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While critical thinking is a difficult skillset for most of us, many of our team members have made a career out of completing the same task, in the same way, over the course of decades.
In this episode we discuss possible solutions to help these “legacy” team members develop the skills necessary to become successful in the automated world.
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Music for the show: Foolish Game / God Don’t Work On Commission by spinmeister (c) copyright 2014 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/spinmeister/46822 Ft: Snowflake
Welcome to data couture, the podcast about data culture at work at home. And on the go. I’m your host Jordan bohall. If you like what you hear, be sure to subscribe lows, get the latest episodes wherever you get podcasts. And if you’d like to stay up to date on everything data couture, be sure to follow us on Twitter at data couture pod. Finally, if you’d like to help support this in future episodes, consider becoming a patron of the podcast through our Patreon email@example.com. forward slash data couture. Now on to the show.
Welcome to data couture. I’m your host Jordan and on this data bites, we’re going to follow up on the death death death death. Credit Reddit, Reddit Reddit Reddit thing, thing, thing thing.
So stay tuned.
The Monday episode and talked about critical thinking and what I consider the death of critical thinking in our business lives. And by critical thinking, I prefer the definition of premises logically leading to a conclusion. Now in this data bytes, what I want to talk about is a problem that I generally spoke about on Monday, namely how so many of the people in our organization throw critical thinking out the window in place of what they’ve learned in the past through their skill sets or knowledge they’ve acquired in ways that they don’t necessarily understand or nevertheless, career they complete their jobs, without understanding the entire systemic issue that they’re trying to solve. Over in this version, and this data bytes, what I want to get at are the more tenured staff in an organization.
So I don’t know about you, but I have a very wonderful company that I worked for. And in this company, people stick around for a long time turnover for various types of roles is relatively seldom. And so we have quite a few people who have been in their roles for 1020, sometimes 30 years. And these people who are very, very good at their jobs, know exactly which buttons to push in which order, which time of the day to make sure that they get the jobs that they’re regularly assigned, done. Now, here I come.
Attempting to automate into introduced various elements of data and analysis and machine learning and predictive analytics and robotic Process Automation into their lives. With the grandiose claim that this can help them have a better job have more job satisfaction to be able to do things that they want to do at work instead of simply pushing buttons. Of course, they’re dubious. But whether or not they’re dubious is beside the fact because frankly, my team’s going to come along with our robotic process automation, with a robotic desktop automation with our pretty analytics, machine learning and artificial intelligence, with our automated dashboards with all of these modern tool sets.
And we’re going to be able to do what they do at fractions of the time, and far more accurate ways. Because let’s face it, it doesn’t matter how good you are at your job. If you have to sum up numbers all day long, or if you have to input data into various fields and various systems, you’re going to make mistakes, no one’s perfect. And, frankly, I don’t blame the people on my work, who make mistakes, it’s part of our lives. However, my team and I have the skill sets to automate this away to programmatically do these jobs in such a way that mistakes won’t happen. So my question to you, dear listener, is, how have you overcome this problem? How have you taken these very valuable employees and an organization these very tenured very knowledgeable, these people who have so much company history and lore in their minds, and convert them into being critical thinkers being critical of their job functions and making improvements that will help them Outlast this automation revolution to help them Outlast this data, revolution and disruption?
My only solution so far has been education campaign, which we’re very slowly getting off the ground, whoever is more and more people get on board, as more and more people start taking the classes that I and my team offer, my hope is that it will spread like a virus. I don’t mean it to be so negative, but it will spread in such a way that everyone across the organization will desire to take it will desire to improve their particular skill sets and hence their particular roles and therefore job satisfaction. Let me know down in the comments what you’re doing. I’ll be happy to respond to them. And hopefully, we’ll all learn something new from one another. So in that case, thank you for listening to this little data bytes, and I look forward to talking to you next week. Have a good weekend.
That’s it for the show.
Thank you for listening. And if you liked what you’ve heard, think consider leaving a comment or like down below. Stay up to date on everything data couture, be sure to follow us on Twitter at data couture pod. consider becoming a firstname.lastname@example.org forward slash data couture music for the podcast. It’s called foolish game. God don’t work on commission by the artist spin Meister used under the Creative Commons Attribution 3.0 license, writing, editing and production of the podcast is by your host Jordan bohall.