How to Build a Learning Analytics Blueprint

How to Build Organizational Resilience with Learning Analytics

Discover how leading training teams are applying the four types of analytics to an enterprise training data architecture to empower data-driven decision making and organizational resilience.

Training teams sit at the epicenter of mission-critical decisions that have powerful implications for the future of business. Data generated and captured by training teams has the potential not just to demonstrate the response to business challenges but to forecast future disruptive events so organizations can remain resilient to them.


In this guide, you’ll learn:

  • The four types of analytics: Understand how to use critical analytics to level up your reporting strategy.
  • Real-world scenarios: Discover how leading training teams apply analytical themes and qualities to real-world scenarios.
  • Business stability and sustainability success: Learn how to master learning analytics to forecast future disruptors.
team meeting

Descriptive Analytics: What Happened

Every training team gathers activity reports, but what may be missing is the relationship between events. Activity reporting will always be important but placing activity into context is where the business intelligence value awaits for training teams. Discover how to evolve beyond training activity reports in this guide.

Woman writing notes on a notepad while reviewing pivot tables in Microsoft Excel on her laptop.

Diagnostic Analytics: Why it Happened

Root cause analysis of learning outcomes is crucial to substantiating the need for training as well as revealing its business impact. Interrogating business trends that reveal themselves early via the training function is where training leaders begin leading the business. Access the guide to explore how.

Man gesturing at a report with charts on laptop while his colleague considers the data.

Predictive Analytics: Forecasting Future Scenarios

Training is at the epicenter of change’s reverberating impact on business, and training data can provide the compass to navigate the uncertainty. Modeling data for future needs requires the ability to connect all your data to iterate against scenarios with multiple, dynamic variables. Learning tech can be prepared for this dynamism. Here’s how.

Man standing in a meeting room with his colleagues gesturing at a women holding reports.

Prescriptive Analytics: Future Success via Data Patterns

Training teams often rely upon the wisdom and experience of staff rather than data when it comes to forecasting success. While perspective is essential, a prescriptive data framework can empower your team to make business intelligent decisions faster and with more autonomy. Find out how.

Woman presenting a full report on a large monitor to a group of colleagues who are watching intently.

How to Architect Business Intelligence for Training