❗️The Problem

You have the data.
It’s modeled, approved, replicated.
But no one maintains it. No one cleans it. No one even knows where it lives.

Eventually:

Because data without operational management is just digital clutter.

🧠 What DAMA Means by Storage & Operations

This area is about how data is physically stored, maintained, backed up, and made available — reliably and securely.

It’s not glamorous.
But it’s where reality happens:

Capability	Meaning
Physical Storage Design	How and where data is stored (DBs, tables, clusters)
Archiving & Retention	When data gets archived or deleted, and why
Operational Monitoring	Ensuring jobs, pipelines, and replications run correctly
Backup & Recovery	If something breaks — can you get it back?
Access Performance	Is data available when and where it's needed?

MDG focuses on process, but relies heavily on storage & operations.

Here’s where it shows up:

Operational Area	MDG Component or Concern
Staging Area	Tables like `USMD*_S`, managing in-process data
Data Replication	SOA, IDocs, SLT — need jobs, queues, monitoring
Archiving	Retention policies for inactive master data
Performance Tuning	Indexing, table design, change pointers
Error Handling	CR reprocessing, failed replication tracking

That’s operational failure, not business logic.

If you don’t know — you’re not managing data. You’re hoping.

Master data is not just approved.
It must be stored, maintained, monitored, protected.

Operations is not the backend.
It’s the layer that keeps everything alive.

Ignore it — and your beautiful model becomes a dead record in a forgotten table.