Data Analysis and Decision Modelling

Subject code: CO5724

Businesses typically collect large volumes of data with relative ease. However data are often meaningless until they are analysed for trends, patterns and relationships and then become useful information. This MBA Global subject is designed to provide an integrated knowledge for understanding and managing information resources, building basic business intelligent system, interpreting business statistics, and developing practical decision models. It will equip students with decision-making tools and illustrate their applications. Acting on information to develop solutions and support decision-making is a key business skill.


Learning outcomes

Upon completing this subject, you will be able to:

  • Explain the importance of information as an organisational resource and to develop an appreciation for issues in managing data/information/knowledge

  • Apply graphical and numerical tools for organising, analysing, interpreting, and presenting data

  • Design, build and test computer based models for planning, decision making and control of business problems, Interpret model results, and make recommendations to stakeholders

  • Integrate the knowledge of Microsoft Excel and other application softwares with the knowledge of accounting and finance

Assessment

Assessment for this course will occur at various times across the seven-week study period. Tasks may include online quizzes, discussion board activity, portfolio development, case studies, reflection, literature reviews presentations and reports. Feedback will be provided to you throughout the study period as well as a final grade at the conclusion of the study period. Click here to find out more about this subject's assessments. 


This subject forms part of Data-driven Decision Making - one of three key areas studied in the online Master of Business Administration Global

Please note, course structure and content are subject to change. For information on all course subjects download the course guide.

 

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