Incident & Problem Management
As of 2026-08-16
An analytics platform outage is not the moment to investigate root cause — it is the moment to restore service by the fastest safe path, using ITIL's core distinction between incident management (restore service, MTTR-driven) and problem management (permanent fix, prevents recurrence). This module defines a four-tier severity model for Datasphere/SAC/BW incidents, a layered on-call design (Tier 1 first responder through Tier 3 SAP support), the runbook content every platform team must maintain (named runbooks for data-flow failures, HANA OOM, SAC load failures, BW/4HANA process-chain failures), the five-whys RCA method applied to a real incident chain, and the MTTR/problem-closure/repeat-incident metrics that separate mature operations from firefighting. The learner leaves with a severity matrix, an on-call design, and a problem-record governance template.
What you will learn
- Understand the core concepts behind incident & problem management
- Apply ITIL in a typical SAP analytics engagement
- Recognize the 3-5 common mistakes and how to avoid them
- Position this skill in your personal brand and rate conversation
Incident & Problem Management for SAP Analytics Platforms
The distinction between restoring service and preventing recurrence is the core principle of ITIL incident and problem management — and it is frequently collapsed in analytics platform operations, with costly results. An analytics platform outage at 07:30 on a Monday morning, when CFO reporting dashboards are black, is not the moment to investigate root causes. It is the moment to restore service by the fastest safe path. The investigation comes later, in a structured problem record, and produces a permanent fix that prevents the incident class from recurring.
ITIL Concepts Applied to Analytics Platforms
An incident is any unplanned interruption or reduction in quality of an IT service. For an analytics platform, incidents include: SAP Analytics Cloud returning 503 errors; a Datasphere data flow failing with a connection timeout; SAP HANA Cloud entering a memory pressure state that causes query rejections; a BTP subaccount authentication service being unreachable; a scheduled report not refreshing by its SLA deadline. Incidents are managed by the service desk and on-call engineering, resolved against a target MTTR (mean time to restore), and closed when normal service is restored — not when the root cause is understood.
Prerequisites
- Intermediate hands-on experience on SAP analytics projects
- Review core concepts first: C038, C041, C040
Outcomes
- Understand the core concepts behind incident & problem management
- Apply ITIL in a typical SAP analytics engagement
- Explain the core architecture and decision points for Incident & Problem Management
- Apply a repeatable implementation pattern in a 15-minute lab format
Full module available to members. The full module adds: the decision framework · the end-to-end scenario walkthrough · the KPI scorecard · the anti-patterns · the code blocks · the knowledge check · the diagrams.