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Data Analytics for Accounting and Finance

MAF3003
Closed
University of Toronto
University of Toronto
Toronto, Ontario, Canada
Andre Augusto Cire
Andre Augusto Cire
Associate Professor
(1)
4
Timeline
  • June 6, 2019
    Experience start
  • July 12, 2019
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Accounting Data analysis
Skills
business analytics modelling business consulting storytelling and data visualization
Learner goals and capabilities

Data analytics has become an essential tool for deriving actionable insights in accounting and finance, providing novel state-of-the-art methodologies for auditing, budgeting, and the overall management of the financials of a company. Students will employ the latest data-driven techniques to address an accounting/finance challenge your company faces, specifically using statistical tools and predictive models to gather insights and propose recommendations.

Learners
Any level
30 learners
Project
40 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables
  • A slide deck with conclusions and recommendations for a 10-minute consulting presentation.
  • A written report with details of the predictive models that were developed, including insights and overall recommendations that are inferred from such models.
  • All applicable source code.
Project timeline
  • June 6, 2019
    Experience start
  • July 12, 2019
    Experience end
Project Examples

Examples of projects include:

  • Identify patterns and anomalies in data for auditing purposes (e.g., to predict errors in financial statements or to enhance auditing effectiveness).
  • Find behavioural patterns in consumers and markets (e.g., to better understand client profiles and match them to more appropriate investment opportunities).
  • Forecast earnings and tax impacts.
Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Able to provide data.