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Office of
Business Partnerships

Building collaborative engagement 

The Office of Business Partnerships at Purdue University’s Mitch Daniels School of Business creates and provides solutions to the business challenges of today and the future.

Dedicated Daniels School professionals streamline opportunities for industry partners and alumni to connect with students and faculty beyond the traditional classroom setting. The partnerships office helps companies solve business challenges through consulting-focused experiential learning projects across all business functions via course-based engagements or contracts with our centers.

Applying the power of data to serve industry needs is in the Office of Business Partnerships’ DNA. Moving beyond theory into real problem-solving is a call to action our office takes seriously. We understand organizations large and small face uncertainty, rapid technological changes and the continuous need to train employees and cultivate new talent.

Let’s get started, together.

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The power of collaboration

There are so many ways we can work together to create and nurture a rewarding partnership that benefits your organization. Explore the opportunities that make up the core of a strategic partnership with Purdue and the Daniels School.

Partnerships in action

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Balancing Vehicle Pool Network

The Partner’s program provides unparalleled flexibility, allowing customers to rent vehicles, even on a daily basis. One of the program’s key benefits is the availability of vehicles "in-market," ready for immediate use when needed. This raises a critical operational question: Where should they strategically deploy vehicles to maximize customer benefits and optimize utilization?

A Comprehensive Marketing Strategy for an Indiana-based non-profit

The project was to assist a local non-profit organization in expanding their geographical reach and inclusiveness to individuals from diverse backgrounds. The business challenge was to develop a comprehensive marketing campaign to broaden the company’s market reach.

Forecasting Energy Market Behavior

Quantifying energy grid load by geography is extremely challenging since the grid is more akin to an undirected graph network than a clearly defined set of start and end points. In other words, electrons are not tracked directly from the generator to the customer connection. This black box effect makes accurately forecasting grid behavior (such as swings in demand, load, surplus, etc.) challenging, particularly when it is desirable to forecast realistic behavior in a focused region (ex., by zip code).

The industry partner has approached this previously by leveraging an eXtreme Gradient Boosting algorithm (XGBoost) trained on energy market data for a region of interest to regress against outputs from PLEXOS (an energy grid simulation tool), using price as a surrogate for a demand metric. Applicable time scales for prediction: next minute, next half hour, next hour, next 24 hours, next week, next month, next year.

Proposed Methodology: Leverage open-source algorithms like (S)ARIMA(X), XGBoost, Meta’s Prophet, ETS, and relevant neural network architectures like RNN, LSTM, or Transformers to simulate and predict energy.

Mike Pettit

Academic and industry partnerships bring together the best of industry-specific and cutting-edge business knowledge to craft new and innovative ideas.

Mike Pettit
Senior Vice President and Chief Financial Officer, Wabash

Read the full story about our collaborative partnership with Wabash.

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INPUTS








HELPER FIELDS

Outputs whether or not the respondent is Partnership and whether they are wishing for support from the Business Partnerships or Career Services Team. Field is needed because FormAssembly doesn't work well with deeply nested IF statements in JS.

Outputs whether or not the respondent is Faculty and whether they are wishing for support from the Business Partnerships or Career Services Team. Field is needed because FormAssembly doesn't work well with deeply nested IF statements in JS.

Used to output the proper User or Queue ID of the Case Owner. Field needed to properly set Case Owner on connector based off of respondent's support selection.

Variable for housing the Queue ID for the DSB Business Partnerships Office Team.

Variable for housing the User ID for the head of DSB Career Services (Claudine Meilink)
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