Learning Data Services

It is Time to Turn Your Learning Data Into Real Operational Intelligence

Modern learning ecosystems generate more data than ever before.

LMSs, LXPs, simulations, assessments, immersive environments, AI-enabled platforms, and workforce systems all produce signals about learning, performance, readiness, and capability.

But too often, that data remains fragmented, inconsistent, and difficult to use.

Yet Analytics helps organizations design, implement, and sustain interoperable learning data systems that make learning data accessible, actionable, and ready for enterprise analytics, AI, and decision support.

We bring deep expertise in xAPI, xAPI Profiles, Total Learning Architecture, Learning Engineering, open standards, and production-grade software implementation. Whether you are defining a strategy, instrumenting platforms, deploying SQL LRS, or sustaining a complex learning data ecosystem, Yet Analytics can help you move from scattered activity records to trusted operational intelligence.

Our Service Offerings

Advisory

Proven guidance for organizations building modern learning data ecosystems.
Our advisory services help teams make smart decisions about learning data strategy, standards alignment, architecture, governance, and implementation. We work with stakeholders across learning, technology, research, workforce development, and mission operations to clarify what data should be captured, how it should be structured, and how it can support better decisions.
Advisory engagements may include consulting, workshops, briefings, technical reviews, and strategic planning sessions.
Common advisory topics include:
- xAPI and xAPI Profiles
- Total Learning Architecture
- Learning Engineering
- AI Ethics for Learning
- Digital learning ecosystems
- Learning data strategy and governance
- Enterprise data architecture for learning and training
Use Advisory when you need a clear roadmap, expert review, or standards-informed plan before making technical decisions.

Team Augmentation

Engineering support for organizations ready to build, integrate, and scale.
Yet Analytics can augment your team with experienced engineers who understand learning data, xAPI implementation, secure deployment environments, and enterprise interoperability. We support customers moving from concept to production, helping them connect systems, instrument platforms, configure data flows, and implement the infrastructure needed to make learning data usable.
Team augmentation services may include:
- SQL LRS implementation
- xAPI Profile design
- TLA data filtering
- Learning activity data instrumentation
- Simulation, LMS, LXP, and application integration
- DevSecOps requirements support
- Data pipeline design and implementation
- Standards-aligned system integration
Use Team Augmentation when you have a goal, a project, or an existing technical team that needs specialized learning data expertise to move faster and reduce implementation risk.

Technical Support

Custom support for Yet Analytics software products and production learning data systems.
Open source software gives organizations flexibility and control. Production environments require reliability, security, documentation, training, and support. Yet Analytics provides technical support services for organizations implementing and maintaining our software products, including SQL LRS and related open source tools.
Technical support may include:
- SQL LRS phone support
- Custom service-level agreements
- Training for technical and non-technical teams
- Software upgrades
- Deployment guidance
- Troubleshooting and issue resolution
- Support for secure and enterprise environments
- Long-term sustainment planning
Use Technical Support when your organization needs confidence that its learning data infrastructure can be maintained, upgraded, and supported over time.

What We Help You Build

Yet Analytics helps organizations create learning data ecosystems that are:

Interoperable by Design
We use xAPI and open standards to connect data across learning platforms, simulations, applications, and enterprise systems.
AI-Ready
We help structure learning data so it can support advanced analytics, AI workflows, adaptive systems, and decision support.
Standards-Aligned
Our work supports modern learning technology standards and architecture patterns, including xAPI, xAPI Profiles, learning metadata, competency definitions, Enterprise Learner Records, and Total Learning Architecture.
Scalable and Secure
We design for real-world deployment, including cloud, on-premise, secure, and mission-critical environments.
Actionable
We help organizations move beyond data collection toward insight: performance signals, validated outcomes, readiness indicators, and evidence for continuous improvement.

Who We Support

Yet Analytics works with organizations across government, industry, and education that need to modernize learning, training, and workforce data systems.

Our experience includes complex environments involving:

LMSs and LXPs
Simulations and games
AR, VR, and XR platforms
AI-enabled learning systems
Cyber-physical sensors
Biometrics and wearables
Enterprise analytics systems
Secure government and defense environments

Why Yet Analytics

Yet Analytics has spent more than a decade building interoperability through research, open source software, and production learning data systems. We do not treat learning data as a reporting afterthought. We treat it as infrastructure.

Our team helps organizations design the semantic data models, instrumentation patterns, software systems, and governance practices needed to turn learning activity into reliable intelligence. We close the gap between Learning Engineering theory and real-world implementation.

Let’s Build Your Learning Data Ecosystem

Whether you are defining a learning data strategy, implementing SQL LRS, designing xAPI Profiles, modernizing training systems, or preparing learning data for AI, Yet Analytics can help.

Get in touch