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Glossary

Predictive analytics

The use of trained models to anticipate an outcome before it occurs, such as a service level breach.

The use of trained models to anticipate an outcome before it occurs, such as a service level breach. Its methodological value lies in enabling timely intervention, not merely in reporting what has already happened.

Its operational value depends on the alert arriving with room to act. Predicting a breach on the due date is a report; predicting it on day one is a chance to prevent it.

On this site: Governed AI →

Related terms

AI subordinate to the objective

The principle governing the incorporation of artificial intelligence into a process: every AI intervention must be justified by its contribution to the objective, a constraint or an…

Backlog

The volume of cases awaiting attention at a given moment. It is a flow indicator that anticipates deadline breaches before they occur and signals mismatches between demand and capacity.

Correlation and causation

Two measures moving together is correlation; one producing the other is causation — and a dashboard can only show the first.

Escalation

A design mechanism that raises a case to a higher level of decision or attention when a condition is met, typically the risk of breaching a deadline or threshold.

SLA

A committed and measured level of service, meaningful only when the commitment is calculated against real operations and can be explained.

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Dexon BPM platformDexon ServiceDeskDexon ArchitectExecutable ArchitectureDigital twin (DTO)Strategy executionMethodologyGoverned AI

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ITSM & PinkVERIFYGovernance & complianceSecurityRisk managementUse casesIndustries

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The companyContactPartnersGlossaryBlogLinkedIn ↗Microsoft Marketplace ↗

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