In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs. Finally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 1
Compétences que vous apprendrez
Data Analysis, Business Analysis, Business Analytics, Business Process
Avis
DG
Aug 20, 2017
This was a great introductory course. I took this up to get a better perspective of business analysis and i can say with surety that it served a lot of purpose. Thanks Coursera and Duke Professor.
YW
Oct 03, 2016
a very interesting course on business metrics, talks about business metrics itself, jobs and companies in this field, also some examples of the application of business metrics like Amazon, Costco.
Welcome! This week we will explore business metrics - the critical numbers that help companies figure out how to survive and thrive. Inside every pile of data is a vital metric trying to get out! By the end of this week, you will be able to: distinguish business metrics from mere business data; identify critical business metrics such as cash flow, profitability, and online retail marketing metrics; distinguish revenue, profitability and risk metrics; and distinguish traditional from dynamic metrics. Included in this week’s course materials is a Cash Flow and P&L statement for Egger’s Roast Coffee, as a supplemental document, so be sure to review it carefully and refer to the glossary for key information.
Enseigné par
Daniel Egger
Executive in Residence and Director, Center for Quantitative Modeling
Jana Schaich Borg
Assistant Research Professor
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