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Opiniones y comentarios de aprendices correspondientes a Demand Analytics por parte de Universidad Rutgers del Estado de Nueva Jersey

4.4
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59 calificaciones
13 revisiones

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Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2. Better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact. AK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand. I hope you enjoy the course!...

Principales revisiones

AS

Apr 18, 2020

This course if good for beginners to get understanding of forecasting techniques. Also provides better understanding of Regression analysis and various modelling methods to Supply chain personals,

AK

Apr 29, 2020

Fantastic course on demand analytics.... topics are covered from basics, concepts have been taught in structured manner along with practical use cases and hands on

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1 - 13 de 13 revisiones para Demand Analytics

por Jyoti P G

May 01, 2020

The content was good and it was great learning experience. although i was in Demand forecasting role for last 10 years but never thought of applying analytics of demand planning before configuring the demand planning and forecasting ERP tool for the client.

por M M N A A

Apr 14, 2020

The course was very helpful to learn demand planning and forecasting. The lectures and the instructor were very clear and precise. Though addition of more rigorous demand planning models would be very helpful for the professionals.

por ANSHU S

Apr 18, 2020

This course if good for beginners to get understanding of forecasting techniques. Also provides better understanding of Regression analysis and various modelling methods to Supply chain personals,

por Aditya K

Apr 29, 2020

Fantastic course on demand analytics.... topics are covered from basics, concepts have been taught in structured manner along with practical use cases and hands on

por Lin F

May 11, 2020

Very well designed class. With one project progressively explained, the instructor teaches you 1. the concepts. 2. the standard. 3. the process.

por SREERAG R S

Jun 17, 2020

Thanks to Coursera and Professor Yao Zhao for providing the simplest and best way to get a hands-on experience of demand analytics

por Pasan L R

May 27, 2020

Very helpful course for beginners

por Rabindra K

May 11, 2020

excellent insight

por Victor V

Apr 20, 2020

in my opinion, there were missing some things, like other demand processes, also, the questions in the course, were a lil bit ambiguous. finally, there were missing information, for example, when we use the excel data analysis, there are other values in the results, and they´re not explained.

por Gajanan M G

Jul 06, 2020

Effective Use of MS Excel in demand analytics. Inclusion of more forecasting techniques can strengthen the course.

por Ghazi T A

Apr 06, 2020

Excellent in terms of learning and content. Gives practical guidance on how to create demand forecasting models.

por Mohamed P

Sep 26, 2019

Two models presented were very detailed.

Course content felt very less.

por Victoria

Mar 09, 2020

Issues with homework submission