From Learning Data to Business Intelligence

Make use of your most unique asset.

A Different Approach to Learning Data

Building Modern Learning Data Ecosystems

Turn Learning Data Into a Strategic Asset

Yet Analytics delivers end-to-end technical and strategic services that enable organizations to capture, structure, and operationalize learning and training data.

Despite continued investment in learning technologies—and the push toward an AI-enabled workforce—most organizations still struggle with fragmented, inconsistent, and siloed data. Without a coherent data strategy, systems fail to interoperate, analytics fall short, and AI initiatives stall before they deliver value.

Yet Analytics solves this problem.

We help organizations unify their learning data ecosystems—maximizing the return on both technology investments and workforce development.

What Makes Yet Different

We specialize in data instrumentation and data design—ensuring that learning data is accurate, interoperable, and usable at scale.

We design and implement modern data ecosystems built on the Experience API (xAPI) and aligned with the Total Learning Architecture (TLA). Our work includes open source software and advanced solutions for:

Learning metadata
Learning activity data
Competency and skills frameworks
State-based learner records

Our experience spans complex environments, including:

LMSs and LXPs • Unity-based simulations and games • AI-enabled systems • AR/VR/XR platforms • Cyber-physical sensors • Biometrics and wearables

We have also contributed leadership to the field of Learning Engineering and to the development of core standards within the IEEE Learning Technology Standards Committee.

Yet Analytics closes the gap between Learning Engineering theory and real-world system implementation.

What We Deliver

We help organizations move from fragmented learning systems to fully operational learning data environments.

Our work aligns to the Learning Engineering lifecycle—from identifying needs to instrumenting data, implementing systems, evaluating results, and continuously improving outcomes. We translate research into production-ready systems that deliver measurable impact.

Strategy and Architecture
Define data strategy, align to standards, and design interoperable, AI-ready architectures that scale.
Data Instrumentation
Instrument LMSs, simulations, and applications to generate high-quality xAPI data that reflects real-world activity.
System Integration and Engineering
Design, build, and integrate solutions that enable seamless data flow across complex learning and operational ecosystems.
Analytics, Evaluation, and Decision Support
Transform activity data into actionable insight that improves performance, readiness, and decision-making.
Sustainment and Innovation
Provide ongoing support, enhancement, and applied R&D—ensuring systems remain secure, effective, and future-ready.

Trusted by Mission-Critical Organizations

Our work has supported advanced learning and training environments including at:

United States Army Simulation and Training Technology Center (STTC)
Air Force Research Laboratory (AFRL)
SparkX Cell at Joint Base Andrews
Space Training and Readiness Command (STARCOM)
Advanced Distributed Learning (ADL) Initiative
Naval Education and Training Command (NETC)

How We Work

We engage at any stage—from early strategy through full system implementation and long-term sustainment.

Advise – Define strategy, architecture, and standards alignment
Augment – Provide an engineering team to support implementation
Support – Sustain and scale systems in production

Built for Enterprise Impact

Yet Analytics delivers systems that are:

Interoperable by Design – leveraging xAPI and open standards to connect systems
Scalable and Secure – deployable across cloud, on-premise, and secure environments
AI-Ready – structured for integration with advanced analytics and AI platforms
Standards-Aligned – supporting initiatives such as the Total Learning Architecture