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.

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However, success depends on three factors:

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

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