MIS2005L Business Analytics

Academic Year 2023/2024

Business Analytics focuses on the use of mathematical, statistical,
data-oriented and computer-based techniques to help businesses operate
optimally. It seeks to understand what has happened and predicting
what is going to happen, and making optimal decisions to take
advantage of that.

The main techniques we consider are Correlation, Regression,
Time-Series Forecasting, Linear Programming, Classification, and
Clustering. For each technique we study, we learn how it works on
paper before proceeding to software-based implementations. We also
consider practical applications of these techniques, including some or
all of sales forecasting, credit risk, resource allocation, employee
assignment, investment, customer churn, inventory, and product mix.

Emphasis is placed not only on formulating and using models to obtain
solutions, but on understanding case study problems, choosing the
appropriate models, and interpreting and critiquing the results.