这是一篇来自加拿大的关于数据分析和业务建模的作业代写

Quantitative Analysis

A scientific approach to decision-making referred to as

• Management Science
• Operations Research
• Decision Science

The use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about their business operations and make

better, fact-based decisions.

“a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving.” (Liberatore and Luo, 2010)

Marketing and Product development

• Which product to manufacture
• What would be customer preferences
• Which product to advertise/recommend to the customer

Finance

• Which stocks to invest in
• Should we go ahead with the merger/acquisition decision or not

HR

• How many employees to hire
• How many agents to be scheduled

Product recommendation

• As much as 75% of Netflix’s streaming video can be attributed to movie recommendation

Customer segmentation

• Identify segments of customers that behave similarly with regard to their interaction with the business

Predictive maintenance

• Failure patterns of various types of equipment are predictable
• Prediction of service activities and agent requirements

Predictive medical diagnosis

ANALYTICS CATEGORY

Descriptive analytics:

the use of data to understand past and current business performance and make informed decisions

What happened? What is happening?

Statistical measures such as means and standard deviations,probability distributions

Predictive analytics

predict the future by examining historical data, detecting patterns or relationships in these data, and then extrapolating these relationships forward in time.

What will happen? Why will it happen?

Decision analysis and decision trees

Regression models

Forecasting

Simulation

Prescriptive analytics:

identify the best alternatives to minimize or maximize some objective What should I do? Why should I do?

Linear programming

Integer programming, goal programming, and nonlinear programming

Tools

Database queries and analysis

Dashboards to report key performance measures

Data visualization

Statistical methods

Scenario and “what-if” analyses

Simulation

Forecasting

Data and text mining

Optimization

Social media, web, and text analytics

Model – an abstraction or representation of a real system, idea, or object.

• Captures the most important features
• A written or verbal description, a visual representation, a mathematical formula, or a spreadsheet.

Decision Models

Decision model – a logical or mathematical representation of a problem or business situation that can be used to understand,analyze, or facilitate making a decision.

Inputs:

• Data, which are assumed to be constant for purposes of the model.
• Uncontrollable variables, which are quantities that can change but cannot be directly controlled by the decision maker.
• Decision variables, which are controllable and can be selected at the discretion of the decision maker.

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