Service
Data Managed Services
You built the data architecture. We keep it running. Monitoring, maintenance, and optimization so your team stays focused on growth.
Data systems decay faster than most teams budget for.
The launch goes live, leadership moves on, and the data stack starts drifting. A source system changes a field. A sync runs late. A governance rule gets bypassed because the business has a deadline. Six months later the same reporting and quality issues are back.
Object Edge stays on the hook after implementation. We run the managed layer that keeps pipelines healthy, quality rules enforced, and operating teams informed before small failures become executive escalations.
What we manage
- Pipeline monitoring, issue triage, and recovery across core business systems.
- Data quality rules, anomaly detection, and reconciliation workflows.
- Release support for schema changes, source system updates, and platform upgrades.
- Continuous optimization for performance, cost, and business fit.
Why this matters
Managed services are not a help desk function. They are what protects the business case after launch. If your AI program, analytics layer, commerce stack, or service workflows depend on trusted data, somebody senior has to own that reliability every week.
We bring the same engineering discipline we use in implementation. That includes AI-assisted diagnostics, production-minded alerting, and clear escalation paths tied to business impact.
Adjacent services
Teams usually enter here after systems integration and platform implementation or after a broader data strategy and consulting engagement. If recurring quality issues trace back to ownership gaps, we also tighten enterprise data governance.