Episode 52: (Data Bites) Leveraging Subject Matter Experts to Expedite a Data-Culture Transformation

On Today’s Data Bites we discuss how to select the best person for your Shadow Analytics Team!

SME’s (Subject Matter Experts) provide the best mix of senior experience, interest in continuous learning, and deep business knowledge. Find out why this is necessary for your data-driven cultural transformation!

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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

Transcripts:

Welcome to data tour the podcast about data culture at work at home. And on the go. I’m your host, Jordan Bohall.
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system.
Welcome to the tour. I’m your host Jordan, on today’s data bytes, we’re going to be talking about how to leverage your sneeze that is your subject matter experts to facilitate your analytics initiative, your data driven culture initiative. Now before we get to that, I want to give an apology we had a minor technical issue, which is why this particular episode did not come out at its usual time at midnight central standard time in America, or I don’t know all the other possible times that that would imply nevertheless, stay tuned and we will get right to it.
Okay, so welcome to the show. So today we’re going to be talking about subject matter experts or sneeze as they commonly called and the profession or I guess, probably any profession, not just the data profession. But nevertheless, I specifically want to follow up on Monday’s episode where we were talking about how to leverage shadow analytics teams to really facilitate this data driven culture that we’re all trying to shoot for, frankly, in our organizations. And part of that was, I mentioned that I’ve identified a small group of people, we’re at four people strong at the moment, to go through an initial round of shadow analytics training. And then this training to remind everyone we are bringing these people into our analytics fold, we’re getting them used to some of our standard tool sets some of our automation and visualization software, as well as giving them more or less a safe haven a safe playground, in which they can get some real data but not really harm any other production system. So our dev environment, as well as how to save it, and then tips and techniques for getting more data into our particular warehouse. Nevertheless, I wanted to talk today about how I go about choosing the people who will be on the shadow analytics team. And of course, over time, this will be less shadow analytics team and more just a, this is how we do business kind of thing. But nevertheless, at the moment, it is still in its shadow infancy phase. And I hope to expand this program to great effect across the organization in the next couple of years. So what do I do? Well, I’m looking for sneeze, I’m looking for subject matter experts. What’s a subject matter expert, you might ask? Well, these are the people who have surprise expertise in a specific field, or a technology that is commonly used across the organization. And, you know, one might ask why why would you focus on these sneeze when there are people probably who have more of an inclination towards technical side of things, or perhaps, I don’t know, know where the data lives, right where the bodies are buried? Well, the reason why one might focus on SMI is why I’m focusing focusing specifically on subject matter experts is because not only can I train them, can my team help them gain the sort of analytic skill sets that they need, because let’s face it, analytics, at least at this point in its history is just stats, even how low level stats combined with some coding combined with some algebra, and maybe a little bit of linear algebra, and then some visualization best practices, right? That’s, that’s really the kind of basic starter pack the basic stack that you need to dive into this industry. And so what can I do? Well, how I teach this to my students at whichever University you happen to be at. And so I know I know we can achieve that. The thing we can achieve cannot, I should say achieve is a deep historical knowledge of processes and member customer interactions and
deep business knowledge, you know, I can’t necessarily teach that. And so when I look for people to be on the current shadow Alex team, and soon standard operating procedures standard business procedure, are those people who have this deep knowledge of the tools they use the the data that goes into that the the processes from end to end how that works, as well as you know, usually good rapport with lots of people across the organization, because let’s face it, analytics is not a single player sport, it is absolutely a team sport. So they need to have good relationships with lots of people everywhere in the org. And so for this reason, I I’m I’m focusing on finding these needs. So that one, they have the sort of knowledge that I can’t teach to. Typically, if they asked me if they are a subject matter expert, that means they are at least somewhat matured, and they’re part of the organization. So they have shown leadership qualities they’ve shown the interest in learning, which is great for what I want to teach them. And, and again, they typically are those who have built great relationships with those across the organization. So they’re, they’re almost a no brainer for this early round of development of analytics across an organization and again, hopefully driving towards a data driven culture across the board. So this is why I’m attempting to leverage our subject matter experts for performing shadow analytics and ultimately, business analytics across my company. Let me know if you have any thoughts, leave them down below and I would be happy to engage. Till next time, I’ll talk to you soon. 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 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 spin Meister used under the Creative Commons Attribution 3.0 license,
writing, editing and production of the podcast is by your host Jordan. We’re
glad to see

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