The Validation of Machine Learning

October 9, 2017

Visier Workforce Intelligence proven to deliver predictions that are up to 17 times more accurate than other methods

SAN JOSE, Calif. and VANCOUVER, October 9, 2017 – Who is at risk of resigning? Who should be considered for a promotion or a new role? Predictive workforce analytics provide incredible opportunities for employers to curb costs and improve performance, yet many are based on simple regressions or static models, instead of machine learning technology, or are unproven in the accuracy of their results.

Visier Machine Learning data visualization showing a prediction for who has the highest propensity for promotion

Visier, developer of Visier Workforce Intelligence, the leading people strategy platform, has changed this paradigm. Delivering unmatched self-service predictive analytics for HR leveraging advanced machine learning techniques, Visier now enables its customers to validate predictions, case by case.

“Visier’s machine learning has always been industry leading, but just as research continues to improve self-driving cars and voice-activated assistants, Visier is making predictions on the workforce more accurate,” says Dave Weisbeck, Chief Strategy Officer, Visier. “Moreover, these benefits to increases in accuracy of predictions on the workforce have immediate and significant business benefits.”

Visier Machine Learning data visualization showing the validation data for a risk of exit prediction

Visier’s predictive analytics engine is designed to use random forest classification—a powerful machine learning technique– and combines classification with regression techniques. Data scientists have verified that predictions made using Visier are up to 17 times more accurate than other approaches.

Visier predictions are continually trained on employee data and events, including promotions, resignations, and internal hires, so that companies can stay up to date on which employees should be considered for a promotion—and predict which employees are most likely to leave or change jobs.

Importantly, the accuracy of Visier’s machine learning analytics can now be validated directly by Visier customers to confirm how close the actual number of exits, promotions, and internal moves were to their predicted values—and increase the trust of their stakeholders in turn. Further, to even better adapt predictions to the needs of an organization, customers can configure and personalize exactly which attributes to use in training the predictive models.

For more information, visit: www.visier.com/solutions/predict/

Find data-driven HR insights and tips at www.visier.com/clarity

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Visier and Visier logo are trademarks of Visier, Inc. All other brand and product names and logos are the trademarks of their respective holders.

About Visier

Our curiosity, the desire to understand, is inseparable from what it means to be human. But, in the hype of big data analytics, we’ve forgotten that data does not equal knowledge.

Visier was founded to focus on what matters: answering the right business questions, even the ones a person might not know to ask. Questions that shape business strategy, provide the impetus for taking action, and drive better business results.

Visier is dedicated to transforming business analytics, to providing leaders with clear answers to critical business questions — out-of-the-box, without the hassle and cost of data management, statements of work, and long and risky development projects.

Visier lets companies say goodbye to data quality problems, to complexity, to costly tools, to endless service fees, and to guesswork. A people strategy platform designed by domain experts for leaders, Visier lets leaders say hello to clarity, to confidence, to meaningful answers — and to better business performance. Say hello to Visier. Outsmart, outperform.

For more information, visit http://www.visier.com.

Media Contact:
Julie Galla
visier(at)sparkpr(dot)com

Human Resources Today
Human Resources Today