Reader small image

You're reading from  The Economics of Data, Analytics, and Digital Transformation

Product typeBook
Published inNov 2020
PublisherPackt
ISBN-139781800561410
Edition1st Edition
Right arrow
Author (1)
Bill Schmarzo
Bill Schmarzo
author image
Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo

Right arrow

Marginal Costs and Sunk Costs

Marginal Cost is the incremental change in the total cost that arises when the quantity produced is incremented by one unit; that is, it is the cost of producing one more unit of a good.

Marginal Cost is the incremental cost associated with the production of the next unit of output. Marginal costs include all the costs that vary with the level of production. Costs that do not vary with the level of production are Fixed Costs. Costs that vary with the level of production are Variable Costs. For example, the marginal cost of producing an automobile will generally include the variable costs of labor and parts needed for the production of the additional automobile but not the fixed costs of the factory that have already been incurred.

Marginal Revenue is the revenue or value gained by producing one additional unit of a good or service. An organization that is seeking to maximize its profits should produce up to the point where the marginal cost equals...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
The Economics of Data, Analytics, and Digital Transformation
Published in: Nov 2020Publisher: PacktISBN-13: 9781800561410

Author (1)

author image
Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.
Read more about Bill Schmarzo