The Next Generation Talent Development Analytics Platform

The starting point to a useful learning measurement process is evaluation data collection. This session will discuss how to use learning evaluations so the process is simple yet, actionable.

This webinar will discuss practical approaches to measure learning and tell the story of impact using simple evaluation techniques, simple operational data approaches, and simple scorecard best practices. Doing these things will immediately improve your learning measurement capabilities without requiring complicated processes, creating a culture that supports and thrives in data-driven decisions.

We have spoken to over 180 learning professionals about what they wanted to change in their L&D measurement process. One trend that appeared was a need to have reporting more focused on the audience the report serves. The audiences served by L&D reporting come down to 3 audience types (excluding the data scientists that want the raw data). These audience types are: 1) instructors/designers, 2) program managers and 3) leaders/stakeholders. This session will share insights as to who these audiences are and what reports they need to be data-driven decision makers.

This document explores the potential of Artificial Intelligence (AI) to revolutionize talent analytics and drive business impact. It leverages a simple framework to think about AI and how it can be used at various points to maximize the value of talent data, improve outcomes, and enhance organizational agility.

This approach was developed as part of a partnership with Performitiv and an organization in the Financial Services industry. The intent was to get ahead of some difficult budget conversations, which virtually all L&D groups have had or will have.

AI isn't coming - it's here. Are you leveraging it to its full potential in your talent and learning strategies? This white paper explores the real-world opportunities and actionable strategies to transform talent analytics using AI, automation, and data storytelling. In a world where every decision counts, using data the right way is a competitive advantage.