Operational Data Quality

Every downstream process is only as good as the data underneath it.

Operational data comes from many tools, each with different coverage, freshness and reliability. Without a way to rank and reconcile them, teams either trust the wrong source or trust none.

uControl measures and improves data quality.

uControl Insights feeds multi-source discovery, and uControl Core normalises it, ranks quality by source, resolves conflicts against gold-standard sources and tracks improvement over time.

Executive summary

Operational Data Quality gives you an objective handle on how good your data is and how to make it better. Insights supplies discovery; Core normalises, de-duplicates, scores quality by source and surfaces conflicts with lineage.

Confidence stops being a feeling and becomes a tracked metric that improves over time.

The business challenge

Poor data quality is expensive and invisible:

Sources disagree with no arbiter
Duplicates inflate counts and cost
Stale records mislead decisions
No lineage back to the original source
No measure of whether quality is improving

So automation misfires, reports mislead, and audits stall.

The uControl approach

uControl treats quality as measurable. Insights provides discovery evidence; Core normalises every source to a common model, applies identification rules, ranks quality by source against gold standards, and tracks alignment over time.

How it works

Normalise & reconcile Core

Core normalises structured and semi-structured sources to a common model and reconciles records into one trusted asset.

Quality scoring Core

Ranks data quality by source and tracks alignment to gold-standard sources over time.

De-duplication Core

Identification rules merge or flag conflicting records, removing duplicates.

Full lineage Core

Track source-to-asset lineage with audit-ready change history.

Discovery evidence Insights

Insights supplies fresh, independent discovery to reconcile the rest against.

Reference architecture

Your enterprise Discovery populates your CMDB, while uControl Insights discovers independently. uControl Core takes feeds from your Discovery, your CMDB and Insights to do the analysis.

Customer journey

Ingest Bring ITSM, discovery, cloud and custom sources into Core.
Normalise Core maps every source to a common model.
Score Rank quality by source and identify conflicts.
Resolve Merge duplicates and align to gold-standard sources.
Track Watch quality improve over time.

Key capabilities

Multi-source normalisation (Core)

Data-quality scoring by source (Core)

Gold-standard alignment tracking (Core)

Identification rules & de-duplication (Core)

Source-to-asset lineage (Core)

Independent discovery evidence (Insights)

Conflict surfacing & resolution

Audit-ready change history

Quality-improvement trends

Business benefits

Know which source to trust, and why

Fewer duplicates and stale records

Measurable, improving data quality

Reliable inputs for automation and reporting

Full lineage for audit

Confidence you can defend

Illustrative scenario

Multi-tool estate — illustrative

Conflicting asset counts across tools made every report contestable.

uControl normalised the sources, scored their quality and reconciled them against gold-standard sources — giving the team one trusted dataset with lineage, and a quality metric that improved measurably over the following quarters.

Frequently asked questions

How do you decide which source wins?

Core applies prioritised identification rules per source and ranks quality against gold-standard sources, so conflicts resolve consistently and transparently.

Can we trace a value back to its source?

Yes — full source-to-asset lineage and change history are maintained.

Is quality a one-off clean-up?

No — quality is scored and tracked continuously, so you can see it improve over time.