It’s official – Christmas is well and truly over. The tinsel and decorations have been put away for another year and the wrapping paper’s in the bin. No more lazing about in pyjamas all day watching festive films. No more reaching out for one last mince pie. It’s time to look to the future and think about what you’re going to achieve in 2018. So, this January, (like every January), I’m joining millions of people around the globe who are making new year’s resolutions and promises.
You may well be one of those millions too. And even though 80% of us will have broken our resolutions by February, it’s inevitable that we’ll repeat the process when January 2019 rolls around. Why do we put ourselves through this? Well, as humans, we’re on a never-ending journey of self-improvement, constantly striving to be better.
But where most fail, some succeed. How do they do it?
It seems that for anything we can improve at, there’s an app to track it and make it quantifiable.
People in Learning and Development love big data, or at least the concept of big data. It’s a perennial fixture of key trend lists, and we’re warned to ignore it at our peril. But there is risk involved in the L&D community viewing the collection of data as an end in and of itself.
When we take a look at compliance training, we often try to “justify” the learning to the reluctant user by listing the all of the empirical stuff that provides the context for the business case. “Data protection is important for us at Compuglobal Hypermeganet because in <insert recent year> there were <insert massive figure> breaches of data for our industry resulting in <insert inordinately large amount of money> in fines.” And yeah, it serves a purpose, to a point. Examples like this are an attempt at what we like to describe as a “war story” – using the worst case scenario to illustrate what a breach in compliance means.