Service monitoring
Observe pipelines, schedules, latency, resources, and critical service indicators.
Keep data services trusted after go-live
Source systems, data, and business needs keep changing. Operations require observable services, clear ownership, and a disciplined improvement process.
Assess your data operating modelServicesMore stable data services that are easier to trace and evolve.
Data value declines when operations only react to failures
Slow pipelines, incorrect data, and untracked source changes erode user trust. Operations must observe both technical health and data quality before users report a problem.
Service monitoringIncident and root causeData quality
Support scope
Incident and root cause
Triage, recover, trace causes, and prevent recurrence through verified changes.
Data quality
Track rules, exceptions, quality trends, and resolution with data owners.
Optimization and change
Review performance, cost, new demand, and controlled platform changes.
Operating model
- 01
Set the baseline
Define services, indicators, thresholds, and responsibility.
- 02
Observe proactively
Review technical health and data quality on an agreed cadence.
- 03
Resolve and learn
Restore service, record root cause, and update operational runbooks.
- 04
Improve with control
Prioritize optimization and change using observed impact.
Operational outcomes
- Incidents are detected and handled through clear responsibility.
- Users retain confidence in data used for decisions.
- Performance and cost evolve with business demand.
- Operational knowledge accumulates instead of remaining with individuals.
Discuss your data challenge
Share your goals, current environment, and priority scope to prepare for a conversation with ICS.
- Hotline
- 0931 487 231
- contact@ics.vn