50 min
Analytics - in-house or outsource? with Luke Komiskey Funnel Reboot
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- Marketing
Episode 195
We all want our organization’s decisions to be driven by the numbers. Who wouldn’t want to have at their fingertips analytics that accurately show which course of action will be best.
But doing this takes analysts, and that doesn’t mean hiring them, it means managing them to function well. It means creating processes for them, Outfitting them with technology. Giving them budgets.It's hard pulling this off in a small or mid-sized organization, and even leaders of large organizations must exercise care when creating this.
But there’s no set-in-stone law that says a data team must be in-house. Another model, managed services works well for IT and it can be used to give companies access to analysts so they can still be data-driven.
We’re going to explore the outsourced analytics model with today’s guest.
Throughout his career, he has worked at the intersection of data, business, and strategy consulting. He earned his Bachelor's Degree from the University of Wisconsin-Eau Claire.
Following graduation, he joined Cargill as a Data Engineer from June 2011 to November 2013. He went on to serve as the Analytics Lead at Slalom from December 2013 to February 2016, where he claims to have been Minneapolis' first Analytics Hire.
In 2017, he co-founded DataDrive, a managed service provider specializing in analytics, alongside fellow data enthusiasts.
Let’s talk with Luke Komiskey.
Chapter Timestamps
00:00:00 - Intro
00:02:14 - Welcome Luke
00:17:38 - PSA
00:18:16 - Calculating value of having good data
00:49:29 - The MSP model
00:49:59 - Where to contact Luke
Links to everything mentioned in the show are on the Funnel Reboot site's page for this episode.
Episode 195
We all want our organization’s decisions to be driven by the numbers. Who wouldn’t want to have at their fingertips analytics that accurately show which course of action will be best.
But doing this takes analysts, and that doesn’t mean hiring them, it means managing them to function well. It means creating processes for them, Outfitting them with technology. Giving them budgets.It's hard pulling this off in a small or mid-sized organization, and even leaders of large organizations must exercise care when creating this.
But there’s no set-in-stone law that says a data team must be in-house. Another model, managed services works well for IT and it can be used to give companies access to analysts so they can still be data-driven.
We’re going to explore the outsourced analytics model with today’s guest.
Throughout his career, he has worked at the intersection of data, business, and strategy consulting. He earned his Bachelor's Degree from the University of Wisconsin-Eau Claire.
Following graduation, he joined Cargill as a Data Engineer from June 2011 to November 2013. He went on to serve as the Analytics Lead at Slalom from December 2013 to February 2016, where he claims to have been Minneapolis' first Analytics Hire.
In 2017, he co-founded DataDrive, a managed service provider specializing in analytics, alongside fellow data enthusiasts.
Let’s talk with Luke Komiskey.
Chapter Timestamps
00:00:00 - Intro
00:02:14 - Welcome Luke
00:17:38 - PSA
00:18:16 - Calculating value of having good data
00:49:29 - The MSP model
00:49:59 - Where to contact Luke
Links to everything mentioned in the show are on the Funnel Reboot site's page for this episode.
50 min