Model 1
Implementation, you operate
Ixia implements Ixia DQ on your estate and hands over. Your team operates it; Ixia is on call for rule changes and reviews.
Optional managed service
The platform does the checking every night. Ixia does the scoping, the rule work, the reading and the follow-through, so the business gets a trusted number and a named person behind it.
Runs on your SQL Server, your Power BI tenant and your mail system; no data leaves your estate. Commercial terms, including any subscription, are agreed per engagement.
What the business receives
Each step says whether it is automated platform functionality or human service, so there is no ambiguity about what you are buying.
Domains, sources, thresholds and exclusions, agreed with the data owners in business language. People.
The generic pack switched on, your conventions written in the Rule Builder, each on the data owner's confirmation. People, then platform.
Rules run on a schedule against every record and write every failure to the result table. Platform.
The Power BI report in your tenant and the daily update email, from the same run. Platform output, checked by Ixia.
Ixia flags the rules moving the wrong way, confirms fixes held, and raises recurring failures that point to a process. People.
New objects, new conventions, a migration ahead: rules added, changed or retired, always on written confirmation. People, then platform.
Model 1
Ixia implements Ixia DQ on your estate and hands over. Your team operates it; Ixia is on call for rule changes and reviews.
Model 2
Ixia operates the monitoring on your estate: reads the outputs, reports to stakeholders, follows up with data owners and proposes rule changes for their confirmation.
Model 3
Your team operates the platform. Ixia reviews trends on an agreed cadence, develops rules and supports programmes such as migration readiness.
Every model runs on your estate. A rule changes only on the data owner’s written confirmation; the reason travels with the rule, and exclusions and disabled rules are visible in the outputs.
Tell us which domains, how many sources and who owns the data. We will propose the model that fits and the scope to start with.