Entreprenuerial Business Forecasting
- Management Sciences
- 800 level
- 2 credit units
- 113 pages
- 17 units
This course introduces the concept of business forecasting and its importance in entrepreneurial ventures. It covers various forecasting methods, including quantitative and qualitative approaches, time series analysis, and exponential smoothing. The course also explores the limitations of forecasting, the factors affecting forecasting systems, and the steps involved in creating effective forecasts. Students will learn how to monitor and control forecasts, forecast profits and materials, and apply computer applications to business forecasting.
About this course
- Difficulty
- Intermediate
- Study hours
- 48 hours
- Maths
- Intermediate
- Content
- Theoretical, case study
- Practical work
- No
- Assignments
- Tutor marked assessments
- Final examination
What you'll read
The real module and unit structure of ENT807, taken from the course material NOUN publishes.
- UNIT 7: ASSUMPTIONS OF FORECASTINGPage 3
- UNIT 1: DEFINITION OF BUSINESS FORECASTINGPage 8
- UNIT 2: DETERMINANT OF BUSINESS FORECASTSPage 15
- UNIT 3: FORECASTING FOR NEW PRODUCTSPage 24
- UNIT 4: Importance of Business forecastingPage 30
- UNIT 5: LIMITATIONS TO BUSINESS FORECASTINGPage 37
- UNIT 6: Principles of ForecastingPage 43
- UNIT 7: ASSUMPTIONS OF FORECASTINGPage 52
- UNIT 8: STEPS IN FORECASTINGPage 58
- UNIT 9: CLASSIFICATION AND PURPOSES OF FORECASTPage 62
- UNIT 10: TYPES OF FORECASTSPage 66
- UNIT 11: METHODS OF FORECASTINGPage 73
- UNIT 12 Methods of Forecasting-Exponential Smoothing / Weighted Moving AveragePage 83
- UNIT 13: Computer applications to Business ForecastingPage 91
- UNIT 14: MONITORING AND CONTROLLING FORECASTPage 95
- UNIT 15: PROFIT FORECASTINGPage 99
- UNIT 16: MATERIAL FORECASTINGPage 105
One paragraph, so you can see how it reads
ENT807 · UNIT 1: DEFINITION OF BUSINESS FORECASTING
Forecasting can therefore be defined as the art and science of prediction of future events. It may involve taking historical data and projecting it into the future with some sort of mathematical models. Sometimes it is subjective or base on initiative prediction of future events.
What you should be able to do
- Understand the principles of business forecasting
- Apply various forecasting methods to real-world scenarios
- Analyze the limitations of forecasting techniques
- Monitor and control forecast accuracy
- Forecast profits and materials for entrepreneurial ventures
What it prepares you for
- Business Analyst
- Financial Analyst
- Market Research Analyst
- Supply Chain Manager
- Operations Manager
- Retail
- Manufacturing
- Finance
- Supply Chain
- Marketing
Where it gets hard
The units students slow down on, and what makes each one heavy.
- Module 6: Forecasting Methods
Unit 12: Methods of Smoothing / Weighted Moving Average
The application of exponential smoothing and weighted moving average requires a strong understanding of statistical concepts and mathematical calculations.
- Module 10: Material Forecasting
Unit 16: Material Forecasting
Statistical approaches to material forecasting involve complex calculations and require understanding of various forecasting models.
A suggested way through it
13 weeks, about 46 hours in total. Yours will differ.
- Week 1Module 1: Introduction to Business Forecasting
Unit 1: Definition of Business Forecasting · 2 hours
Define business forecasting and its components. Differentiate between forecasting and budgeting. Identify factors affecting forecasting accuracy.
Unit 2: Determinant of Business Forecast · 2 hours
Discuss the relationship between forecasting, planning, and goals. Identify internal and external factors influencing business forecasts. Analyze factors influencing demand for goods and services.
- Week 2Module 2: Demand and Importance of Forecasting
Unit 3: Demand Forecast for New Products · 2 hours
Explain the significance of demand forecasting for new products. Discuss types of demand forecasting. Analyze factors influencing the customer demand life cycle.
Unit 4: Importance of Business Forecasting · 2 hours
Discuss the importance of business forecasting in resource allocation. Explain the elements of business forecasting. Identify criteria for a good forecasting method.
- Week 3Module 3: Principles and Limitations
Unit 5: Limitations to Business Forecasting · 2 hours
Identify limitations to business forecasting. Analyze factors affecting forecasting systems. Suggest ways to make forecasting more effective.
Unit 6: Principles of Forecasting · 2 hours
Discuss the principles of forecasting. Explain guiding principles on market demand forecasting. Select suitable business forecasting techniques.
- Week 4Module 4: Forecasting Process
Unit 7: Assumptions of Forecasting · 2 hours
Discuss the assumptions of forecasting. Explain the features of business forecasting.
Unit 8: Steps in Forecasting · 2 hours
Describe the steps involved in forecasting.
- Week 5Module 5: Types and Classification
Unit 9: Classification and Purposes of Forecast · 3 hours
Classify different types of forecasts. Explain the purposes of forecasting.
- Week 6Module 5: Types and Classification
Unit 10: Types of Forecasts · 3 hours
Differentiate between quantitative and qualitative forecasting methods.
- Week 7Module 6: Forecasting Methods
Unit 11: Methods of Forecasting · 3 hours
Describe the methods of forecasting. Explain the time series forecasting method. Apply the moving average method.
- Week 8Module 6: Forecasting Methods
Unit 12: Methods of Smoothing / Weighted Moving Average · 3 hours
Apply exponential smoothing and weighted moving average methods. Analyze trend lines. Apply the least-squares method.
- Week 9Module 7: Computer Applications
Unit 13: Computer applications to Business Forecasting · 3 hours
Discuss computer applications in business forecasting. Explain the needs and uses of forecasts.
- Week 10Module 8: Monitoring and Control
Unit 14: Monitoring and Controlling Forecast · 3 hours
Explain how to monitor and control forecasts.
- Week 11Module 9: Profit Forecasting
Unit 15: Profit Forecasting · 3 hours
Define profit forecasting. Explain methods of profit forecasting.
- Week 12Module 10: Material Forecasting
Unit 16: Material Forecasting · 3 hours
Define material forecasting. Discuss approaches to material forecasting. Compare non-statistical and statistical approaches.
- Week 13Final Revision
Final Revision · 6 hours
Review all units and prepare for assignments and tutor-marked assessments.
Preparing for the exam
- Create a study schedule allocating specific time slots for each unit
- Practice applying different forecasting methods to sample datasets
- Review key formulas and concepts from Units 7-12
- Focus on understanding the assumptions and limitations of each forecasting technique
- Work through past TMA questions and assignments to identify areas for improvement
Questions students ask about this course
What is ENT807 about?
This course introduces the concept of business forecasting and its importance in entrepreneurial ventures. It covers various forecasting methods, including quantitative and qualitative approaches, time series analysis, and exponential smoothing. The course also explores the limitations of forecasting, the factors affecting forecasting systems, and the steps involved in creating effective forecasts. Students will learn how to monitor and control forecasts, forecast profits and materials, and apply computer applications to business forecasting.
How many units does ENT807 have?
ENT807, Entreprenuerial Business Forecasting, has 17 units across 2 modules, over 113 pages of course material. You can read it one unit at a time.
How many credit units is ENT807?
ENT807 carries 2 credit units, at 800 level in Management Sciences.
Is ENT807 hard?
ENT807 is rated intermediate level, with intermediate mathematical content. It is mostly theoretical and case study work.
How long does ENT807 take to study?
About 48 hours of study, spread across its 17 units.
How is ENT807 assessed?
ENT807 is assessed by assignments, tutor marked assessments and final examination.
What can I do with ENT807?
Business Analyst, Financial Analyst, Market Research Analyst, Supply Chain Manager and Operations Manager.