The phrase “digital transformation” is so overused that it may be on the brink of its own transformation from a business imperative to a hackneyed refrain. Clichés aside, digital transformation "is" a business imperative and time is the enemy. So, let’s have a look at seven brain-busting steps that will enable you to create value in your organization through digital transformation.
Everyone was tweeting their #firstsevenjobs the other day. As I thought back on my job number 7, I remembered a traumatic lesson in the power of trust and truth. I named it "The Honesty Paradox."
When I asked a long-standing business acquaintance of mine why he was interested in data literacy, he said, "Data is all anyone is talking about. I don't know anything about it at all. I thought you guys would be a good place to start." In some cases, this would have been a totally reasonable exchange – a mid-level executive seeking continuing professional education. But in this case, the man's title was SVP Marketing. I say "was" because he just updated his LinkedIn profile. Not surprisingly, after three years at his present job, this 18-year corporate marketing veteran is looking for work. Sadly, he is unemployable. While he's under 40 and looks like a Millennial, he has been "inside" too long and lacks the skills to be competitive in this job market. So, in his honor, here are six things he could have done to future-proof his job ...
We just used a few overeducated millennials and some open-source code to get a bunch of cognitive nonrepetitive workers fired. Which sucks! Incredibly, we didn’t use AI or machine learning to do it, just imagination and some free stuff. The bad news is that unless these people learn to do higher-value cognitive nonrepetitive work, they are not going to be employable. And the really bad news is that even if they do learn to do higher-value cognitive nonrepetitive work, when we start using machine learning and AI tools to do their jobs, they will actually be unemployable.
Because the velocity of data is increasing and will always increase, the need for data literacy is increasing and will always increase. This does not mean that to be successful executive you have to become a data scientist -- quite the contrary. It means that in order to be a successful executive, you need to understand how data is turned into action, be familiar with the methods of data science and data scientific research, and be able to think strategically about how to use data to create value for your business. All other things being equal, there is a significant difference between being literate and being fluent.