Data Management
Data Management is now a strategic driver in a competitive landscape.
Effective Data Management transforms information into a strategic asset. At Eclipse, we help organizations ensure data is governed, high-quality, and ready to drive better decisions, regulatory compliance, and operational efficiency.
Data Management
Data Strategy & Governance
Business & Data Architecture
Data Lifecycle Management
Data Quality & Controls
Data Security & Privacy
Data Analytics
| Data Strategy & Governance
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Data Vision & Mission - Business Case Identification & Prioritization
- Data Management Framework
- Policies & Standards
- Operating Model
| Business & Data Architecture
- Data Architecture & Design
- Data Domains & Critical Data Elements (CDEs)
- Data Mapping
- Data Lineage
- Data Modeling
- Business Glossary
| Data Lifecycle Management
- Data Ingestion & Acquisition
- Data Storage & Management
- Data Sharing & Distribution
- Data Archiving
- Data Retention & Compliance
- Data Disposal
| Data Quality & Controls
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Data Profiling & Measurement
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Data Controls
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Data Quality Issue Management
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Data Remediation
- Data Quality Monitoring
| Data Security & Privacy
- Data Risk Management
- Data Protection
- Data Incident Response
| Data Analytics
- Business Reporting
- Data Integration, Aggregation, and Transformation
- Data Science & Machine Learning
- Data Visualization
Data Management Assessments and Trainings
We help organizations evaluate their data capabilities against industry standards and make meaningful recommendations to achieve target state data readiness.
Industry Standard Assessment Trainings
We deliver tailored, instructor-led Data Assessment trainings using industry standard frameworks such as the DCAM (Data Capability Assessment Model) designed to upskill teams and embed data management principles across the organization.
Enterprise Data Strategy Development
We partner with clients to define a clear data vision and roadmap that is right-sized for their organization and aligned to business priorities, technology investments, and existing operating models to maximize data value.
Data Governance Framework Adoption
We establish practical governance structures, policies, and operating processes to enable trusted, high-quality data and sustainable compliance.
