Matching Pledge Commitment to Support New Odette Teaching Lab

Odette Lab %07 Rendering

 A fundraising campaign for a state-of-the-art Data Analytics Teaching Lab at The Odette School of Business has received a $350,000 matching gift from the E. & G. Odette Foundation and the P & L Odette Charitable Foundation. 

 

The Odette School of Business launched their $700,000 philanthropic campaign earlier this year with a goal of transforming its multipurpose computer lab into a premier Data Analytics Teaching Lab. The lab will support the school’s new undergraduate and graduate specializations in Data Analytics and increase its ability to recruit top business students and faculty from around the world. 

“The use of a state-of-the-art computing lab is a fundamental need for our students. Data Analytics has become an important driver for all programs at the graduate and undergraduate level at The Odette School of Business. As the use and availability of data explodes, business students require the skills to analyze and understand large data sets. Our vision is to create a lab that is among the best in all Canada,” said Dr. Mitchell Fields, Dean of the Odette School of Business. 

The lab will include 50 new cutting-edge workstations, new monitor systems, advanced teaching technologies, high-end processors, high-speed wiring, and industry leading software. In addition to providing teaching support, potential uses of the lab may include but are not limited to research projects, case competitions, outreach events, and in-house club competitions. The total campaign will see the school raise $1.1 million, with the University of Windsor internally providing $370,000 in capital funding to kick it off. 

The Odette School of Business is looking to its alumni and stakeholders to join the fundraising campaign. Donations to the initiative will be generously matched by the family foundations of Edmond and Gloria Odette (E. & G. Odette Foundation), and Patricia and Louis Odette (P & L Odette Charitable Foundation) who are also the school’s named benefactors. 

“As a practitioner in the field of Data Analytics, I took part in the school’s external consultation process at the beginning stages of developing this lab. I am confident that the lab will be a great opportunity for Odette students to learn and practise at the leading edge of data science,” said Lou Odette, son of Louis & Patricia Odette, and President of the P & L Odette Charitable Foundation. 

“We are pleased to endorse the school as they further their capacity in the field of Data Analytics. The E. & G. Odette Foundation is in full support of the new state-of-the-art Odette Data Analytics Teaching Lab that will operate as an instrumental resource for students and researchers” says the family of Edmond & Gloria Odette from the E. & G. Odette Foundation. 

To date, the business school has received generous donations from the University of Windsor Alumni Association, and several Odette alumni, that will be matched by the E. & G. Odette Foundation and P & L Odette Charitable Foundation. Construction of the new lab is expected to be completed by fall 2021. 

 

 

If you would like more information on how you can support our  fundraising campaign, we welcome the opportunity to speak with you about this truly high impact priority project at the Odette School of Business

Please ensure that online donations are clearly intended for the Odette Data Analytics Teaching Lab. Similarly, make cheques payable to the University of Windsor while referencing the Odette Data Analytics Teaching Lab on the memo line.
U.S. residents who donate to the Odette School of Business can receive a U.S. Tax receipt. Please make your donation payable to our U.S. Foundation, “Friends of the University of Windsor.” Again, clearly, state that your monies are intended for the Odette Data Analytics Teaching Lab.

By Mail
The Odette School of Business
Attention: Kelly Gosselin
401 Sunset Avenue
Windsor, Ontario N9B 3P4

By Telephone
Please call Kelly Gosselin
Odette School of Business
519-253-3000 ext. 3137

Online

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