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Cornerstone SMB Learning Management Survey Results

“Smooth seas do not make skillful sailors.”

Often attributed to Franklin Delano Roosevelt, this old African proverb helps us realize that some days can be tough on our journey. It is helpful to remember that rough seas help us learn how to manage, how to cope. And it is not just life skills we are talking about; it is an organizational dynamic.

Learning has often been billed as a competitive advantage, being able to adapt and adjust faster is how businesses think of employee learning and development (with the notable exception of those who are just focused on maintaining compliance). The thought process goes, “by developing and training our employees, well have the most skilled workers, which will translate into productivity, retention, and ultimately success in our marketspace.” All of which are true, but the year 2020 taught the world of work some additional, hard lessons about the value of investing in learning: the key to adaptability and survival of every business starts and ends with learning. Remote work, virtual collaboration, and new skills training became the lifeboat that saw us to shore. To our surprise, we found that not only could we survive this way, but we could also thrive.

We may not be able to predict the next crisis, competitor, or marketplace change, but you can prepare your workforce to be adaptable and your business to be ready to take on any challenge.

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Top 10 benefits of HR digital transformation in 2024

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Top 10 benefits of HR digital transformation in 2024

Fast and frequent changes in technology have forced almost every organisation to transform in some way, touching all parts of the business. For HR, this digital transformation is two-fold – transactional and transformational. Transactional includes processes like payroll, leave management, benefits management and time management, whereas transformational includes talent management (recruiting, learning, mobility, performance, business intelligence, workforce planning and the use of big data).

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