Episode 40: (Data Bites) Will Automation Kill the Analytics Industry?

So many people are jumping on the bandwagon that automation is going to kill the Analytics Industry! I completely disagree!!!!

Instead, automation with democratize analytics for everyone in every industry. This is an amazing possibility, and it is something that I personally hope comes to fruition as soon as possible.

Stay tuned today for what this means, and how it can happen for you!

Data Couture is running a Kickstarter Campaign!!!! To help support the show head over to datacouture.org/kickstarter today!

To keep up with the podcast be sure to visit our website at datacouture.org, follow us on twitter @datacouturepod, and on instagram @datacouturepodcast. And, if you’d like to help support future episodes, then consider becoming a patron at patreon.com/datacouture!

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. To stay up to date with everything data controller, be sure to like and subscribe down below. Furthermore, be sure to follow us around the internet at data to her pod on Twitter, at data couture podcast on Instagram, and at data couture pod on Facebook. Of course, if you’d like to help keep the show going, then consider becoming a patron at patreon. com forward slash data couture. Now, onto the show,

Welcome to data couture. I’m your host Jordan, I’m on today’s data bytes, we’re going to be talking about the death of the business intelligence industry. Now before we get to that, let me say that my Kickstarter is often running. And if you would like to help support the show in the future or into the future, there are lots of really cool backer GIFs. For example, if you’re one of the top donors, you get to be interviewed on this very podcast. So please head over to dedicate tour.org forward slash Kickstarter that is da ta co uture.org forward slash Kickstarter to help support the show. Now let’s get to the episode.

Okay, so on Mondays episode, I asked the metaphysical question does data exist? And of course, since I am a pragmatist heart and the philosophical sense, I, of course, believe that data exists, and so far as we as humans create it. So Monday’s episode was really in response to all of those claims that data is the new oil. And frankly, I don’t quite understand that. And so in the previous episode, I was really trying to figure out, what does that mean, and at the end of the day, it just means that data is this sort of raw material that we’re going to be using to do all sorts of really wonderful things and industry in our lives across the globe. Now, something I’ve seen in lots of articles, and well, I don’t know, can you call LinkedIn posts articles? I don’t think I do.

Nevertheless, lots of people are starting to get on the bandwagon that business intelligence is going to die. Oh, my God, the death of business intelligence or death of the data industry, because of all these automation pieces, how scary, I don’t necessarily see it as that scary, I see it as the natural evolution. If we’re picking up from Monday’s theme, we’re just a bunch of people who stuck their sticks into the fire to create a torch. And that’s all the further we’ve gotten from the invention, or I guess the discovery of fire. That’s where we’re at in the data industry in the data profession.

And so when people say that, Oh, my God, I’m a automation is going to kill business intelligence with the rise of automated machine learning, who needs data scientists who needs these sorts of people who are practiced and skilled and various statistical methods, mathematical methods, various coding abilities, visualization techniques, as well as any sort of business sense or business understanding? Well, I think they’re wrong, I think it’s just going to be a part of the natural evolution of the maturity of the industry. And so what do I mean by that? I mean, I don’t necessarily see the need for an actual analytics team. coming up soon, maybe five years, maybe sooner,
maybe 10 years?

I don’t know, depends which industry you’re in and where you are, across the world. Nevertheless, given how powerful these techniques are, why should we have some cloistered group that is heavily skilled and very interesting and very difficult topics, when we have these automation techniques, we have these various and interesting and widely available, I suppose platforms and software solutions and software as a service or robotics as a service, all these different options for our businesses for our lives. Why should we have these people held up on a pedestal. And to be fair, I love my analytics team II, they’re great people. And we’re pretty tight, and we have a lot of fun together. But that doesn’t mean that the organization as a whole in order to survive should continue with that mindset.

Instead, these tools they shouldn’t be put into a silo. That’s what’s happening when we put this profession up on a pedestal. No, instead, this science, this data science, these analytic techniques, this business intelligence aspect, these visualization tools, the storytelling aspects, they should be available to everybody. They’re so powerful. And my team, for example, gets once because people want data, they want answers, they want to be able to understand customers, the business, what’s going on around them. And frankly, because my team is the size it is, we are SWAT, you know.

And it doesn’t matter how big your team is, depending on how quickly the organization picks up, how amazing and how cool these tools and techniques are, the more they’re going to want and soon your team’s going to be swamped, too. And so I say, let’s democratize data as the next evolution, let’s make it available literally to everyone in the organization. There’s no reason to only have experts. Now, with that being said, let’s have the caveat that Okay, there are some parts of data science, parts of machine learning and predictive analytics, artificial intelligence and deep learning and what have you machine vision? That Yeah, it does take a certain level of expertise. But that doesn’t mean that everyone in the organization can’t have these skill sets. Let’s start training people. Let’s start getting people involved.

That’s what I say. There’s no death of the data industry. There’s no death of business intelligence or analytics as a storied profession. No, it’s just going to change its face, it’s going to evolve, it’s gonna it’s gonna adapt to what’s required from the data. And at the end of the day, that’s what matters. And that’s what’s really exciting. Let’s, let’s do something that actually does help organizations. I’d love to hear your thoughts. Leave your comments, and be sure to subscribe down below. I’ll talk to you soon.

That’s it for the show. Thank you for listening. And if you liked what you’ve heard, then 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 patron@patreon.com forward slash data couture.
Music for the podcast. It’s called foolish game. God don’t work on commission by the artist spinmeister used under the Creative Commons Attribution 3.0 license,
writing, editing and production of the podcast is by
your host, Jordan Bohall.

Liked it? Take a second to support Data Couture on Patreon!

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.