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Analytique des clients, Université de Pennsylvanie

4.5
5,498 notes
1,205 avis

À propos de ce cours

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms...

Meilleurs avis

par ND

Jan 31, 2019

Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!

par AV

Sep 11, 2016

I really enjoyed the class. Analytics are such an important part of today's understanding of the customer but have other uses even beyond that. Professor Fader has really great insight on the subect.

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1,150 avis

par Nguyen Ngoc TU

Feb 16, 2019

Highly recommended to those are busy and want to learn new great thing on Business Analytics, Customer Analytics!

par DOROTHY SHAW

Feb 15, 2019

Great course

par Rakshit Kumar Singh

Feb 13, 2019

the mentors are all good but they are too fast with their lessons.

par Mithun

Feb 13, 2019

The questions have not be revised for correctness. Professor. Fader's quiz questions were hard to understand especially when negative connotations were used in the sentence 'not a beta....' OR ' not favor a probability....' . These questions threw me off so please rectify the quizzes here and in the future quizzes for my time & benefit as well as for the rest of the students. You do not have to make the questions easy but I do not want to spend time thinking of your underlying meaning but would rather put thought in solving for something other than English. Please have these quizzes re-read.

par Xinwei Luo

Feb 12, 2019

I got a broad view of basic business analytics, which is great. But some of the quiz is not that relevant to the lectures. I was confused by some of them. But for the overall course, not bad.

par Andres Najera

Feb 11, 2019

Pretty basic, so super helpful for people we are new at it.

par precious amamgbu

Feb 11, 2019

I enjoyed all the classes on Predictive, Prescriptive and Descriptive analytics. Professors Fader and Bradlow's classes stood out for me though. I watched the videos, sometimes, twice and read their papers. Currently, I am trying to apply Prof. Fader's clumpiness metric to the analysis I am currently doing, and so far, I am seeing some positive results. Prof. Bradlow's examples all felt so real, and gave a broad insight into how many of these companies utilize business anlaytics. I'm still reading their papers, as well.

Props to Prof. Iyengar and his donor example- Helping me out at work. Props to Prof. Berman, as well, with his presciptive analytics lessons.

par 王冰玉

Feb 11, 2019

This course provides a logical system of customers analytics and a series of practical insights to apply theories into real problems. I like the analytics applied part in week 5 the best.

par Dennis Driscoll Jr

Feb 10, 2019

Excellent engaging content, very enlightening.

par Phoebe Xu

Feb 10, 2019

Insightful information and those best practice business cases gave me a much deeper understanding of customer analytics. I have learnt a lot from this course which I truly believe that I can utilise them in my daily work. The quiz (some are quite difficult) really helped me to understand further of each topic. Highly recommend this course to who are interested in customer analytics or marketing analytics.