Only data that meets your quality contract
moves forward.
Describe what valid data means for the business outcome. Datastreams evaluates every event while it moves and makes sure an invalid or incomplete input cannot silently become an output. No separate quality platform or hidden repair logic is required.
The guarantee applies to conformance with declared, testable rules. No technology can independently guarantee that an accepted source fact is true.
A guarantee you can verify
One hundred percent of delivered outputs have passed the declared checks.
This is a bounded operational guarantee: every output either satisfies the active quality contract or does not pass the gate. It is not a vague promise that all source data is inherently correct.
Every event is evaluated
The same versioned conditions run continuously, not only during a periodic clean-up or sample check.
Every failure has a path
Reject, quarantine, repair or escalate an exception instead of allowing it to disappear into downstream code.
Every result is explainable
Inspect which contract version, checks and exception decision applied to the operation.
Business meaning first
Define quality for the decision, not for an abstract dataset.
A field can be technically valid and still be unusable for a payment, customer action or AI decision. The quality contract combines technical checks with the business conditions required for that outcome.
Structure
Does the event contain the required fields, types and relationships?
Meaning
Do values use the agreed definitions, units, identifiers and reference data?
Completeness
Is everything required for this specific business outcome present?
Timeliness
Is the data recent enough and in the correct sequence to be used?
Provenance
Is the source known, permitted and appropriate for the intended decision?
Business validity
Do the values satisfy the rules that make the resulting action safe and useful?
No quality project after the fact
Quality control travels with the data operation.
The conditions are part of the same declarative definition that receives, processes and delivers the data. Teams do not need to rebuild the meaning in integration code, cleansing jobs and separate monitoring services.
input → quality contract → business rules → permitted output
Reject
Stop invalid data before it reaches a ledger, customer process, report or AI.
Route
Send an exception to the right team or system with the failed condition attached.
Repair
Apply an approved correction or enrichment rule and validate the result again.
Prove
Keep the active definition, result and exception path available for inspection.
Business cases
Prevent poor data from becoming an expensive business event.
Quality is enforced at the point where data is turned into a posting, customer action, partner message or automated decision.
Finance
Only complete and balanced postings reach the selected ledgers. Missing entities, invalid currencies or broken accounting relationships follow a controlled exception path.
Customer operations
Channel events are checked for identity, consent, required context and recency before they update a customer view or trigger a next action.
Supply chain
Partner data is validated against the shared contract before it is translated and delivered to each authorised participant.
AI and automation
Agents receive data that has passed the declared quality and permission boundary, while uncertain or incomplete input is withheld or escalated.
Change without losing the guarantee
Version, test and approve the quality contract before it becomes active.
Business definitions, sources and destinations change. Datastreams makes that change explicit so the organisation can see which quality rules were active for every processed event.
- Describe acceptance and exception conditions.
- Test representative and failing events.
- Approve the version that may run.
- Observe accepted and rejected outcomes.
- Change the definition without mixing code and data.
Start with the data defect that currently costs the business most.
We translate the required business quality, exception paths and evidence into one continuously enforced operation.
Map the quality contract