Critical Success Factors


The following critical success factors (CSF) are a set of practices known to increase successful production outcomes.

The successful implementation and operation of resilient, consistent, and cost-effective data systems depends on factors including:


You can manage enterprise risk in data systems, applications, and production changes in part through testing. Testing increases understanding of how systems behave. Testing may reduce severity of impact through early problem detection.

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Problems are most expensive to fix in late stages of product development or a project. By responding to business requirements through architectural design before advancing to implementation, you can reduce cost, delay, and wear-and-tear on your staff.

Adaptation and Integration

Technology solutions are not "one-size-fits-all". To produce a cost-effective solution, you should adapt suggested practices to the needs of your business. To meet the needs of your business, you should identify integration and control requirements before deploying new technologies.


Planning is essential to ensuring that function, scaling, and resilience of data systems will meet future business needs. Upgrades, migrations, audits, and capacity are aspects of database operation which require careful planning.