Who this is for
Commercial analytics and insights
Stop rebuilding logic that already exists somewhere, and spend your time on analysis. Every metric your team publishes has one documented definition.
Data engineering and BI
See what depends on a field before you change it, document business rules where everyone can find them, and generate code that follows the agreed definitions.
Brand, finance and leadership
Get one answer to the question of how the brand is doing, and be able to see how that answer was calculated.
Governance, compliance and new analysts
Sensitive data is flagged, changes are logged, and a new analyst can learn the data from documentation instead of from whoever has time to explain it.
What changes for the team
How the work tends to look today, and how it looks once Clarity is in place.
How Clarity helps
A data dictionary organized around the business
Every commercial table and column documented with what it contains, where it comes from, who owns it and how it should be used, organized by business area rather than by database schema. An analyst looking for weekly new-to-brand prescriptions by territory finds the right table in minutes, along with the caveats that usually live in someone's head.
One definition for every KPI
TRx, NBRx, patient starts, persistence, share, reach, gross-to-net: each metric gets a single written definition covering the calculation, the time window, the filters and the exclusions, with an owner and a history of changes. When two teams disagree, the conversation is about which definition is right for the purpose, not about whose spreadsheet is correct.
Lineage from the dashboard back to the source
Follow any figure on any report back through the transformations that produced it to the source data it came from, with the business rules applied along the way. When a number looks wrong, the investigation takes an hour.
Change without surprises
Before a field is renamed, a feed replaced or a rule changed, see every table, report and dashboard that depends on it. Data engineering can plan the change and tell the people affected before anything breaks.
Audit-ready commercial reporting
Sensitive and personal data is flagged where it lives. Every change to a definition or a rule is recorded with who made it and when. When compliance, finance or an external reviewer asks how a figure was produced, the answer is already written.
An example
Two NBRx numbers
The brand team reports that new-to-brand prescriptions grew eight percent last quarter. The commercial analytics dashboard shows three percent. The leadership meeting is on Thursday.
In the past, an analyst would have spent days reconciling the two. With both definitions documented in Clarity, the difference is visible in minutes: the brand team's figure counts patients restarting therapy after a long gap as new to brand, and the analytics figure does not.
Neither number is wrong. They answer different questions. The meeting agrees which one belongs on the leadership scorecard, the decision is recorded against the definition, and the question does not come back next quarter.
Common questions
If yours isn't here, ask us directly.
What is commercial data governance?
It is the set of agreements and practices that make an organization's commercial data trustworthy: documented definitions for tables and metrics, clear ownership, controlled changes and a record of where each figure comes from. Its purpose is that everyone who reports on the business gets the same answer to the same question.
Do we need a large governance team to use Clarity?
No. Most clients start with the tables and metrics that cause the most disagreement and grow from there. The documentation is built up as part of normal work, not as a separate project.
Does our data have to move?
No. Your data stays where it is. Clarity documents it and connects the pieces; it does not become another copy.
Can business users use it, or only analysts?
Both. A brand manager can look up what a metric means and where it comes from. An analyst can find the right table and generate a query that uses the agreed definitions.
Where do we start?
Usually with the KPIs on the leadership scorecard and the tables behind them. Getting those documented settles the most visible disagreements first and makes the value obvious.
Does it help with audits and compliance reviews?
Yes. Sensitive data is flagged, changes are logged, and the path from source to report is documented before anyone asks, which turns audit preparation into pointing at what already exists.
Further reading
Glossary: Business glossary, Data catalog, Data dictionary, Data governance, Data lineage, KPI drift, New-to-brand prescriptions