2024-2025 Catalog

ISOM-837 Data Mining to Business Insights

This is the Master of Science in Business Analytics capstone class.  The students are expected to implement what they have learned from our business analytics degree program.  We will leverage the CRISP-DM Model to implement the CRISP-DM model.  The students will select for themselves the business area of interests from healthcare, finance, marketing and many others.

Business Understanding – The students will get a final opportunity to demonstrate their abilities in the area of business understanding and implement a comprehensive project to showcase to potential employers.

Data Understanding – Upon graduation the students will have obtained the understanding of what data is and how to leverage it to drive business decisions and generate better returns.

Data Preparation – As with all data projects, preparing the data can determine the success of the project.  The students must demonstrate their abilities to cleanse the data to produce reliable results.

Modeling – At this point the students will have many analytics’ tools on their toolbelts from T-tests to regression and time series forecasting.  In this course they will get the additional supervised methods (Classification, Decision Tree and Neural Networks); and unsupervised methods (Clustering and Associations).  They will put them to use to try to develop models to predict the answers to their business problems.

Evaluation – The students will use the many error checking methods to determine the validity of their results to determine if their alternative hypotheses are correct and reject their Null hypotheses.

Deployment/Storytelling – Finally, the students will take the story to the data users.  They will leverage a business intelligence tool of Tableau or Microsoft Power BI to present they story.

Credits

3

Prerequisite

Student has satisfied all of the following Student has satisfied all of the following Academic Unit (Computed) in the selection list Accounting, Accounting and Business Law, Business Administration, Business Administration Executive, Business Analytics, Business Law and Ethics, Entrepreneurship, Finance, Health Administration, Information System, Information Systems and Operations Management, INTO Sawyer Business School, Management and Entrepreneurship, Management Studies, Marketing, Moakley Center for Public Management, Public Administration, Public Administration and Health Administration, Sawyer Business School, Strategy and International Business Or Programs of Study any in the selection list Business Economics Major BSBA And Student has satisfied all of the following Student has completed all of the following course(s) ISOM 631 - Data Analytics with Python, ISOM 821 - Data Management and Modeling, ISOM 835 - Predictive Analytics and Machine Learning