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How to Retain Talent Using Advanced Analytics

Learn how to tackle employee retention proactively with the help of data.

Karen Bouez


At yout own pace

1 hour

on-demand video

5 modules

+ additional resources


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If you’re considering taking your analysis of employee attrition to the next level and shifting your strategy from reactive to proactive, this course is perfect for you! You’ll learn how to use predictive analytics and modeling to identify factors that contribute to attrition, and how to take steps to prevent it before it occurs.

You’ll have a chance to experience and learn about concrete techniques to use, to first understand if their organization is facing an attrition problem and the reasons behind those departures, and then move to building predictive models to help prevent employee churn.

By the end of this session, you will be empowered to put this knowledge into practice to directly influence the company’s bottom line by addressing attrition in the organization.

Who is this course for?

This course is for those with some experience with people analytics, who wish to move one step forward in their career path:

  • People Analysts
  • Data Analysts

Key takeaways

What you’ll learn

What attrition looks like through the lens of descriptive analytics and how to uncover if the organization has an attrition problem and where it is coming from

Which analyses to apply to dig into the potential reasons behind departures with diagnostic analytics

Which techniques to use to prepare and optimize data for advanced analytics and accurate predictive models

How to interpret/translate your findings in a business-understandable way


Topics covered

This masterclass also includes a multiple-choice quiz and additional resources that lead you to a certificate.

Understanding Attrition Using Descriptive Analytics

Employee attrition can be a reflection of your organization from the business and people-side. It has a direct impact on the bottom line through savings related to the cost of turnover, cost of replacement hiring, loss of productivity, etc. Attrition is also an insight into how the employer is treating employees, a reflection of the culture, management style, compensation, and, in general, the employee experience in your organization. Learn how to use data to understand employee attrition in your organization.

Digging Deeper into Data by Using Diagnostic Analytics

Diagnostic analytics is a form of advanced analytics that examines data or content to answer the question, “Why did it happen?”. It is characterized by techniques such as correlations, driver analysis, and key influencers. All three types of analysis will be explained in this course.

Becoming Proactive in Using Predictive Analytics

Predictive analytics represents the use of data to predict future trends and events. It uses historical data to forecast potential scenarios that can help drive strategic decisions and answer the question, “What might happen in the future?”

Learn how to use historical data to identify patterns and predict future outcomes.

How to Translate Findings into the Business Language

Once you have all the data and insights, conveying your message to key stakeholders and driving action in the organization to address identified problems, makes a difference between the success or failure of your analyses. This course covers the basic elements of storytelling that drive action.

Way Forward

Achieving genuine success hinges on the effective execution of the uncovered insights from your analyses and predictive models. Follow a series of steps to make a true impact on the organization with the insights coming from your analysis, while at the same time making sure they are not misused.


Meet your instructor

Karen Bouez

Senior People Analytics Analyst at Chalhoub Group

Karen specializes in applying advanced analytics techniques, including machine learning and predictive modeling, to solve complex organizational problems.

With a passion for innovation and a commitment to delivering results, Karen is dedicated to helping businesses leverage the power of analytics to stay competitive specifically in this new era of work.

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