Business Analytics Research Page
The Faculty of Business and IT plays an important role in advancing research in business analytics by fostering an environment of innovation and collaboration between business leaders, IT professionals, and academic experts. Through specialized research initiatives, the faculty explores cutting-edge analytical techniques, data management strategies, and decision-making models, bridging the gap between technology and business practice. By equipping students and researchers with the tools and knowledge to tackle real-world challenges, the faculty contributes to the development of actionable insights that drive business performance and growth in a data-driven economy.
The Business Analytics & AI group is a research group focused on the scientific process of transforming data into insights for improving decision-making within business organizations. Researchers and students in the lab use a variety of advanced computational and statistical methods to investigate problems in marketing and operations management.
Business analytics & Artificial intelligence research group
Area of expertise
The Business Analytics and AI Laboratory is a dedicated research group that specializes in leveraging data to generate valuable insights, ultimately enhancing decision-making processes within business organizations. Researchers and students at the lab employ cutting-edge computational and statistical techniques to delve into challenges and opportunities in the realms of marketing and operations management. Through their work, they aim to advance the scientific understanding of these fields and drive practical applications for improved business outcomes.
Research services
The facility offers a range of services to users in the private, public, and non-profit sectors. These services include:
- Data analysis and insights: Our team of experts provides comprehensive data analysis using advanced techniques and tools to extract meaningful insights. We assist organizations in understanding their data, identifying patterns and trends, and translating them into actionable recommendations.
- Predictive modeling and forecasting: Leveraging sophisticated predictive modeling techniques, we help organizations forecast future trends, demand, and customer behavior. This enables proactive decision-making and effective planning in various business domains.
- Optimization and decision support: We offer optimization services that help organizations optimize their operations, resources, and processes. By applying mathematical modeling and algorithms, we assist in finding the best solutions to complex problems, enhancing efficiency and maximizing outcomes.
- Market research and customer insights: We conduct market research studies to gain deep insights into consumer behavior, preferences, and market dynamics. Our expertise in analyzing consumer data enables organizations to develop effective marketing strategies and targeted campaigns.
- Machine learning and artificial intelligence: Our facility specializes in utilizing machine learning and artificial intelligence techniques to solve business challenges. We develop custom algorithms, predictive models, and intelligent systems to automate processes, improve decision-making, and drive innovation.
- Data visualization and reporting: We provide data visualization services that transform complex data into visually appealing and easily understandable formats. Our reports and dashboards enable organizations to grasp key insights quickly and make informed decisions.
- Training and workshops: We offer training programs and workshops to equip students with the knowledge and skills required to harness the power of data analytics and AI. These sessions cover various topics, including data analysis, machine learning, and decision support systems.
- Consulting and custom solutions: Our team provides personalized consulting services to address specific business challenges and develop tailored solutions. We collaborate closely with organizations to understand their unique needs and deliver practical, data-driven strategies.
Business Analytics Researchers
Salma Karray
Graduate program affiliations
At Ontario Tech: Masters and Doctoral programs in Computer Science, Modelling and Computational Science, and Masters program in Engineering Management.
At other universities: University of Waterloo (Management Science), Ryerson University (Industrial Engineering)
Research areas
- Operations research and marketing interface
- Supply chain management
- Retailing and channel management
- Marketing mix effectiveness
- Marketing decision models
- Movie marketing
- Customer lifetime value
- Loyalty programs
- Marketing analytics
- Applications of artificial intelligence in business.
Publications:
Publications can be found here.
Amir Rastpour
Graduate program affiliations
Master’s and Doctoral programs in Modelling and Computational Science, and Master’s program in Engineering Management.
Research areas
- Health care operations management
- Queueing theory
- Stochastic modeling
- Big data analytics
Publications:
Publications can be found here.
Nader Azad
Graduate program affiliations
Master's program in Engineering Management, Master's and Doctoral programs in Modelling and Computational Science.
Research areas
- Supply chain management
- Facility Location and Logistics
- Supply and demand risk management
- Exact solution methods
- Stochastic optimization
- Game theory.
Publications:
Publications can be found here.
Wei-Lin Wang
Research areas
- Empirical modeling in marketing
- Product portfolio management
- Innovation and new product launch
- Purchase timing behavior and dynamic customer management
- Customer engagement and content marketing
- Bayesian statistical methods
- Survival analysis
- Econometrics.
Amirmohsen Golmohammadi
Research areas
- Sustainable Supply Chain Management
- Game Theory
- Stochastic Optimization
- Supply Chain Risk Management