Disaster Recovery Plan
The documented recovery procedures for each critical system — containing recovery time objectives, recovery point objectives, failover procedures, test results, and the dependencies that determine recovery sequence.
Why This Object Matters for AI
AI cannot automate DR testing without structured recovery plans; without it, disaster recovery is a manual exercise that reveals gaps only during actual disasters.
Technology & Data Management Capacity Profile
Typical CMC levels for technology & data management in Financial Services organizations.
CMC Dimension Scenarios
What each CMC level looks like specifically for Disaster Recovery Plan. Baseline level is highlighted.
Database Schema Version F0: Schema changes deployed manually to trading databases; rollback procedures undocumented.
Can do nothing for financial services databases.
Version control schemas for trading and payment databases.
Database Schema Version F1: Schema scripts in shared folder; no version linkage to trading application releases.
Can list schema files for financial services databases.
Link to applications for trading and payment databases.
Database Schema Version F2: Schema versions tracked with basic metadata; payment DB changes require manual approval.
Can track versions for financial services databases.
Add change workflow for trading and payment databases.
Database Schema Version F3: Schema registry with automated validation; BCBS 239 data lineage traced through schema history.
Can validate compliance for financial services databases.
Implement registry for trading and payment databases.
Database Schema Version F4: Validated schema ontology with impact analysis; trading platform changes predict downstream effects.
Can predict impacts for financial services databases.
Deploy ML impact analysis for trading and payment databases.
Database Schema Version F5: AI-optimized schema evolution; performance and compliance automatically balanced.
Can autonomously optimize database schemas.
Ceiling of the CMC framework for this dimension.
Capabilities That Depend on Disaster Recovery Plan
Other Objects in Technology & Data Management
Related business objects in the same function area.
IT Asset Inventory
EntityThe comprehensive registry of all IT assets — servers, workstations, network devices, cloud instances, and software with specifications, patch levels, owners, and the relationships that form the configuration management database.
Security Threat Intelligence
EntityThe curated collection of threat indicators and attack patterns — containing IOCs, CVEs, threat actor profiles, and the risk contextualization that helps security teams prioritize responses.
IT Service Ticket
EntityThe transactional record for each IT incident or service request — containing issue description, affected system, priority, resolution steps, and the time-to-resolution metrics that drive service level performance.
Data Quality Score
EntityThe measured assessment of data quality for critical data domains — containing completeness, accuracy, timeliness, and consistency metrics with thresholds that trigger remediation when quality degrades.
Data Catalog Entry
EntityThe metadata record for each data asset — containing data definitions, lineage, ownership, classification, usage statistics, and the access controls that govern who can see and use each dataset.
Software License Record
EntityThe managed inventory of software entitlements — containing license types, quantities, deployment counts, renewal dates, and the compliance position showing over- or under-deployment.
Code Repository
EntityThe version-controlled collection of source code and configurations — containing code files, commit history, branch structure, pull request reviews, and the quality metrics that track code health.
Privacy Data Inventory
EntityThe catalog of personal and sensitive data across systems — containing data categories, storage locations, retention periods, processing purposes, and the data subject rights fulfillment status.
Patch Deployment Decision
DecisionThe recurring judgment point where IT operations evaluates which patches to deploy — weighing vulnerability severity, exploit availability, system criticality, and change window constraints to prioritize patching efforts.
What Can Your Organization Deploy?
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