Krenicki Center

"The students brought top notch analytics skills, and more than that, they were able to apply those skills in a business context and with immediate productivity.”

— John Matchette, Senior Managing Director at Accenture

Accenture - About the Project

• Problem: An Accenture client sought to enhance workforce planning by improving defect forecasting, automating defect triaging, and optimizing staffing decisions across implementation phases.
• Solution: Developed a predictive analytics model using time-series forecasting and machine learning to improve workforce planning, reduce defect resolution times, and enhance decision-making.
• Impact: Enabled proactive workforce planning by forecasting staffing needs. Improved defect triaging, reducing resolution times and manual effort. Increased operational efficiency through data-driven workforce insights.

"Indy Reads has grown exponentially over the last few years and it is vital for us to maximize our understanding and utilization of data analysis to continue to provide outstanding service to our learners. The opportunity to work with Krenicki Center allows Indy Reads to learn from experts in the field and help accelerate our ability to implement process improvement.”

— Erin Kilbride-Vincent, Academic Consultant for Indy Reads

Indy Reads - About the Project

• Problem: Indy Reads sought to improve the efficiency and accuracy of their enrollment process by reducing manual data entry, streamlining data flow across multiple platforms, and enhancing the user experience
• Solution: Conducted a comprehensive process analysis, integrated key data sources into Salesforce Nonprofit Cloud, and implemented simple automations to reduce manual tasks .
• Impact: Increased efficiency by minimizing manual data entry across multiple systems. Improved data consistency and accessibility for staff and volunteers. Created a more user-friendly enrollment experience for applicants.

"Girl Scouts of Central Indiana has leaned into data analytics to guide strategy decisions at every level, allowing us to deliver a better experience to the more than 17,000 girls we serve across central Indiana. The importance of cookie season data is one of the reasons we are so excited to work with the Krenicki Center.”

— Lauren Palmer, Director of Communications at the Girl Scouts of Central Indiana

Girl Scouts - About the Project

• Problem: The Girl Scouts aimed to enhance the accuracy of their cookie sales forecasting to better support troop-level inventory planning and marketing efforts.
• Solution: Developed an advanced forecasting model incorporating historical sales data, troop participation trends, and external factors to improve predictive accuracy.
• Impact: Increased forecast precision, optimizing inventory and marketing decisions. Provided troop-specific recommendations for resource planning. Supported more effective fundraising through data-driven insights.

"It was a very helpful partnership. The students were very flexible and creative, and they tailored the content to our business, which was key to making it successful."

— Rebecca Cistaro, Demand Planning Manager at Gordon Food Service

Gordon Food Service - About the Project

• Problem: Gordon Food Service needed advanced, clearly structured technical training to strengthen forecasting and analytics capabilities within its demand planning team.
• Solution: A team of three Purdue students worked with GFS demand planners to develop four detailed data science learning modules, including machine learning and analytical forecasting content tailored to GFS operations.
• Impact: Expanded the technical skills of the demand planning team through applied, business-specific modules and worksheets. Supported more informed daily decision-making and reinforced a culture of continuous learning.