Your data universe is constantly expanding.
See it all.
The future is
Data
Driven.
But the Enterprise is overrun with complexity and can't take advantage of its own Dataverse...
Third-party data availabilitySubject matter expertiseBusiness unit needsSolution Scalability & Customization LimitationsResource constraintsLack of lineageGovernance & Compliance RisksFailed Data Lake InitiativesInconsistent & Untrustworthy DataRapid evolution of toolsSoftware turnoverTactical vs Strategic prioritiesData SilosBudgetsAI Model Inefficiency & Bias
This causes companies to get stuck in the data project and reporting vortex, making it hard to continuously improve and unlock data's true value.
Maturity Model Simplified
Phase 1-2
Unorganized & Operational- Team / Dpt Driven
- Single POC
- As needed basis
- Localized data sets
- Status reports
- Data = manual or transactional systems
- Tool(s) investment
Phase 3-4
KPIs & Dashboards- Management level
- Reactionary / trend reports
- User driven analytics
- Enriched data sets
- Initial integration(s)
- Tool churn
- Incomplete lineage
Phase 5-6
Predictive Analytics / Insights- Large/Big data sets
- ML / Pattern identification
- Full scale integration
- Improved lineage
- Predictive variables
- Outcome based approach
- Availability for Modeling / GEN AI tech
A Metadata first approach will help unlock your data and drive value
Losers.
Winners.
AI readyCost savingsInnovationAutomationSpeed to valueFail fasterData accuracyRisk reductionCollaborationIncreased productivityOptimized spendDecision supportImproved complianceDiscoverabilityProcess efficiencies
See the full scope of your business
Your data universe is expansive, nebulous and growing all the time. By gaining a clearer view of what's out there we'll help you to make new connections, reveal potential and learn more about the true nature of your business.
Build trust in data-led decisions
By organizing and indexing the data behind the data, we not only analyse and order vast amounts of information – we enhance data clarity and access, meaning your people can work more closely, efficiently and productively.
Operationalize metadata with existing tools
Combine powerful tools with a forward-thinking data strategy to operationalize metadata and drive growth. Whether optimizing your team's performance or scaling AI capabilities, our solutions ensure you're prepared to meet the challenges of tomorrow.
Regardless of your Industry, we can help you be the master of your own dataBy
Hover over an industry to learn more
By
Industry.
Hover over an industry to learn moreFinancial Services
Healthcare
Retail & E-commerce
Manufacturing
Logistics & Transportation
Energy & Utilities
Government & Public Sector
Technology & Software
Telecommunications
Education
Agriculture
Media & Entertainment
DataverseREVEAL / DISCOVER / GROW
Our flexibility and collaborative approach allows our solutions to be deployed at the enterprise or functional level.
By
Function.
Hover over a function to learn moreIT
Data Science
Sales & Marketing
Finance
Procurement/AP
Supply Chain
Operations
Legal
Human Resources
DataverseREVEAL / DISCOVER / GROW
How we
FIT IN.
- Data Strategy Consulting – Align data initiatives with business goals using a metadata-first approach.
- Technology Implementation – Deploy and integrate metadata-driven tools to enhance data lineage, governance, and discovery.
- Training & Enablement – Equip teams with the knowledge to manage and maximize data assets effectively.
- Custom Lineage Solutions – Establish end-to-end data lineage across all your tools, ensuring full visibility into how data flows and transforms.
- Software Licensing – Access CMD+RVL's suite of tools, including data catalogs, metadata APIs, and automation solutions.
- Purchase Ready-to-Use Datasets – Gain access to high-quality, structured datasets built for specific industries and use cases.
- Metadata-as-a-Product – Leverage curated metadata to enhance search, discovery, and governance within your organization.
Case Studies.
Tech Startup Cleans Up Data Chaos
Years of 'move fast and break things' left a leading tech startup with a chaotic data environment—hundreds of tables, redundant datasets, and no clear understanding of what was useful or outdated. Engineering teams struggled with data reliability, high maintenance costs, and slow decision-making. CMD+RVL implemented a metadata-first approach, setting up automated monitors to classify datasets: critical vs. orphaned tables, high-quality vs. incomplete datasets, and frequently used vs. obsolete assets. With metadata-driven insights, the startup streamlined data governance, automated quality controls, and systematically reduced maintenance overhead. Key Outcomes: • 40% reduction in data maintenance overhead • Automated classification of 500+ tables • Improved data reliability and trust • Faster access to high-quality, decision-ready datasetsWhat do you want to RVL?
Discover
KEY QUESTIONSCHALLENGESINNOVATIONVISIBILITYDECISION SUPPORTOPPORTUNITIESEFFICIENCIES