Governance Isn't About Control. It's About Clarity.
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Two Platforms. One Path to Value.
DataGalaxy Catalog
Build trust & context through a collaborative catalog
Break Silos, Discover Data 10x Faster
Automatic metadata discovery maps your entire data landscape with pre-built connectors for Snowflake, Databricks, Power BI, and more
Automated Column-Level Lineage
Trace data from source to consumption with clear visibility on transformations, dependencies, and impact analysis
AI Copilot & Business Glossary
AI-powered search and documentation with consistent definitions that both people and AI can trust
DataGalaxy Portfolio
Drive alignment and value through a governed portfolio
Strategic Prioritization
Score each use case by value, effort, and risk. Align resource allocation with business priorities.
Full Lifecycle Management
Track every data & AI initiative from strategy and prioritization to delivery and value realization
Value & Outcome Tracking
Track usage, cost, and outcomes—report value realized, not just work completed
Built for Industries That Can't Afford Guesswork
Manufacturing & Industrial
- OT/IT data integration with full lineage
- Quality and compliance documentation
- Predictive maintenance readiness
Private Equity Portfolio Companies
When the hold period clock is ticking, you don’t have time for data archaeology. Governance accelerates value creation and exit readiness.
- Due diligence-ready data inventory
- Cross-portfolio analytics foundation
- EBITDA-impacting data initiatives
Insurance Brokers & Financial Services
Regulators aren’t getting friendlier. Build the data governance posture that satisfies auditors and enables AI-powered risk modeling.
- Sensitive data classification and tracking
- Audit-ready compliance documentation
- AI model governance and explainability
Mid-Market Enterprise
You don’t have the luxury of a 50-person data team. You need governance that works with the people and budget you have—not the enterprise playbook.
- Right-sized governance frameworks
- Self-service data discovery
- Embedded governance (not a separate job)
Trust Your Data. Govern Your AI.
Without structure, AI can create more problems than it solves—from model drift to bias, compliance failures, and reputational risk. DataGalaxy provides a clear framework to manage AI use cases, models, and data with transparency and accountability.
Designed for responsible AI practices including EU AI Act compliance, ISO/IEC 42001, and internal risk controls.
Establish Trust in AI Decisions
Full traceability between training data, models, and results
Align AI with Business Strategy
Capture ideas, define problems, prioritize, and evaluate value vs. feasibility
Mitigate Risk & Ensure Compliance
Define policies, custom risk scores, and governance workflows
Zero Ego. Zero Drama. All Expertise.
DataGalaxy is the platform. BlueYeti is the team that makes it work for your business—not the other way around. We’ve implemented governance for mid-market companies who can’t afford false starts.
We've Seen Your Chaos Before
Legacy ERP exports, Excel nightmares, tribal knowledge. We know the patterns.
Governance That Fits Your Team
We don't impose enterprise-scale bureaucracy on mid-market budgets.
Snowflake + DataGalaxy Integration
Native connectors for automatic catalog sync and lineage across your modern data stack.
Measurable Results, Not Reports
Data discovery 10x faster. Compliance ready. AI-ready data foundations.
BlueYeti Delivers
- Data estate discovery & maturity assessment
- Governance framework design
- DataGalaxy deployment & configuration
- Data catalog population & curation
- User training & change management
- Ongoing governance optimization
The Data You Can't Find Is Costing You
For mid-market companies with $50M-$2B in revenue, these aren’t just statistics—they’re competitive risks that compound every quarter you delay.
78%
Lack Data Confidence
of organizations do not have full confidence in their data assets.
— Dataversity
82%
Can't Find Data
of data users say finding the right data is their biggest challenge.
— IDC
73%
Data Goes Unused
of data remains unused for strategic purposes in many companies.
— ElectroIQ
66%
Need Better Decisions
say the most important reason to implement data strategy is to enhance decision-making.
— KPMG
Stop Talking About AI. Start Preparing for It.
There is no AI strategy without data strategy. The mid-market companies that win will be the ones who govern their data before they try to monetize it.
