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A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining. Получить ссылку |
Photoshop CS2 Raw: Using Adobe Camera Raw, Bridge, and Photoshop to Get the Most Out of Your Digital Camera
Автор: Aaland Mikkel
Год издания:
The RAW file format is the uncompressed data file captured by a digital camera's electronic sensor. When your camera saves an image in RAW format, settings like white balance, sharpening, contrast and saturation are not applied to the image but are saved instead in a separate header. Because RAW files remain virtually untouched by in-camera processing, they are essentially the digital equivalent to exposed but undeveloped film.
This makes RAW an increasingly popular format with amateur and professional digital photographers, because it affords greater flexibility and control during the editing process-if you know how to work with RAW files.
Most digital camera manufacturers supply their own software for converting RAW data, as do some third party vendors. Increasingly, however, the RAW converter of choice is a plug-in included in the latest version of Adobe Photoshop, the most popular and widely-used digital image editing tool in the world. Adobe Photoshop CS2 is emerging as the best place to edit RAW images, and the best way to master this new format is with Photoshop CS2 RAW.
An important book dedicated to working with RAW in Photoshop, this comprehensive guide features a unique design that helps readers grasp the subject through visual instruction and prompts. The entire RAW process is explored, from shooting to using the Adobe plug-in converter and new Bridge navigation software. The primary focus of Photoshop RAW is, as the title suggests, Photoshop editing technique: automating RAW workflow, correcting exposures, extending exposure range, manipulating grayscale and working with the new DNG (Digital Negative) open standard that Adobe supports.
Presented by photographer Mikkel Aaland, a pioneer of digital photography and author of eight books, including O"Reilly"s Photoshop for the Web and the award-winning Shooting Digital, Photoshop CS2 RAW investigates and instructs in an accessible visual style. Required reading for professionals and dedicated photo hobbyists alike.
Продвигаем и рекламируем с помощью Google Analytics
Автор: Илья Мельников
Год издания:
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Social Capital and Strategy Effectiveness: An Empirical Study of Entrepreneurial Ventures in a Transition Economy
Автор: I. Manev
Год издания:
Although new ventures’ competitive positioning and their founders’ social networks are both recognized as important in the context of transition economies, not much is known about their multiplicative effect on performance. We build on the strategic management literature and social network theory to develop theoretical predictions about the role of competitive strategies and social capital for entrepreneurial performance. These are tested with survey data from Bulgaria. We find that both the venture’s competitive strategic positioning and the founder’s networking positively influence performance. The hypothesized moderating effect of networking for the relationship between differentiation strategy and performance received only tentative support. Contrary to expectations, we find a negative moderating effect of networking for the relationship of cost leadership with performance. These results suggest that the entrepreneur’s network plays a role in shaping how strategies influence performance by possibly upholding differentiation and deemphasizing cost leadership strategy. Implications for managerial practice and public policy are discussed.
The Art of Amusing
Автор: Frank Bellew
Год издания:
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