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Recently Updated on September 22, 2023

Decision Modelling For Business Analytics MIS775

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Decision Modelling For Business Analytics MIS775
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Subject Code – MIS775
Subject Name – Decision Modelling for Business Analytics
University Name – Deakin Business School, Australia

What is Decision Modelling for Business Analytics (MIS 775)?

Decision modelling for business analytics The MIS775 subject is taught to students pursuing a Master's degree at Deakin Business School in Australia. This subject is designed to provide students with an opportunity to upgrade their knowledge and understanding to build complex decision models and use advanced quantitative as well as network modelling techniques to develop practical solutions to

Subject Covered MIS775: Decision Modelling for Business Analytics?

The subject Decision Modelling for Business Analytics (MIS 775) includes a wide range of concepts such as sensitivity analysis, linear programming applications, nonlinear programming models, integer linear programming models, network modelling, decision analysis, building stochastic decision models, simulation modelling, quantitative risk analysis, and many more.

There is no denying that decision modelling for business analytics is a complex subject, including various technical terms, that requires a tremendous amount of time and dedication from students to study for their online exams. However, not all students can devote long hours and, as a result, seek online exam help services.

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More About Decision Modelling for Business Analytics

Non-linear programming models

Nonlinear programming is a mathematical technique for finding optimal solutions to optimisation problems with nonlinear functions as the objective function or some of the constraints.

Learning a Bit About Nonlinear Programming Models

The main types of nonlinear programming models are:

Pricing model

Advertising response and selection models

Facility location models

Portfolio optimisation models

What are linear programming models?

Linear Programming Models

Linear programming aka mathematical programming. Linear programming is the challenge of maximising or minimising a linear function under linear constraints. Linear programming makes use of mathematical or graphical techniques to use limited resources.

For a problem with various constraints, linear programming offers the best-in-class solutions.

Different types of linear programming models are

Advertising models

Employee scheduling models

Aggregate planning models

Blending models

Production process models

Financial models

Integer linear programming models

Integer linear programming expresses the optimisation of a linear function to a set of linear constraints over integer variables. The variables are integer values, and the objective function and equations are linear.

Integer programming is a powerful problem-solving tool used in economics and operations research. Assigning an integer value to each variable and thus optimising the linear equations is the principle of integer linear programming models.

3 Types of Linear Programming Models:

Capital budgeting models
Fixed-cost models
Cutting stock models

What are networking models, and what are the types?

A network is a database model designed to represent objects and their relationships. Schema is one of the unique features of networking models.

A network model consists of nodes (locations, either origins or destinations) connected by arcs (arrows representing shipping routes between places) and amounts (unit shipping costs) associated with the arches and nodes.

Types of networking models include:

Random network

Scale-free network

Hierarchical network

An Overview of Decision Analysis

Decision analysis is a very intricate method. This method is used for making strategic business decisions. These decisons can often be classified in 3 categories, that is systematic, quantitative, and visual. Decision analysis involves components of psychology, management practices, economics, and several instruments.

The following steps are followed in decision analysis:

1. Identify the decision alternatives (different strategies available to the decision-maker).
2. Identify the states of nature (future chance outcomes that may occur; these are not under the decision-maker's control).
3. Determine the payoff (consequence) for each combination of decision alternatives and possible products.
4. Assess the probabilities of the states of nature.
5. Develop a decision tree.
6. Taught that selecting decision criteria is crucial for choosing the best decision alternative.
7. Apply the requirements and make your decision.

Types of Business Decision Models

Decision modelling is a structured process used in organisations to predict the outcome of specific scenarios. This outcome offers commendable and precious insights for the business owners to make decisions for the betterment of the firm.

Deterministic Decision Models

When all inputs to a model, apart from decision variables, are fixed, then that model is called a deterministic model.

Stochastic decision models

Exhibiting random behaviour is the prominent character trait of inputs in this model. Instead of making a single "best guess" for each random information, we incorporate uncertainty into these models via probability distributions.

That, in turn, produces random variation in model outputs, which we quantify in terms of probabilities and statistics. This information is then used to guide our decision-making.


If, in any case, you require a deep conceptual understanding or want to score well in your semester exams, then reach out to us. Our expert team at Assignment Global offers highly cooperative and knowledgeable industry professionals to guide you through the Decision Modelling for Business Analytics MIS775 Exam. Better prioritise your tasks to score better on D-day. Don't panic; call us on our toll-free number.

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