Table of Contents
- Slides: MS Power BI Overview
- The ITS Business Intelligence Shared Service Center (BISSC) will provide a MS Power BI Overview.
- Share the most recent architecture strategy, development and deployment options.
- Showcase BISSC Power BI Solutions
- Share their analysis methodology of MS Power BI as a tool and their findings
- Campus Power BI developers will join to share their development efforts and tool analysis of MS Power BI.
- BISSC will provide an update on the licensing options and direction of MS Power BI environment on our campus
Ben Rogers and Kang Lee will provide an overview of the trends in research computing related to data analytics and analysis such as the adoption of deep learning, python, R, and increasingly multimodal data sets. We will then talk about specific projects, classes, and services undertaken by Research Services including Python Data Analytics training, the Iowa Quantified IoT platform, and more.
Registration required: BIC@UI Tableau Qualtrics Survey
- Network Kickoff (Beverages and Snacks
- Tableau architecture overview
- BI Best Practices – Visualizations, drill through and Dynamic Dashboard Integration
- Tableau Higher Education Solution Showcase
- Network Break (Beverages and Snacks)
- Tableau Tech Talks and interactive Use Case scenarios
- BI Self-Discovery
- Calculations & Level of Detail Calculations
- R – Integration
- Tableau Roadmap & Wrap-up
Agenda & Slides
- What is SSIS and ETL?
- SSIS Server Architecture
- ETL Development Demo ("SSIS ETL within an hour")
- Start to finish of an ETL utilizing best practice frameworks
- Incorporate environmental variables, error handling and notifications
- Examples of data sources: Oracle DBMS, SQL Server DMBS, SharePoint list, REST API
- Use of Task Factory for part of the ETL
- Microsoft Roadmap
- Questions / Group Discussion
Agenda & Slides
Josh Gants, Interim Chief Information Officer and his team
- 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
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.
Agenda & Slides:
Michael Hovland, Director of Enrollment MgmtData Analytics
Knute Carter, Assistant Professor, College of Public Health
BI Related Announcements (Eric Hudson & Adam Pyatt, ITS)
SAS to R (Grant Brown, Biyue Dai, and Uche Nwoke, College of Public Health)
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)
Download the slides: 2016-09-23 BI Community 13 Dashboard Mistakes.pdf