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June 21st: An Introduction to Statistical Analysis using R

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Dear Minneapolis BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI Minneapolis Chapter meeting on June 21st, 2016. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Our speakers will be DW/BI end-users reporting on their success and lessons learned implementing various BI tools or projects. Please see our detailed meeting agenda below.


Tuesday, June 21st, 2016, 8:00 am – 12:00 noon



Kroll Ontrack
8939 Columbine Rd
Eden Prairie, MN 55347


“An Introduction to Statistical Analysis using R”



8:00 – 8:30 am

Networking and Registration

8:30 – 8:45 am

Introductions and Chapter Business

 8:45 – 10:00 am

Presentation: “MDA + R/Python: Scaling up Data Science Teams” by Alex Bowers and Luke Stanke of Slalom Consulting


Less than a decade ago R was a tool that a handful of analytics professionals could use. Today the tool is now built to help increase team productivity and security, improve centralized data management, democratize metrics, and support professional data science teams at scale. This presentation provides insight on how analytic tools can be scaled up to modern data architectures.

10:00 – 10:15 am

Break and Networking

10:15 – 11:30 am

Presentation: "Accelerating the time to insight” by Evan Stanelle of Digifi


“Insights now!”  It’s the promise of our time, but is it realistic?  This presentation will outline an analytics maturity model, describe the typical data mining workflow, and demonstrate how cloud computing, paired with R, is indeed accelerating the time to insight while significantly reducing the total cost of ownership for advanced analytics.

11:30 – 11:45 am

Q&A and Wrap-up


Space is limited so sign up early!

To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.

Bios of Presenters

Evan Stanelle
Evan Stanelle has over 15 years of experience in predictive analytics and optimization, both as a practitioner and as a corporate leader at HSBC and Deluxe Corporation.  He is the founder of Digifi, an advanced analytics consultancy specializing in “cloud analytics,” where Evan spends his time networking, directing model development, and speaking.  Evan holds a master’s degree in Mathematical Statistics from San Diego State University and a master’s degree in Cognitive Psychology from the University of California, San Diego.
Luke Stanke
Luke Stanke is a consultant with Slalom Consulting. He specializes in information delivery and analytics. Luke has been an avid R user for almost 7 years and has used R for a variety of projects including fitting generalized linear regression model, scraping data from the web, and geospatial analyses. Luke is also a PhD Quantitative Methods candidate at the University of Minnesota.

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