{"id":60997,"date":"2019-11-12T15:28:06","date_gmt":"2019-11-12T15:28:06","guid":{"rendered":"https:\/\/explore.local\/2019\/11\/12\/three-steps-make-learning-data-actionable\/"},"modified":"2025-04-04T19:27:23","modified_gmt":"2025-04-04T19:27:23","slug":"three-steps-make-learning-data-actionable","status":"publish","type":"post","link":"https:\/\/degreed.com\/experience\/fr\/blog\/three-steps-make-learning-data-actionable\/","title":{"rendered":"From Numbers to Insights: Three Steps to Make Learning Data Actionable"},"content":{"rendered":"\n

This is a summary of <\/em> Interpreting Data: Turning Numbers into Insights<\/strong>, a session at LENS 2019.<\/em> Find the full recording of the presentation at the bottom of this article. <\/em><\/p>\n\n\n\n

In a world where Venmo processes $51,892<\/a> in transactions every sixty seconds and that same minute means almost 350,000 scrolls on Instagram<\/a>, there\u2019s no shortage of data. What is apparent is a shortage of the ability to turn that data into something meaningful, like an insight you can act on or a decision you can make.<\/p>\n\n\n\n

This is as true for learning and development data as it is anywhere. Data is a tool, and like any tool, it\u2019s only as good as its user. So our team has put together three steps to get hands-on with your learning data and start using it to show business impact and drive decision-making.<\/p>\n\n\n\n

\"Data<\/figure>\n\n\n\n

Step 1: Cozy up to Your Learning Data<\/h2>\n\n\n\n

Get to know your learning data by spending some time in it. This will do two things: get you comfortable with the tools you have, and create an understanding of the data you have available to you.<\/p>\n\n\n\n

Here are some examples of ways to start getting familiar with your data:<\/p>\n\n\n\n