Key employee benefit tech trends in 2021

 

Employee benefit programs and the teams that deliver, manage and report on them have been thrust into the spotlight, with increased C-suite attention. The importance of providing a globally-consistent employee experience has also grown exponentially, accelerated by the pandemic. Wellbeing was unsurprisingly a key focus in terms of support and funding, and investment in employee benefits and technology increased across the board. However, organizations still have significant work to do when it comes to maximizing their use of data and analytics.

 



Never before have organizations reported such year-on-year changes

 



making changes to their benefits offering in response to the pandemic



reporting a change in the benefits their employees are using

 



spending more on benefits per employee
 



increasing investment in employee wellbeing
 



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The COVID-19 pandemic accelerated plans to centralize HR for 67% of organizations.
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Employee benefits and technology trends

 

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A bite-sized overview of the key findings from this year’s research.




The pandemic highlighted the need for HR teams to focus in on their data analytics capabilities

 

Most organizations made changes to their benefits in response to the pandemic, with more than 7 in 10 increasing spend overall. Yet with this increased cost, comes more scrutiny—88% of HR and benefits teams have seen more involvement from the C-suite. Our findings show employers struggled with utlizing data to prove how the changes they made impacted employees. A fifth of organizations aren’t using employee data at all in their reporting, and those who are face several key barriers:

 

The biggest blockers to using employee data for analytics?

 

Chart accessible description: Scoring 36%, concern around the storage and use of employee data comes in first place. This is closely followed by employers struggling with too many data sources at 32% and a lack of time for the team to dedicate to analytics with 31%. In 4th and 5th position, with 28% and 25% is a lack of technology and a lack of C-level buy in. Finally, poor quality data and not knowing where to start are in joint 6th position at 17%, showing there is still an issue with access to reliable data, and guidance on how to analyze it effectively.
  

 



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