Data-Oriented Infrastructure and Business Operations
Architecture + governance + quality + security + metadata + continuous operations.
Critical operations driven by data
Organizations with critical decisions, but inconsistencies, duplication, or low traceability.
From reports to operational control
Teams that need to move from “reports” to controlled operations with owners and metrics.
Typical building blocks (selected based on need, risk, and maturity).
Enterprise architecture
Domains, flows, layers, and operational standards.
Governance
Ownership, policies, decisions, and actionable metrics.
Quality and control
DQ rules, thresholds, alerts, remediation, and accountability.
MDM / critical data
Golden records, deduplication, and governance.
Security and access
Least privilege, segregation, and access auditing.
Metadata and traceability
Catalog, dictionary, lineage, and data contracts when applicable.
Data-process integration
Events, orchestration, and evidence-based automation.
Reliable analytics
Certified metrics and consistent semantic models.
Continuous operations
Monitoring, control, and continuous improvement.
90/180/360 roadmap
Target architecture plus deliverables, owners, and risks.
DQ + remediation
Rules, dashboard, alerts, and remediation workflow.
Catalog and definitions
Operational and technical definitions; ownership and traceability.
Auditable evidence
Documentation, logs, and controls for operations and auditability.
Diagnostic (fixed scope)
Typical range (scope-dependent). Map of critical data, risks, high-impact opportunities, and a prioritized plan.
Phased implementation
Typical range (scope-dependent). Incremental delivery with evidence, controls, and initial operations.
Monthly operations
Monitoring, control, audit support, and continuous improvement.