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  • Apply DataOps Principles with IDMC to Deliver Trusted Data at Scale

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Apply DataOps Principles with IDMC to Deliver Trusted Data at Scale

In data-driven organizations, speed without trust becomes a liability. Fragmented pipelines, manual handoffs, and scattered governance slow down operational decisions and increase risk.

This POV demonstrates how applying data operations (DataOps) principles on the Informatica Intelligent Data Management Cloud (IDMC) helps teams deliver reliable and auditable data more quickly.

What You’ll Learn

 
How to automate orchestration and CI/CD for repeatable data delivery

How to automate orchestration and CI/CD for repeatable data delivery

Practical ways to bake governance, quality, and lineage into everyday pipelines

Practical ways to bake governance, quality, and lineage into everyday pipelines

How to operationalize testing, monitoring, and version control across hybrid environments

How to operationalize testing, monitoring, and version control across hybrid environments

A real business case showing a 40% drop in manual effort and 60% better deployment consistency

A real business case showing a 40% drop in manual effort and 60% better deployment consistency

Why This Matters

For CIOs, CDOs, and data leaders, trusted data forms the foundation for faster, safer decisions. This POV shows how to turn DataOps principles into repeatable processes and platform-backed practices so your teams can scale analytics, meet compliance requirements, and lower operational risk.

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