing instantly. Here’s what TAMI integrates with:





Who else is TAMI good for?
TAMI AI for Sales Leaders
Gives leadership visibility into whether the pipeline, territories and forecast rest on real companies.
Learn more →TAMI AI for Marketing Teams
Supplies the market data behind a segment, so campaigns are built on more than industry and size.
Learn more →TAMI AI for RevOps Teams
Corrects the records that scoring, routing and forecasting run on, so automation is not amplifying errors.
Learn more →TAMI AI for Business Development
Helps BD teams find active companies, spot buying signals and open with the right angle.
Learn more →TAMI AI for Sales Operations
Delivers current data for reporting, forecasting and territory planning that holds up.
Learn more →TAMI AI for Founders & CEOs
Gives leadership a clear view of markets, competitors and opportunities before committing to expansion.
Learn more →Test a sample against something outside your own pipeline
Run a slice of your company table through TAMI AI and see how many records describe businesses that have changed, moved or closed since they were loaded.











