Training Data Analytics 📊

Shauna partnered with Data Scientists to develop a comprehensive process of standardizing feedback and measuring the effectiveness of training company-wide.

Best Practices for Data Collection

Upon working closely with Data Scientists, Shauna identified core initiatives to standardize practices department-wide for collecting feedback on all training.

Exploratory Analysis

In order to discover actionable insights, she inputted data from multiple sources and used a variety of techniques and recipes.

Data Sources

Shauna received over 500 training feedback responses and triangulated this data with IT phishing reports and quiz scores to measure the success and impact.

52%

of all employees registered for the original training within 1 month of launch ✅ 💯

28%

increase of registrations compared to previous vendor compliance training ⬆️🎉

39%

of all employees completed the training within first month of launch 🏁🥇

Insights

Text Visualization

Word cloud generated in Dataiku with Text Visualization plugin.

Visualization is based on the prompt to describe my training experience in three words.

Data Visualization

To explore and visualize the data, she learned to use Dataiku’s flagship tool, Data Science Studio (DSS), harnessing the power of AI and Machine Learning to explore, analyze, and discover actionable insights.

Next Steps

Improve Click Rates

Decrease phishing scam click rates and improve core competencies for V2 cybersecurity training

Feedback & Revision Cycles

Methodically analyze training data after launch date in 3 month intervals

Standardizing Feedback

Standardize training feedback across courses to analyze the effectiveness of trainings company-wide

Next Up: Cultural Humility Training

Learn about how Shauna created intercultural training transforming how employees navigate cultural similarities and differences in the workplace.

Click here