Advanced Data Management

Intralytics bridges the gap between traditional and modern data governance. We service traditional data management needs and accelerate the use of AI/ML capabilities to reduce DataOps costs for competitive advantage.

Traditional Data Management Execution

Data Governance Design & Operating Model
- Assessments & Roadmaps
- Data & AI Operating Models
- Data Stewardship, Profiling, & Cataloging
- Data Quality Level of Effort Sizing

Data Product Certification & Management

Data Product Certification & Management:
- Analytics-to-Source Decomposition & Certification
- "Data Governance as Code"
- Data Certification Contracts and Controls
- Performance Metrics, KPIs, and KRIs

Data Management Modernization Services

Assessments, Target-State Analytic Strategy, & Roadmaps
Accessibility & Democratization Strategy
Tool Selection & Integration
Model Selection & Customization for AI/ML
Prototyping & Testing Program Management
Platform Optimization

Intelligent Automation,
AI Agents, &
Gen-AI

Intelligent Governance Automation: Platform automation of data classification, privacy, and pipeline monitoring
AI Agents for Data Stewardship:
Enable AI agents to service data quality detection, root-cause analysis, data validation, enrichment, & more.
Gen-AI for Governance & Compliance: Applications pointed at your data products for no-code analysis, compliance monitoring, and policy review.

Advanced Data Management

Let's Get Engaged!