Table of Contents

2017-07-19 Session: Business Intelligence at the University of Iowa Foundation

2017-05-17 Session: Business Analytics & Information Systems major (BAIS) student capstone projects

2017-01-18 Session: UI Predictive Modeling for Recruitment & Retention

2017-11-18 Session: SAS to R

2016-09-21 Session: The 13 Most Common Dashboard Mistakes

2017-07-19 Session: Business Intelligence at the University of Iowa Foundation

Agenda

Josh Gants,  Interim Chief Information Officer and his team
Topics include: 

  • discussion of current state of data and reporting
  • Business Intelligence technical environment and architecture of solutions
  • overview of some of our dashboards and the larger projects associated 
    • how they are used 
    • lessons learned from the projects
  • future plans 
    • new Analytics department

2017-05-17: Business Analytics & Information Systems major (BAIS) student capstone projects

Agenda

  Michael Altemeier, Lecturer and Director, Tippie Analytics Cooperative, from the department of Management Sciences in the Tippie College of Business, will share an overview of the Business Analytics & Information Systems major (BAIS) student capstone projects. Michael will review the capstone project goals, approaches and strategies used to solve their objective. No slides are available, due to proprietary agreements, but some of the projects Mike shared include:

US Soccer – Soccer Attendance prediction. Data is provided which includes event characteristics (dates, locations, ticket price, attendance, and opponent). Additional data will need collected to aid in the analysis. The objective is to determine what characteristics drive attendance.

UIHC – Patient flow map and simulation. Information is known about patient flow timing at different points of the visit (check in, room assignment, exit). This team will visit UIHC and understand the current process and then build a simulation that can closely represent existing state. The team will work with the COO and present findings.

UIHC – No show / late arrival prediction. Given demographic and scheduling information, create prediction model for no-shows to aid UIHC in scheduling.

College Raptor – Predictive Modeling for College Enrollment. The project will include data about the college's enrollment profile, historical information on over 100,000 enrolling and non-enrolling students from prior years, algorithmic match scores, and estimated financial data for each student. This project's deliverable will be a model that predicts a prospective student's likelihood of enrolling at a college. The team will present findings to the company owner.

BMO Transportation Finance – Inorganic runoff prediction. 100K account schedules each have their own timeline. BMO would like to forecast when accounts will run-off unplanned so they can better schedule staff. Presentation at the companies Cedar Rapids is required.

2017-01-18:

Agenda & Slides:

UI Predictive Modeling for Recruitment & Retention

Michael Hovland, Director of Enrollment MgmtData Analytics
Knute Carter, Assistant Professor, College of Public Health

2017-11-18:

Agenda:

BI Related Announcements (Eric Hudson & Adam Pyatt, ITS)
SAS to R (Grant Brown, Biyue Dai, and Uche Nwoke, College of Public Health)

Slides:

SAS to R

2016-09-21: 

Agenda:

BI Community Purpose Overview & Background
BI Community Steering Committee Introduction
Stephen Few Dashboard Design: What NOT to do
BI Community Focus Session Input Forum
BI Community Kickoff PRIZE drawing (must be present to win)
Wrap-Up

Slides:

Download the slides: PDF icon2016-09-23 BI Community 13 Dashboard Mistakes.pdf

BI Needs Assessment report:

BI Needs Assessment

Handout: 

PDF icon13MistakesHandout.pdf