Category: Data Analytics

Many companies are now recognising the benefits of a healthy and happy workforce more than ever before. If employees feel positive about their jobs, they are likely to perform better and take less sickness leave, costing less money and providing less work for the HR department. In the past, however, it has been difficult for […]

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GARMIN PARTNER WITH GLOBETREKKER CHALLENGE TO DELIVER A NEW ERA OF CORPORATE WELLNESS PROGRAMS AND ANALYTICS Garmin and Globetrekker Challenge have brought together world leading wearable and navigation engineering with leading edge wellness and analytics technology to offer a new frontier of corporate connected wellness. Wuerzburg, Germany – (November 8, 2016) Based out of Singapore, Globetrekker […]

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Wearables, a trendy addition to the fitness scene, along with corporate health programs can provide valuable insights into your health — alerting you on aspects like the number of calories you’ve burnt and how well you’ve slept, to potential health risks you may face down the road. Now imagine having all that information in the […]

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Health apps, wearables, platforms, fitness trackers…finding a tool or health program is not difficult, but finding the best fit-for purpose can be tricky. These tools and platforms fall under two categories: B2C or B2B health programs. On the surface these tools may appear to be relatively similar – both options provide a variety of features […]

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In a rapidly developing workforce and business environment, organisations face an array of ever-changing trends and HR challenges. To surmount these challenges, corporations need to keep ahead of the curve with modern HR strategies. Here are our key insights into up-and-coming trends and challenges to achieve an upward shift in employee engagement in 2016.

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A surge in sources and data-collection processes means that we’re constantly bombarded with heaps of facts and figures. In the age of information, we’re definitely not at a loss for data. However, how much of this data is useful for driving effective business decision-making? Or, are these immense amounts of information largely considered dumb data? […]

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