Unlock Business Insights Through Data-Driven Solutions
Timeline
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October 29, 2024Experience start
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December 10, 2024Experience end
Experience scope
Categories
Data analysis Competitive analysisSkills
business analytics microsoft excel key performance indicators (kpis) process mappingThe University of Lethbridge, Dhillon School of Business, is offering a unique opportunity for employers to collaborate with learners enrolled in the Business Analytics course. These learners are equipped with foundational knowledge in statistical and computing technologies, designed to analyze past business trends and develop future strategies. They are skilled in building models, process mapping, and defining key performance indicators (KPIs) that align with business goals. Employers who engage in this collaboration will provide mentorship and support, enabling learners to apply their academic knowledge to real-world business problems.
Learners
By participating in this experience, learners aim to enhance their abilities in data analysis, predictive modeling, and decision-making through hands-on business analytics projects.
Deliverables are subject to the employer's needs, but can include:
- A comprehensive final report detailing key findings and recommendations based on the analysis conducted.
- A virtual final presentation where learners will present their results and answer any questions.
Project timeline
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October 29, 2024Experience start
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December 10, 2024Experience end
Project Examples
Requirements
An ideal project would involve tasks that allow learners to apply data-driven techniques to solve business challenges. The focus should be on leveraging historical data to predict future trends and optimize decision-making processes.
- Sales Forecasting: Analyze historical sales data to develop predictive models for future sales trends, incorporating seasonality and market factors.
- Customer Segmentation: Use customer data to identify distinct segments and recommend targeted marketing strategies to increase engagement.
- Supply Chain Optimization: Analyze data on supply chain performance to identify bottlenecks and propose solutions for reducing lead times and costs.
- Financial Performance Analysis: Examine financial data to identify trends and provide recommendations on improving profitability.
- Process Improvement: Analyze business processes and data flows to identify inefficiencies and suggest optimization strategies.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
What is the primary business challenge you would like the students to address?
How frequently are you available to meet with the learners for progress updates?
Timeline
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October 29, 2024Experience start
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December 10, 2024Experience end