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Titlebook: Data Mining for Managers; How to Use Data (Big Richard Boire Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014 big data.

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書目名稱Data Mining for Managers
副標(biāo)題How to Use Data (Big
編輯Richard Boire
視頻videohttp://file.papertrans.cn/263/262950/262950.mp4
概述This book will help marketing executives, brand managers and IT professional understand what BIG DATA means and how to capture it in a way that is useful for marketing.It explains how the marketing fu
圖書封面Titlebook: Data Mining for Managers; How to Use Data (Big Richard Boire Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014 big data.
描述Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals understand how to capture and measure data for marketing purposes.
出版日期Book 2014
關(guān)鍵詞big data; brand; CRM; data mining; evaluation; growth; Information Technology (IT); marketing; social media;
版次1
doihttps://doi.org/10.1057/9781137406194
isbn_softcover978-1-349-48786-8
isbn_ebook978-1-137-40619-4
copyrightPalgrave Macmillan, a division of Nature America Inc. 2014
The information of publication is updating

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Using Data Mining for CRM Evaluation,odel for new Telco customers. Data mining can also be used to develop overall strategies, such as a broad segmentation strategy. At an even more general level, data mining an be used to determine whether the deployment of a CRM program makes sense
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Data Mining Process: Creation of the Analytical File with External Data Sources,en company is unable to collect solely on the basis of its internal activities. Another perspective on this is that this type of data represents information that is available to the public either free or at some cost. The level of data mining sophistication will determine the extent of these externa
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Types and Quality of Data,ing success. Despite the latest advancements in technology and software, which all purport to significantly improve data mining results, data is clearly the driver behind any successful data mining project. Having said that, it is important to understand that there are different types and levels of
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Segmentation,to segmentation. There are practical approaches and also scientific ones to segmentation. Rather than simply choosing to adopt one approach over the other, the correct approach will depend on the complexity of the given customer base and on the requirements of the current business challenge. For ins
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