| NAME OF THE COURSE |
| Business Planning & Forecasting |
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| CERTIFICATION |
| Certified Business Planning & Forecasting Professional |
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| COURSE OVERVIEW |
| BUSINESS FORECASTING is an estimate or prediction of future developments in business such as sales, expenditures, and profits. Given the wide swings in economic activity and the drastic effects these fluctuations can have on profit margins, it is not surprising that business forecasting has emerged as one of the most important aspects of corporate planning. Forecasting has become an invaluable tool for businesspeople to anticipate economic trends and prepare themselves either to benefit from or to counteract them. If, for instance, businesspeople envision an economic downturn, they can cut back on their inventories, production quotas, and hiring’s. If, on the contrary, an economic boom seems probable, those same businesspeople can take necessary measures to attain the maximum benefit from it. Good business forecasts can help business owners and managers adapt to a changing economy |
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| TRAINING DURATION |
| Total Training Hours : 22 Hours |
| Training Duration : 1 Week |
| Total Training Days : 4-5 Working Days |
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| TRAINING SCHEDULE |
| Weekdays (Sunday to Thursday) |
| Regular Sessions : 4 – 6 Hrs Per day (9am to 2pm or 3.00pm to 9.00 pm) |
| Food & refreshments Included |
| Weekends (Friday & Saturday) |
| Fast Track Sessions: 8 Hours per day (9am to 5pm) |
| Food & refreshments Included |
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| CERTIFICATION |
| Globally recognized certificate from “Kings Global Career Academy” |
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| TEST |
| No |
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| LEARNING AIDS |
| Yes |
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| COURSE MATERIAL |
| Hard & Soft Copies of Study Material |
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| LANGUAGE OF INSTRUCTION |
| English |
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| INSTRUCTOR HELPLINE |
| Yes |
| 1. Email |
| 2. Social Media (For Emergency requirements) |
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| REGISTRATION REQUIREMENTS |
| 1. Passport Copy |
| 2. Curriculum Vitae |
| 3. Passport size photographs |
| 4. Course Fee |
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| MODE OF PAYMENT |
| Cash / Cheque / Credit Card / Bank Transfer. |
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| ELIGIBILITY |
- Relationship managers, sales & marketing team who service corporate clients with complex needs
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- Corporate bankers performing a specialist function focusing on credit risk analysis, transactional banking, etc.
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- Professionals in the middle and back office of banks, in functions such as audit, legal, compliance and operations, who are responsible for the execution and risk management of complex facilities
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- Corporate treasurers, project sponsors, financiers, public sector professionals who are involved in financing infrastructure projects
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| COURSE BENEFITS |
| The course will help management to implement strategic objectives, strategies, processes, planning and controlling. One of the primary focuses of operations management is to effectively manage the resources of an organization so that the organization can maximize the potential of the products or services produced or offered by the company. |
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| COURSE CONTENTS |
| Introduction |
| Need for planning and forecasting |
| Supply Chain Flow and Product Hierarchy |
| The 4 Ws of the Forecasting Process |
| Introduction to Forecasting Techniques |
| Introduction to Business Planning and Forecasting Recap |
| Data Cleansing |
| Introduction to Data Cleansing |
| Detecting Outliers |
| Statistical Outliers |
| Business Event Outliers |
| Correcting Outliers |
| Outlier Detection and Correction Using Forecasting Software |
| Data Cleansing Recap |
| Simple Forecasting Models |
| Simple Methods and Their Utility |
| Introduction to Simple Moving Average |
| The Same As Last Year |
| Simple Forecasting Models Recap |
| Exponential Smoothing |
| Introduction to Exponential Smoothing |
| Exponential Smoothing Family |
| Understanding Additive and Multiplicative Seasonality |
| Smoothing Constants |
| Importance of data length |
| Exponential Smoothing – Pros and Cons |
| Choosing the Right Exponential Smoothing Model |
| Exponential Smoothing – Examples and Computations |
| Exponential Smoothing Modelling Recap |
| Introduction to ARIMA |
| Components of ARIMA |
| Reading the ARIMA model |
| Intermittent & Discrete Data Models |
| Intermittent Demand Series |
| Reading Croston’s Intermittent Demand |
| Pros and Cons of Croston’s Intermittent Data Model |
| Discrete Data Series |
| Intermittent and Discrete Data Models Recap |
| Error Measurement |
| Introduction to Error and Improvement Measurement |
| The measure of Model Fitment R – Squared |
| Behavioural Measure Bias |
| Popular Quantitative Measures |
| Process Measure Forecast Value Add |
| Analyzing the Error |
| Error Measurement Recap |
| New Product Forecasting Using Machine Learning |
| Introduction |
| Need For New Product |
| New Product Classification |
| Types of New Product Forecasting |
| Forecasting by Analogy |
| Similar Product Selection by Machine Learning |
| Best Product Pick |
| Forecasting for new to the world product |
| Planning Function & Process |
| Introduction to Planning Function |
| Key objectives and best practices |
| Key planner skills and success commandments |
| Functional roles and responsibilities |
| Consensus process and forecast cycle |
| Top-Down approach |
| Using POS and Syndicated Data |