Jim Porzak’s Archives

Some past presentations and papers. Most recent first.

• A Data Structure for Customer Insights to DS Portugal Meetup. November 2018 (Lisbon)
• RStudio Projects to Oakland R Beginners Meetup, March 6, 2018.
  • Open above link & download. Then open with a browser.
• Data Wrangling in the Tidyverse – 21st Century R. Talk give to the DS Portugal Meetup. April, 2017.
  • Data Wrangling in the Tidyverse (Power Point Show)
  • Data Wrangling in the Tidyverse (PDF)
• A Data Structure for Customer Insights.  The written form of Jim’s recent data structure talks. Accepted for publication in Applied Marketing Analytics. (2017)
• Structuring Data for Customer Insights. Jim’s talk at IQPC Customer Insights & Analytics Summit. Austin, TX. August 24, 2016.
  • StructuringDataForCustomerInsights_IQPC_Austin_2016 (PowerPoint show).
  • StructuringDataForCustomerInsights_IQPC_Austin_2016 (PDF)
• dProf – A Data Quality Profiler Jim’s useR! 2016 poster describing the dProf package. see the GitHub repo github.com/ds4ci/dProf
  • Jim’s useR! 2016 Poster on Data Quality Profiler
• Leveraging an Erroneous Treatment – Did We Wake Sleeping Dogs, Reactivate Engagement, or Do Nothing At All? Ming and Jim’s talk at Predictive Analytics World, San Francisco, April 2016.
  • Leveraging an Erroneous Treatment – Did We Wake Sleeping Dogs, Reactivate Engagement, or Do Nothing At All? (PDF)
  • Leveraging an Erroneous Treatment – Did We Wake Sleeping Dogs, Reactivate Engagement, or Do Nothing At All? (PowerPoint show)
• Structuring Data for Customer Insights – by Business Analysts and Data Scientists – Jim’s talk at the Global Data Science Conference in Santa Clara on March 9th, 2016. This is an expanded version of the Nov 2015 talk at ODSC West.
  • Structuring Data for Customer Insights (InfoQ video & slides)
    Slides are synced with video, but each full slide is shown, not builds unfortunately.
  • Structuring Data for Customer Insights (PowerPoint show)
  • Structuring Data for Customer Insights (PDF)
  • Analyst Friendly Customer Insight Tables for a Subscription Business – PDF of the example high level data structure diagram used in above.
• A dplyr Evening – Lightning Talks. Jim’s contributions to the February, 2016 meetup of The Berkeley R Language Beginner Study Group.
  • dplyr Example 1 – BLS Wide to Tidy
  • dplyr Example 2 – Sessionize Web Events
  • dplyr Example 3 – Waiting for BART
• Structuring Data for Self-Serve Customer Insights. (YouTube) (Prezi) – Jim’s talk at ODSC West 2015 near San Francisco in November 2015.
• Customer Segmentation – A flexclust deep dive – Jim’s talk at useR! 2015 Aalborg, Denmark.
  • The PowerPoint Show version
• Data Driven Customer Segmentation – A whirlwind tour – Jim’s talk at the Global Predictive Analytics conference, Santa Clara, CA. May 2015.
• Introduction to R Packages – Jim’s quick introduction to R packages for the Berkeley R Beginners R Meetup on Oct 2013 which was a series of lightning talks on “My Ftavorite Package”
  • randomForest – My Favorite Package – Jim’s lightning talk at above Berkeley R Beginners Meetup.
• Sessionization Methods – Getting Past Big Data Noise – Jim’s deck from the IQPC Big Data Exchange in Berkeley Sept 2013.
• Large Data Methods: Keeping it Simple on the Path to Big Data  – Jim’s deck from the IQPC Big Data Business Form in San Francisco, Nov 2012.
• Subscription Survival Analysis  –  Jim’s deck from the SF Data Mining Meetup in San Francisco, June 2012
• Subscription Survival Analysis in R – Jim’s  talk at useR! 2012 in Nashville.
• Subscription Survival for Fun and Profit  –  Jim’s Subscription Survival talk at Predictive Analytics World San Francisco, March 2012.
• Hit the Deck Running! – The Ten Steps to Follow for Your First 100 Days. Jim’s talk at the IQPC Customer Analytics & Intelligence Summit in San Francisco, August 2011.
• Leveraging Open Source R for Predictive Analytics  –  Jim’s talk at the Predictive Analytics Summit in San Francisco, Nov 2010.  (I gave essentially the same talk in Feb 2011 at the San Diego Predictive Analytics Summit)
• RFM/B Worksop at N Cal DMA Lunch Group May, 2009
• ActionableAnalytics_DMANC_20090520 Jim’s lunch talk.
• Marrying Prediction and Segmentation to Identify Sales Leads – Jim & Alex’s talk at Predictive Analytics World, San Francisco, Feb 2009
• A Gentle Introduction to R (& its Applications in Business Intelligence) – Jim & Mike’s evangelizing the use of R; prior to our kicking off the SF Bay Area R Meetup at Predictive Analytics World in Feb 2009 (video). This talk was repeated at a couple of other venues before the kickoff.
• Direct Marketing Analytics with R  – Jim’s talk at useR! 2008 in Dortmund.
• Using R for Customer Segmentation – Jim’s tutorial from useR! 2008 in Dortmund. Two big sections: RFM/B segmentation & Cluster based segmentation.
  • CustSegData – data sets used in above tutorial.
• Predictive Modeling with Random Forests in R – A Practical Introduction to R for Business Analysts. – Jim’s webinar to the Direct Marketing Association’s Analytics Council. January 2007.
  • DMA_Jan07_DataCode – data set for above webinar.
• Using R for Customer Analytics – A Practical Introduction to R for Business Analysts.  – Jim’s tutorial at useR! 2006 in Vienna
  • CIwR – data sets for the above tutorial
• Data Profiling with R – Discovering Data Quality Issues as Early as Possible – Jim’s talk at useR! 2006 in Vienna.
• Doing Customer Intelligence with R – Jim’s talk to SDForum Business Intelligence SIG in Palo Alto, Oct 2004.
  • This is an expanded version of the missing useR! 2004 talk below which did not have the intro to R stuff.
• Doing Customer Intelligence with R – Jim’s talk at useR! 2004 in Vienna (looking for slides, but see above,  here is the abstract)