Turn scattered information into trusted, governed, and secure assets that power decisions, analytics, and AI.
Why It Matters
Data sprawls across SaaS, cloud, and on-prem systems. Without clear ownership, protection, and quality controls, teams ship slow, dashboards disagree, and risks grow. Effective data management brings order: classify what’s sensitive, control access, encrypt the right places, back up and restore reliably, and keep auditable records of who did what and when. Done well, it strengthens cybersecurity and makes regulated work easier.
Modern programs also embrace service models for backup and recovery at scale, covering the full data lifecycle, collection through analysis, so resilience is built in from day one.
How Data Management Is Built
- Sensitive Data Classification & Access: Practical tags for sensitivity and straightforward access rules (least-privilege, masking where needed), plus usage monitoring that limits exposure and supports accountability.
- Ownership, Catalog & Glossary: A searchable inventory of datasets with clear owners, agreed business terms, and end-to-end lineage, so people know what exists, what it means, and where it comes from.
- Data Quality & Reliability: Simple checks for completeness, accuracy, timeliness, and duplicates, with issues captured at the source and tracked to closure, so trusted data reaches teams faster.
- Master & Reference Data: Consistent “golden” records for customers, products, and suppliers with named stewardship, improving match rates and keeping reports aligned across systems.
- Lifecycle, Backup & Recovery: Retention and safe disposal rules, sized storage tiers, and tested backups (including DMaaS options) that protect against loss and speed restore after incidents.
- Ready Data for Analytics & AI: Curated, well-documented datasets with definitions and access paths, so analytics and models start from trustworthy inputs instead of one-off extracts.
- Audit Trail & Access Logs: Clear records of who accessed what, when, and why, making reviews and investigations faster and giving leaders confidence the controls work in practice.
What You Get
- Single view of critical data assets: A searchable catalog, shared glossary, and lineage that explain what exists, what it means, and where it flows.
- Faster, safer analytics and AI: Trusted, well-documented datasets with clear owners and access routes reduce friction and model risk.
- Lower data risk: Sensitivity tags, disciplined access, encryption, and activity monitoring shrink exposure and support accountability.
- Cost control without blind spots: Tiered storage, lifecycle rules, and de-duplication reduce spend while preserving essential visibility.
- Clear ownership and evidence: Named stewards, review cadences, and change history that stand up to leadership and customer due diligence.
- A foundation for BI and dashboards: Consistent definitions and reliable sources that keep reports aligned with reality.
Also Available from Nozom Consulting
- Robotic Process Automation
- AI Automation
- Business Intelligence & Dashboards