The Collaboratory Value Proposition
Gies faculty expertise can help your teams solve complex problems in Machine Learning, Econometrics, and Data Analytics utilizing multi-domain knowledge in Healthcare, Business Process Management, Information Systems, Public Policy, and Business Analytics while building long-term mutually-beneficial corporate-academic partnerships.
About Us
At Gies College of Business, our faculty teach a curriculum based on putting purpose to practice while conducting and applying rigorous research to contemporary business problems. Our approachable faculty are leaders in their fields – many with decades of industry experience – who set the standards of excellence in their research, teaching, and mentoring.
The Collaboratory Mission
While everyone understands the value of data, there is a significant shortage of talent and capabilities among firms to leverage this asset strategically and to combine the understanding with robust operational execution across the value chain. The IOSA faculty have a well-rounded knowledge of analytics, machine learning, dynamic operational decision making, artificial intelligence, and algorithms that can contribute to addressing this shortage.
Our Goals
- Empower firms to use data as a strategic asset by leveraging research backed insights and faculty expertise.
- Create a community council of partnerships and researchers by providing a structured engagement model.
- Create a knowledge portal through curation and publication of research outputs.
The Collaboratory Engagement Team
Sridhar Seshadri
Alan J. and Joyce D. Baltz Endowed Professor and Area Chair, Information Systems/Operations Management/Supply Chain/Analytics
Vishal Sachdev
Clinical Associate Professor of Business Administration and RC Evans Data Analytics Fellow
Ramanath Subramanyam
Associate Professor of Business Administration and William N. Scheffel Faculty Scholar
Have a Project in mind?
The passionate and experienced faculty at the Gies College of Business are excited to help your firm transform business through the power of data.
Together we can build better business
We are a large and diverse team of experts who are the driving force behind many successful programs. In the past five years, fourteen new faculty members have been added to a growing team of expertise.
The Engagement Model
