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How to Build a Learning Analytics Blueprint
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.
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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.
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.
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.
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.
