Develop a real-world forecasting project plan

Reference no: EM133082622

DATA4400 Data-driven Decision Making and Forecasting - Kaplan Business School

Assessment - Forecasting for a Business Problem

Your Task

Develop a real-world forecasting project plan/proposal based on the learnings from the course.

Assessment Description

This assessment seeks to simulate a real-world task that you may have to undertake in the future. Therefore, the assignment is non-prescriptive and requires you to pose a relevant, small, creative and significant problem to solve that could result in benefits to the organisation of choice.

In this assessment, you need to consider an organisation in an industry of your choice and articulate the steps this organisation needs to take to enable forecasting for data-driven decision making. You are required to analyse a sample data set to demonstrate expected forecasting outcomes.

You need to be familiar with the organisation and industry (e.g., where you have worked or are working, a future start-up company), NOT an organisation such as Amazon/Boeing/Qantas etc.

The report should address:
o Why forecasting would help this organisation given their current operations.
o The forecasting technique(s) you would recommend.
o Justification of your recommended forecasting technique(s) by analysis of a relevant sample dataset.
o The benefits of this forecasting project for the organisation (The benefit could be financial, such as Return on Investment (ROI) or societal benefits).

Assessment Instructions

• By Week 9 identify a company and industry you are familiar with that would benefit from a forecasting application. Note:
o The application needs to be based on forecasting (not some other aspect of analytics).
o Focus on a single, well defined (small) application.
o Sample datasets maybe sourced from: an organisation if you work there, public repositories such as kaggle

• By Week 12 draft some preliminary points pertaining to the report in class. You are encouraged to consider the current mode of operation, possible inefficiencies, available data and how this data may be used to provide efficiencies based on the concepts and techniques covered in the subject. Think of yourself as a consultant or a founder.

Attachment:- Data-driven Decision Making.rar

Reference no: EM133082622

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