Demand Analytics

Demand Analytics

Demand Analytics This course is part of Supply Chain Analytics Specialization Taught in English 22 languages available Some content may not be translated Instructor: Yao Zhao Enroll for Free Starts Mar 29 Financial aid available 18,762 already enrolled Included with • Learn more Course Gain insight into a topic and learn the fundamentals 4.6 (263

Description

Demand Analytics: Driving Strategic Decisions through Data Analysis

In today’s fast-paced business environment, companies are constantly seeking ways to gain a competitive edge and increase profitability. One key strategy that is increasingly being adopted is demand analytics. Demand analytics is the practice of using data analysis techniques to understand and predict customer demand for a company’s products or services. By leveraging demand analytics, businesses can more effectively plan their inventory, optimize pricing, and improve overall customer satisfaction.

One of the main benefits of demand analytics is its ability to provide businesses with valuable insights into customer behavior. By analyzing historical sales data, companies can identify patterns and trends that can help them predict future demand for their products. This information is crucial for businesses looking to optimize their inventory levels and ensure that they are meeting customer demand without overspending on excess inventory.

Additionally, demand

Demand Analytics

This course is part of Supply Chain Analytics Specialization

Taught in English

Some content may not be translated

Yao Zhao

Instructor: Yao Zhao

18,762 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(263 reviews)

Beginner level
No prior experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

What you’ll learn

  • Use data analytics to predict demand with trend (as in new product introduction), seasonality, price elasticity and other environmental factors.

  • Identify the key drivers for demand and quantify their impact.

  • Build, validate and improve forecasting models with both continuous and categorical variables.

Details to know

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Assessments

5 quizzes

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