Simulation Research

Our research lab publishes dozens of papers every year to promote projects in our field of research. Among these papers are studies detailing our lab’s findings from simulations that replicate real-world conditions. We would like to collaborate with students to conduct our simulations. This will involve several different steps for the students, including: Familiarizing themselves with our research project and objectives. Familiarizing themselves with our simulation and modelling. Running simulations and comparing results to experimental data. Tuning simulation parameters to better match experimental conditions. Reporting the results of simulations. Bonus steps in the process would also include: Researching other simulations and models to compare our simulation against.

Potential Customer Segmentation Analysis

In this project, we hope to gain insight into customer segments and patterns by analyzing market data on buying behaviors. This will help us enhance and refocus our marketing efforts by being able to identify the needs of each segment, reach them most effectively, and address any pain points they face. Students will research customer’s behavior through sales trends of various companies, analyze the data, create predictive models, and provide recommendations for how to move forward. This will involve several different steps for the students, including: Analyzing market data to define different segments based on customer needs. Choosing appropriate metrics to examine the data, and analyzing it using data analysis software to identify trends and correlations. Creating predictive models for various outcomes the market may face. Creating a report with all findings from analysis conducted, including recommendations for next steps.

Data Entry

Our research lab publishes dozens of papers every year to promote projects in our field of research. Among these papers are studies detailing our lab’s findings from analyzing databases. We would like to collaborate with students in data entry. This will involve several different steps for the students, including: Familiarizing themselves with our database structure. Transferring data into our databases efficiently. Verifying the accuracy of the data in our databases and making relevant updates. Organizing and retrieving data as requested. Bonus steps in the process would also include: Providing assistance in creating new databases.

Data Analysis Research

Our research lab publishes dozens of papers every year to promote projects in our field of research. Among these papers are studies detailing our lab’s findings from data analysis. We would like to collaborate with students to analyze our raw datasets. This will involve several different steps for the students, including: Familiarizing themselves with our project’s objectives and analysis procedures. Checking for and correcting inconsistencies in the dataset. Calculating important results and plotting data in graphs and charts. Performing relevant statistical tests to determine the significance of results. Bonus steps in the process would also include: Recommending future areas of study.

Health & Wellness Program Implementation

Our company has hundreds of employees with diverse backgrounds and experiences. We would like to implement a formalized health and wellness program to elevate their overall well-being. However, we do not have an adequate understanding of what types of initiatives will be valuable to our employees. We would like to collaborate with students to gain an understanding of what components should be included and the implementation strategies available. This will involve several different steps for the students, including: Analyzing data from employee interviews and surveys. Researching current trends in corporate health and wellness. Developing a realistic health and wellness program. Providing metrics to justify the implementation of the program. Recommending steps to implement the program within our company. Revising and improving the proposed program based on feedback.

Analyzing Sales Trends

We believe we have a good handle on our customer but we are lacking some knowledge into the acquisition of our customers. It is important for us to go back to the data we have on our sales process to determine key trends and patterns that will help us make informed decisions for the future of our business. Some areas that we hope to analyze include, but are not limited to, sales cycle length, average sale price, average ROI/customer, buying behaviours, etc.

Data Analysis

We’d like students to help analyze our datasets to draw helpful insights. From this analysis, we hope to not only improve our processes and understanding but also gain insights that will enhance our strategy. These insights will be directly related to business outcomes.