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31%OFFJean Paul Isson - Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention - 9781119129752 - V9781119129752
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Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

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Description for Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention Hardback. Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Num Pages: 304 pages. BIC Classification: KJSM. Category: (P) Professional & Vocational. Weight in Grams: 666.
Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear example of ... Read more

Product Details

Publisher
John Wiley & Sons Inc
Format
Hardback
Publication date
2018
Condition
New
Weight
665g
Number of Pages
432
Place of Publication
New York, United States
ISBN
9781119129752
SKU
V9781119129752
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Jean Paul Isson
JEAN PAUL ISSON is a recognized worldwide expert and evangelist in Big Data Analytics and Advanced Business Analytics, with over 22 years of experience. He is the author of Win with Advanced Business Analytics and People Analytics in the Era of Big Data. As Global Vice President of Predictive Analytics & BI at Monster Worldwide Inc. ... Read more

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