Yet Analytics

About Yet Analytics

Yet Analytics provides a data instrumentation platform that enhances learning ecosystems by implementing the xAPI standard to collect and analyze performance data from various sources. This enables organizations in national defense to modernize their training analytics, improving data accessibility and actionable insights for better decision-making.

```xml <problem> Organizations struggle to effectively collect, analyze, and leverage learning data from disparate sources within their learning ecosystems. This lack of data accessibility and actionable insights hinders the modernization of training analytics and informed decision-making. </problem> <solution> Yet Analytics provides a data instrumentation and modernization platform that enables organizations to enhance their learning ecosystems through the implementation of the Experience API (xAPI) standard. The platform collects and analyzes performance data from various learning sources, making data accessible and actionable. By adhering to IEEE data standards and the Total Learning Architecture (TLA), Yet Analytics facilitates the interoperable flow of data, supporting data-driven insights and improved learning outcomes. The platform offers tech-enabled services and an open-source software portfolio, including Learning Record Stores (LRS) and data authoring capabilities for xAPI Profiles. </solution> <features> - **SQL LRS:** Open-source xAPI Learning Record Store with an onboard conditional logic processor. - **LRSPipe:** Open-source data forwarder filterable by xAPI Profile patterns. - **DATASIM:** Tool to model and generate synthetic xAPI data for testing and evaluation. - **xAPI for Unity:** Customizable publisher for tracking XR learning activity. - **xAPI Schema:** Clojure(script) schema for Experience API 1.0.3, providing validation of Statements and other xAPI objects. - **Pan:** Clojure library for validating xAPI Profiles, according to the xAPI Profile specification. - **Persephone:** Clojure library for validating xAPI Statements against xAPI Profiles, featuring interactive CLI and webserver applications. - **Moodle Logstore xAPI:** Emits xAPI statements using the Moodle Logstore, instrumenting 135 Moodle events and Big Blue Button. - **xAPI VLC:** xAPI integrated VLC player for tracking video watching behaviors offline and in desktop settings. - **xAPI Prepositions:** Adds prepositional relationships between actors and objects with xAPI, offering 150 English-language prepositions. </features> <target_audience> The primary customers are enterprise learning and training organizations across government, industry, and academia seeking to modernize their learning ecosystems and improve data-driven decision-making. </target_audience> ```

What does Yet Analytics do?

Yet Analytics provides a data instrumentation platform that enhances learning ecosystems by implementing the xAPI standard to collect and analyze performance data from various sources. This enables organizations in national defense to modernize their training analytics, improving data accessibility and actionable insights for better decision-making.

Where is Yet Analytics located?

Yet Analytics is based in Baltimore, United States.

When was Yet Analytics founded?

Yet Analytics was founded in 2014.

How much funding has Yet Analytics raised?

Yet Analytics has raised 1000000.

Location
Baltimore, United States
Founded
2014
Funding
1000000
Employees
20 employees

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Yet Analytics

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Executive Summary

Yet Analytics provides a data instrumentation platform that enhances learning ecosystems by implementing the xAPI standard to collect and analyze performance data from various sources. This enables organizations in national defense to modernize their training analytics, improving data accessibility and actionable insights for better decision-making.

yetanalytics.com1K+
cb
Crunchbase
Founded 2014Baltimore, United States

Funding

$

Estimated Funding

$1M+

Team (20+)

No team information available.

Company Description

Problem

Organizations struggle to effectively collect, analyze, and leverage learning data from disparate sources within their learning ecosystems. This lack of data accessibility and actionable insights hinders the modernization of training analytics and informed decision-making.

Solution

Yet Analytics provides a data instrumentation and modernization platform that enables organizations to enhance their learning ecosystems through the implementation of the Experience API (xAPI) standard. The platform collects and analyzes performance data from various learning sources, making data accessible and actionable. By adhering to IEEE data standards and the Total Learning Architecture (TLA), Yet Analytics facilitates the interoperable flow of data, supporting data-driven insights and improved learning outcomes. The platform offers tech-enabled services and an open-source software portfolio, including Learning Record Stores (LRS) and data authoring capabilities for xAPI Profiles.

Features

SQL LRS: Open-source xAPI Learning Record Store with an onboard conditional logic processor.

LRSPipe: Open-source data forwarder filterable by xAPI Profile patterns.

DATASIM: Tool to model and generate synthetic xAPI data for testing and evaluation.

xAPI for Unity: Customizable publisher for tracking XR learning activity.

xAPI Schema: Clojure(script) schema for Experience API 1.0.3, providing validation of Statements and other xAPI objects.

Pan: Clojure library for validating xAPI Profiles, according to the xAPI Profile specification.

Persephone: Clojure library for validating xAPI Statements against xAPI Profiles, featuring interactive CLI and webserver applications.

Moodle Logstore xAPI: Emits xAPI statements using the Moodle Logstore, instrumenting 135 Moodle events and Big Blue Button.

xAPI VLC: xAPI integrated VLC player for tracking video watching behaviors offline and in desktop settings.

xAPI Prepositions: Adds prepositional relationships between actors and objects with xAPI, offering 150 English-language prepositions.

Target Audience

The primary customers are enterprise learning and training organizations across government, industry, and academia seeking to modernize their learning ecosystems and improve data-driven decision-making.

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