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  • Writer's pictureNayaDaya

Webinar: How to Identify People Risks in M&A Through Scientific Analytics?

Through the 30-minute webinar you can find out how to reveal the employee turnover risk in mergers and acquisitions.

Many studies show that mergers and acquisitions often fail due to people and cultural reasons. Under the surface, there may be pain points that cause employee turnover and productivity loss.

To see the risks, deal with their root causes, and avoid the financial losses, you should understand the levels of and reasons behind employee engagement and disengagement. However, people are usually burdened with traditional surveys that indicate only the positivity or negativity of experiences – and do not understand engaged or disengaged behavior at all.

NayaDaya® M&A Analytics is a Finnish-Swiss innovation that uses emotions, science, and data to predict employee behavior in M&A – during due diligences and post-merger integrations. The standardized process and exceptionally intuitive tools make it amazingly easy to identify the people risks levels and the concrete root causes for people leaving their jobs or losing their performance.

CEO & Co-founder Timo Järvinen and Director & Partner Maria Kausto-Turner from NayaDaya Inc., a Finnish company focusing on people risks analytics, will show you how the game-changing innovation reveals business critical things that are not even asked from employees.

Webinar agenda:

  • People-related risks in mergers and acquisitions

  • Scientific method to understand emotions and engagement

  • Intuitive online tool with only three questions to employees

  • Illustrative metrics to predict employee turnover and retention

  • Scalable process to support DD's and post-merger integrations

  • Easy-to-use results to target actions and to avoid M&A failures

Further Information

NayaDaya® Analytics is a people risk analysis for employers, mergers & acquisitions, and capital investors. The service platform, based on emotions, science, and algorithm, reveals the risk levels and root causes for employee turnover and productivity loss. Further information at


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