LS20 Conference Program

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608 - Data Literacy for L&D: Speaking the Language of Information

April 01, 2020
The Rosen Centre
Data & Measurement

"As data and analytics becomes a core part of digital business and data becomes an organizational asset, employees must have at least a basic ability to communicate and understand conversations about data."

— Gartner

With the digital transformation changing how we live, work and get things done, data-driven business decisions underscore Gartner's prediction about the necessary of "speaking data." You may not be the data scientist at your organization but most likely you'll need to communicate and work with those who are. As the pressure is mounting for L&D to prove its value, it is no longer acceptable just to report out course completions and time spent in the LMS. While learning data is a starting point, L&D needs to expand beyond and collaborate with experts on business intelligence data to make impactful decisions. To be able to do that, you'll need to speak the language of data.

This session explores the fundamental steps of problem solving with data: asking the right questions, collecting, analyzing, visualizing, making insights. Speaking data is like learning a new language in a foreign culture. In this session you'll go through a step-by-step business simulation and work in small groups to make decisions using live polling. You'll learn about structured and unstructured data and the importance of scrubbing, and see how a free Microsoft tool, called Power BI, is used to visualize data from various sources. Your group will then analyze the data to make actionable insights on what might be the best solution for the declining sales numbers, and how to use available training resources to make the biggest impact. Along with practical examples, we'll demystify some of the most commonly used terms: supervised/unsupervised learning, algorithm, descriptive, and inferential statistics.

In this session, you will learn:

  • The basics steps of problem-solving with data
  • What structured and unstructured data might be available in your organization
  • Why scrubbing data is important
  • How to use the free Power BI (desktop) tool to import your data for visualization
  • Basic machine learning and data vocabulary to be able to communicate better with experts

Audience:

Designers, developers, managers, senior leaders

Technology discussed:

Power BI (desktop), Kaggle.com

Speakers
Zsolt Olah, Learning Consultant - Kineo

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Sessions

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Keynotes

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Schedule

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Pre-Conference Activities

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Hotel Information

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Who Should Attend

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