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Hadoop Blueprints

You're reading from   Hadoop Blueprints Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783980307
Length 316 pages
Edition 1st Edition
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
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Table of Contents (9) Chapters Close

Preface 1. Hadoop and Big Data 2. A 360-Degree View of the Customer FREE CHAPTER 3. Building a Fraud Detection System 4. Marketing Campaign Planning 5. Churn Detection 6. Analyze Sensor Data Using Hadoop 7. Building a Data Lake 8. Future Directions

Creating the solution outline


A churn predictor or churn detector is a program that takes a dataset containing the customer records, one row per customer, as input. Each row is then fed to the churn prediction algorithm which predicts whether a customer will churn or not.

The churn predictor can simply be used in batch mode to generate outbound emails or calls, or it can be integrated with the inbound interactive channels, such as a website or call center. Once we know that the customer is likely to churn, then we can offer him or her an incentive, such as a special offer, to make him change his or her mind.

We can take a proactive or reactive approach to churn prevention. In the reactive approach, we offer special incentives to the customer when he or she informs us that he would like to terminate the service. This gives us a few weeks' time to retain the customer. The reactive approach is not very relevant for this chapter because, once the customer announces that he or she is planning to...

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