addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscrossdots-three-verticaleditemptyheartexporteye-with-lineeyefacebookfolderfullheartglobegmailgooglegroupshelp-with-circleimageimagesinstagramFill 1linklocation-pinm-swarmSearchmailmessagesminusmoremuplabelShape 3 + Rectangle 1ShapeoutlookpersonJoin Group on CardStartprice-ribbonShapeShapeShapeShapeImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruserwarningyahoo

Adding Predictive Analytics to BI Team & Random Forest & Decision Trees using R

University of Colorado Denver - Tuesday January 14, 2013 @ 6:15pm MST

NOTE: For folks unable to attend in person register and we will email you a livestream link 2 hours prior to event.  

Large auditorium (170 person capacity) with 20' screen.

Location: CU Denver - North Classroom #1539 - 1200 Larimer Street, Denver, CO[masked] - Map:


6:15 - 6:30 Schmooze - Old Chicago Pizza will be served.

6:30 - 8:00 Adding Predictive Analytics to Existing BI Team by Mike Little and Greg Arnold

8:00 - 9:00 Random Forest and Cart Decision Trees using R by Jennifer Evans

9:00 - 10:00 Network at Old Chicago at 14th and Market.


Adding Predictive Analytics to Existing BI Team - Abstract

Many organizations have a Business Intelligence group or several that provide reports and data to leadership. A majority of these activities revolve around descriptive analytics trying to answer the question “What has Happened?”. Our presentation focuses on the challenges and lessons learned of adding improved analytics and predictive analytics skills to an existing BI team without breaking the budget. We discuss our grassroots approach and lessons learned through the early stages of our journey to provide greater insights to business decision makers.


Mike Little: Mike is Vice President of Management Reporting in Finance at Level 3 Communications. He is responsible for global financial business intelligence, predictive analytics, financial data governance, sales productivity reporting/analysis, and sales commissions. He has been with the company for over 11 years and has held numerous business intelligence / software development positions in finance, sales operations, and IT. Prior to Level 3, he worked as a consultant specializing in web application development. From a big data/predictive analytics perspective, they support multiple areas of the business by focusing on customer churn, employee churn, forecasting,  and cross-sell/up sell opportunities. He has a BS with an emphasis in Information Systems and Human Resource Management from the University of Colorado, Boulder.

Greg Arnold: Greg Arnold is Senior Manager of Data Science in the finance organization at Level 3 Communications. He has been with the company for 14 years in several roles from operations to business process engineering and IT. Prior to joining Level 3 he served in the US Navy as an Electronics Technician. He has a BS in Information Technology with an emphasis in web design from Kaplan University.

Random Forest and Cart Decision Trees using R - Abstract

Data Science using open source tools, building and evaluating models, using decision trees and ensemble methods such as random forest. This talk will cover the importance of data preparation and discuss a few algorithm implementations. Data science problems are not solved by just throwing together complex algorithms, advanced machinery, time, and data (and we already know the answer to that is 42). It takes creativity to prepare the analytic data sets, and the best algorithm to use depends on the data and the business question.


Jennifer Evans is a Data Scientist at Clickfox. She went to the Colorado school of Mines, studying Computer Science, Applied Mathematics and Engineering Physics. Clickfox is the leader in costumer experience journey analytics. Taking data from disparate sources, tying it together, and creating a unique individual costumer journeys across channel. The data science team provides analytics of a whole new kind of data at scale, with focus on building a software platform. The CEA Platform maps data across interaction channels and identifies the journeys that matter for the optimal decision-making on key business drivers.

Join or login to comment.

  • Michael M.

    February 7, 2014

  • A former member
    A former member

    Are the slides for 'Adding predictive analytics to BI Team' available?

    February 5, 2014

  • Michael M.

    Slides for Random Forest & Decision Trees using R:

    Slides for Adding Predictive Analytics to BI Team will be posted in a week after Level3 gives the presentation at Business Analytics Innovation Summit in Las Vegas, January 22-23, 2014.

    Video is unavailable for Adding Predictive Analytics to BI Team

    1 · January 16, 2014

  • Michael M.

    YouTube for Random Forest & Decision Trees using R

    1 · January 15, 2014

    • Dan D.

      Thanks for posting. I have not seen the first presentation posted. Will it be coming? Thanks again.

      January 15, 2014

  • Will S.

    I really enjoyed the presentations. I love talks that bring lots of experience from in the field.

    2 · January 15, 2014

  • Nitin k.

    Excellent presentation. Thanks Michael for arranging this. Do we have the recorded session also and it would be great if you can share the slides on meetup.
    Thanks again

    1 · January 15, 2014

  • Michael W.

    Livestream Link for Predictive Analytics to BI Team & Random Forest & Decision Trees using R -

    Embed Code:

    <iframe width="480" height="302"
    scrolling="no" frameborder="0" style="border: 0px none transparent;">
    <br /><a href=""; style="padding: 2px 0px 4px;
    width: 400px; background: #ffffff; display: block; color: #000000;
    font-weight: normal; font-size: 10px; text-decoration: underline;
    text-align: center;" target="_blank">Live streaming video by

    January 14, 2014

  • Binchao C.

    Please Share the recording link. Thanks

    January 14, 2014

  • Patrick

    Could I please be emailed the recording link? Thank You!

    January 14, 2014

  • deepak

    Please share the recording link. Thanks.

    January 14, 2014

  • Nitin k.

    Pl. share the remote link. It would be great if this session can be recorded...

    January 14, 2014

  • A former member
    A former member

    Attending remotely from Buenos Aires

    January 14, 2014

  • Michael W.

    For folks unable to attend in person we will post and email you a livestream link 2 hours prior to event.

    January 13, 2014

  • Steven W.

    Attending remotely from Washington D.C.

    January 13, 2014

  • Veni

    Attending remotely

    January 13, 2014

  • Jennifer B.

    Live stream please

    January 13, 2014

  • Andrew B.

    Live Stream please

    January 13, 2014

  • Jon M.

    Live stream

    January 13, 2014

  • jigyasa

    please share link for live stream

    January 13, 2014

  • Jack

    Live stream

    January 11, 2014

  • karl g.

    Will attend via LiveStream.

    January 9, 2014

  • Paul K.

    Will the Livestream be recorded?

    January 9, 2014

  • Doug R.

    Livestream, please.

    January 7, 2014

  • A former member
    A former member

    Livestream. Will not be able to be there in person.

    2 · January 6, 2014

  • Ron M

    Livestream, I won't be there in person.

    1 · January 6, 2014

  • Sudhamsh R.


    January 6, 2014

  • Sebastian R.

    looking forward to lifestream participation.

    1 · January 5, 2014

  • Connie O.


    December 18, 2013

  • Michael W.

    Book: Predictive Business Analytics by our own Gary Cokins

    A new book "Predictive Business Analytics" by Gary Cokins, a Data Science Assocation Advisory Board Member. Gary is a great writer who is an expert with talent for simplifying complex subjects with clarity. Gary is a trusted advisor and I strongly recommend that you purchase this book.


    Discover the breakthrough tool your company can use to make winning decisions

    Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting.

    See also: http://www.datascienc...­

    December 18, 2013

  • Diego K.

    I may be attending remotely...

    December 18, 2013

  • Nitin k.

    I will be attending remotely. Pl. provide details...

    December 17, 2013

  • George W.

    Will be a remote attendee

    December 16, 2013

Our Sponsors

People in this
Meetup are also in:

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy