Analytics is the science of logical analysis.
Analytics with employee recognition programs use recognition program output metrics, or usage data, and apply mathematical equations, statistical analysis, and computer software to paint a picture of what is going on.
However, different levels of analysis produce a different image and insights. The deeper you go with analytics, the more understanding you gain and the better action you can take.
Consider the following observations.
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I am constantly researching information to better understand employee recognition and how I can better help you with these insights.
I recently stumbled upon some great information about analytics and how it applies to recognition and I want to summarize it for you. Nothing mathematical or statistics oriented – so don’t worry!
The information I found was from Gartner. They are an amazing information technology research and advisory company. Always be on the lookout for their reports, press releases, etc., for incredible findings and future trends.
I also found a great summary documents from Information Builders an analytics company in Spain. Don’t worry the information is in English!
If you’re like me I was never good at statistics and barely passed the course in my second year of university.
But when I found these descriptions of the different kinds of analytics it was so simple and understandable I just had to pass it along to you. (more…)