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This is a comprehensive business planning and forecasting course that covers both qualitative and quantitative aspects such as the planning process and forecasting techniques.
The course has been designed by industry professionals with global work experience. The course will help you apply the learnings in real business situations. The design is less academic and more business oriented.
This course is suitable for planning professionals looking to sharpen their skills as well as students and others who aspire to become business planning professionals.
This course aims to help the aspiring business planner better understand the role's functional requirements and the current demand planner better use advanced forecasting software.This course tackles demand planning from a business point of view and subsequently does not cover the mathematical derivations of the models involved.
This course has been designed for a planning professional working as a part of the business functions like supply chain, finance or sales & marketing. The purpose of the course is to equip the planner with the basic principles of planning and business understanding of the quantitative techniques and their use.
The course does not delve upon the mathematical derivations of the forecasting models or statistical computations of various coefficients and parameters. It is expected that the business planner would be using a planning software that assist in such derivations and computations.
If you are interested in deep dive forecasting statistics then this course may not be a best fit for you. However, if you are a business professional aiming to ace knowledge on application of techniques then this course is best for you.
This lecture introduces the two most frequently misunderstood terms in this subject - plan and forecast and briefly presents the contents of the course that are to follow
This lecture explains why planning and forecasting are necessary functions and shows the two steps in business forecasting - creating a baseline forecast and correcting it where required. It also explains the roles each function plays in order to bridge the gap.
This lecture explains the components in a typical business set up - from a supply chain function. It also shows the various components in a business hierarchy, and the different levels at which planning and forecasting are carried out.
This lecture introduces the various techniques used for forecasting - qualitative and quantitative and takes a deeper look at time series methods
This lecture looks at the quantitative method of detecting outliers - Standard deviation and the qualitative one - from business knowledge and experience. It also describes why advanced forecasting softwares can carry out the first but the second is more common and neccesary.
These are errors identified by statistical methods. This lecture goes on to explain why not all statistical errors are business errors
Business Event Outliers - these are marked but not necesarily eliminated by data cleansing and is preferred by planners as the more practical method
Correcting Outliers is a method by which a statistical substitute us found for the outlier - this lecture explains the steps to the same and why this is a required feature of advanced forecasting systems
This lecture shows how outlier detection and correction is carried out in the advanced forecasting system Planamind with live examples
This lecture the first in this course - introduces simple models used in forecasting and explains why they are still relevant despite advanced systems being capable of generating complex forecasts easily. It also accentuates a primary rule of thumb in forecasting and its corollary
This lecture presents Simple Moving Average as a primary non complex method of forecasting and the steps to carry out the same
This lecture describes another model used in forecasting - here the timelines series dara from the previous year is used as the forecast or a fixed percent rise is used
This lecture the first in exponential smoothing explains introduces that model of forecasting. It explains the logic behind it,the steps to carrying it out , the most significant parameters and the three kinds of exponential smoothing models
This lecture explains the various members of the exponential smoothing family and the varying parameters that determine them in detail
This lecture explains additive and multiplicative seasonality, the steps to solving them and their formulas in detail
This lecture briefly explains the smoothing constants, alpha, beta and gamma, the features they employ and the parameters they define
This lecture explains the various arguments for and against Exponential Smoothing as a forecasting method
This lecture gives guidelines on how to choose the most apt member of the exponential smoothing model family for the data series
This lecture provides examples and computations of the various members of this family on an advanced forecasting software
Anamind helps organizations build business planning and forecasting capability. With simplicity at the core of our approach we offer a world class planning system - PLANAMIND, process consulting services, and training for business planning.
This course has been specifically designed by us to help planning professionals as well as aspirants of this function worldwide, to understand and build their skills in business planning. The course contains both quantitative and qualitative aspects of planning.
This course is business oriented and not purely academic in nature. We have incorporated our years of learning from global work experience. We have ensured that you are equipped to apply the learnings in real business situations and contribute to your career and as well as your organisation.
Course Design Leads
Dr. Steve Miller, Vice President, has over 40 years of vast expertise in business planning and supply chain function working in Fortune 500 companies like Goodyear as well as the teaching experience in Akron University and Herzing University.
He holds Bachelors & Masters Degree in Mathematics from Akron University, USA and Doctorate in Theology from Andersonville Theological Seminary, USA
Rishi Trivedi, CEO, is a Business Planning professional with over 15years of work experience in Fortune 500 companies like Apple, Hewlett Packard and Intel. His teaching experience includes assignments with University of Pune and Symbiosis International University.
He is a Chartered Accountant (India) as well as the Certified Professional Forecaster (IBF, USA). He also holds a Masters Degree in Economics from Pune University and Management Certification from IIM Calcutta.