Learning Analytics: Big Demand, But Bigger Challenges?

When I stepped into the extended enterprise learning world 25 years ago, the concept of data-based decision-making was vastly different. The analytics process was usually ad-hoc and reactive. And all too often, data was inaccurate, incomplete or lagged behind real-time by 24-hours or more.

Now data is plentiful – sometimes even overwhelming – and demand for insight is stronger than ever. This shift makes sense. After all, to compete in today’s dynamic digital economy, organizations must continuously make forward-looking decisions. The faster and more informed those decisions are, the better.


However, success depends on three factors:

The right data The right tools The ability to apply both data and tools effectively.

Read the full story by


David Kelly’s Curated L&D Content for the Week of 2/24/20 What is Selenium? | Simplilearn
We are updating our Privacy Policy, so please make sure you take a minute to review it. As of May 25, 2018 your continued use of our services will be subject to this new Privacy Policy.
Review Privacy Policy OK