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Data Mining For Design And Marketing
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Book Synopsis Data Mining for Design and Marketing by : Yukio Ohsawa
Download or read book Data Mining for Design and Marketing written by Yukio Ohsawa and published by CRC Press. This book was released on 2009-01-26 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems. The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in detecting consumers’ needs. They also explore visualization tools based on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an adjacency matrix are just some of the novel approaches covered. The book explains how these methods can be applied to website design, the retrieval of scientific articles from a database, personalized e-commerce support tools, and more. Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. By embracing data mining tools, businesses can better understand the behavior and needs of their customers.
Book Synopsis Optimal Database Marketing by : Ronald G Drozdenko
Download or read book Optimal Database Marketing written by Ronald G Drozdenko and published by SAGE Publications. This book was released on 2002-03-26 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Check out the supplemental website! www.DrakeDirect.com/OptimalDM/ "Destined to be the definitive guide to database marketing applications, analytical strategies and test design." - Brian Kurtz, Executive Vice President, Boardroom Inc., 2000 DMA List Leader of the Year and DMA Circulation Hall of Fame Inductee "This book is well written with interesting examples and case studies that both illustrate complex techniques and tie the chapters together. The level of detail and treatment of statistical tools and methods provides both understanding and enough detail to begin to use them immediately to target marketing efforts efficiently and effectively. It is perfect for a course in database marketing or as a handy reference for those in the industry. " - C. Samuel Craig, New York University, Stern School of Business "This book should be studied by all who aspire to have a career in direct marketing. It provides a thorough overview of all essential aspects of using customer databases to improve direct marketing results. The material is presented in a style that renders even the technical subjects understandable to the novice direct marketer" Kari Regan, Vice President, Database Marketing Services, The Reader's Digest Association "Finally, practical information on database marketing that tackles this complex subject but makes it clear enough for the novice to understand. This book serves as more than a primer for any senior manager who needs to know the whole story. As one who has spent over 20 years of his career involved in publishing and database marketing, I have a real appreciation for how difficult it is to explain the finer points of this discipline, while keeping it understandable. This book does that admirably. Well done!" - Patrick E. Kenny, Executive Vice President, Qiosk.com "This book is especially effective in describing the breadth and impact of the database marketing field. I highly recommend this book to anyone who has anything to do with database marketing! -- works in or with this dynamic area." - Naomi Bernstein, Vice President, BMG Direct "Ron Drozdenko and Perry Drake have written a guide to database marketing that is thorough and that covers the subject in considerable depth. It presents both the concepts underlying database marketing efforts and the all-important quantitative reasoning behind it. The material is accessible to students and practitioners alike and will be an important contribution to improved understanding of this important marketing discipline. " Mary Lou Roberts, Boston University and author of Direct Marketing Management "I think it is a terrific database marketing book, it's got it all in clear and logical steps. The benefit to the marketing student and professional is that complex database concepts are carefully developed and thoroughly explained. This book is a must for all marketing managers in understanding database issues to successfully manage and structure marketing programs and achieve maximum results. " - Dante Cirille, DMEF Board Member and Retired President, Grolier Direct Marketing "An excellent book on the principles of Direct Marketing and utilization of the customer database to maximize profits. It is one of the best direct marketing books I have seen in years in that it is broad with specific examples. I am going to require new hires to read this (book) to get a better understanding of the techniques used in Database Marketing." - Peter Mueller, Assistant Vice President of Analysis, Scholastic, Grolier Division "This is an amazingly useful book for direct marketers on how to organize and analyze database information. It's full of practical examples that make the technical material easy to understand and apply by yourself. I strongly recommend this book to direct and interactive marketers who want to be able to perform professional database analyses themselves, or be better equipped to review the work of analysts. " - Pierre A. Passavant, Professor of Direct Marketing, Mercy College and Past Director, Center for Direct Marketing, New York University "The most useful database marketing reference guide published today. The authors do an excellent job of laying out all the steps required to plan and implement an effective database marketing strategy in a clear and concise manner. A must have for academics, marketing managers and business executives." - Dave Heneberry, Director, Direct Marketing Certificate programs, Western Connecticut State University and Past Chair, Direct Marketing Association "This book is essential for all direct marketers. It serves as a great introduction to the technical and statistical side of database marketing. It provides the reader with enough information on database marketing and statistics to effectively apply the techniques discussed or manage others in the environment " - Richard Hochhauser, President, Harte-Hanks Direct Marketing Ronald G. Drozdenko, Ph.D., is Professor and Chair of the Marketing Department, Ancell School of Business, Western Connecticut State University. He is also the founding Director of the Center for Business Research at the Ancell School. He has more than 25 years of teaching experience. The courses he teaches include Strategic Marketing Databases, Interactive/Direct Marketing Management, Product Management, Marketing Research, and Consumer Behavior. He is collaborating with the Direct Marketing Education foundation to develop a model curriculum for universities pursing the area of interactive or direct marketing. Working with an advisory board of industry experts, he co-developed the Marketing Database course in model curriculum. Dr. Drozdenko has co-directed more than 100 proprietary research projects since 1978 for the marketing and research and development of several corporations, including major multinationals. These projects were in the areas of strategic planning, marketing research, product development, direct marketing, and marketing database analysis. He also has published several articles and book chapters. He holds a Ph.D. in Experimental Psychology from the University of Missouri and is a member of the American Marketing Association, the Society for Consumer Psychology, and the Academy of Marketing Sciences. He is also the co-inventor on three U.S. patents. Perry D. Drake has been involved in the direct marketing industry for nearly 15 years. He is currently the Vice President of Drake Direct, a database marketing consulting firm specializing in response modeling, customer file segmentation, lifetime value analysis, customer profiling, database consulting, and market research. Prior to this, Perry worked for approximately 11 years in a variety of quantitative roles at The Reader's Digest Association, most recently as the Director of Marketing Services. In addition to consulting, Perry has taught at New York University in the Direct Marketing Master's Degree program since Fall, 1998, currently teaching "Statistics for Direct Marketers" and "Database Modeling." Perry was the recipient of the NYU Center for Direct and Interactive Marketing's "1998-1999" Outstanding Master's Faculty Award. Perry also lectures on testing and marketing financials for Western Connecticut State University's Interactive Direct Marketing Certificate Program. Along with Ron, he is collaborating with the Direct Marketing Education Foundation to develop a model curriculum for universities pursuing the area of interactive or direct marketing. Perry earned a Masters of Science in Applied Statistics from the University of Iowa and a Bachelor of Science in Economics from the University of Missouri. The book evolved from an outlined developed by an advisory board of industry experts that was established by the Direct Marketing Educational Foundation. Contemporary direct marketing and e-commerce could not exist without marketing databases. Databases allow marketers to reach customers and cultivate relationships more effectively and efficiently. While databases provide a means to establish and enhance relationships, they can also be used incorrectly, inefficiently, and unethically. This book looks beyond the temptation of the quick sale to consider the long-term impact of database marketing techniques on the organization, customers, prospective customers, and society in general. Ron Drozdenko and Perry Drake help the reader gain a thorough understanding of how to properly establish and use databases in order to build strong relationships with customers. There is not another book on the market today that reveals the level of detail regarding database marketing applications - the how's, why's and when's. Features/Benefits: Draws on numerous examples from real businesses Includes applications to all direct marketing media including the Internet Describes in step-by-step detail how databases are developed, maintained, and mined Considers both business and social issues of marketing databases Contains a sample database allowing the reader to apply the mining techniques Offers access to comprehensive package of academic support materials
Book Synopsis Data Mining and Market Intelligence for Optimal Marketing Returns by : Susan Chiu
Download or read book Data Mining and Market Intelligence for Optimal Marketing Returns written by Susan Chiu and published by Routledge. This book was released on 2008 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how marketing research and data mining techniques will boost return on investment.
Book Synopsis Data Mining Cookbook by : Olivia Parr Rud
Download or read book Data Mining Cookbook written by Olivia Parr Rud and published by John Wiley & Sons. This book was released on 2001-06-01 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.
Book Synopsis Statistical Modeling and Analysis for Database Marketing by : Bruce Ratner
Download or read book Statistical Modeling and Analysis for Database Marketing written by Bruce Ratner and published by CRC Press. This book was released on 2003-05-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional statistical methods are limited in their ability to meet the modern challenge of mining large amounts of data. Data miners, analysts, and statisticians are searching for innovative new data mining techniques with greater predictive power, an attribute critical for reliable models and analyses. Statistical Modeling and Analysis fo
Book Synopsis Business Modeling and Data Mining by : Dorian Pyle
Download or read book Business Modeling and Data Mining written by Dorian Pyle and published by Elsevier. This book was released on 2003-05-17 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. · Teaches how to discover, construct and refine models that are useful in business situations · Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations · Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data · Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.
Book Synopsis Data Mining Techniques by : Michael J. A. Berry
Download or read book Data Mining Techniques written by Michael J. A. Berry and published by John Wiley & Sons. This book was released on 2004-04-09 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.
Book Synopsis Data Mining for Managers by : R. Boire
Download or read book Data Mining for Managers written by R. Boire and published by Springer. This book was released on 2014-11-17 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT by : Michael J. A. Berry
Download or read book MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT written by Michael J. A. Berry and published by . This book was released on 2008-09-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.
Book Synopsis Data Mining Your Website by : Jesus Mena
Download or read book Data Mining Your Website written by Jesus Mena and published by Digital Press. This book was released on 1999-07-15 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turn Web data into knowledge about your customers. This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing information-usage and transactional data from a website. A company's website is a primary point of contact with its customers and a medium in which visitor's actions are messages about who they are and what they want. Data Mining Your Website will teach you the tools, techniques, and technologies you'll need to profile current and potential customers and predict on-line interests and behavior. You'll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers. Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes. The first book to apply data mining specifically to e-commerce Learn effective methods for gathering, managing, and mining Web customer information Use data mining to profile customers and create personalized e-commerce programs
Book Synopsis Data Mining Techniques in CRM by : Konstantinos K. Tsiptsis
Download or read book Data Mining Techniques in CRM written by Konstantinos K. Tsiptsis and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.
Book Synopsis Data Mining and Market Intelligence for Optimal Marketing Returns by : Susan Chiu
Download or read book Data Mining and Market Intelligence for Optimal Marketing Returns written by Susan Chiu and published by Routledge. This book was released on 2008-06-20 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign. Unlike books that are either too theoretical to be of practical use to practitioners, or too soft to serve as solid and measurable implementation guidelines, this book focuses on the integration of established quantitative techniques into real life case studies that are immediately relevant to marketing practitioners.
Book Synopsis Data Mining Explained by : Rhonda Delmater
Download or read book Data Mining Explained written by Rhonda Delmater and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manager's guide to customer-centric business intelligence teaches data mining in an accessible way, explaining how it drives next-generation customer relationship strategies. Readers learn how to find patterns such as customer buying habits within their huge stores of data.
Book Synopsis Java Data Mining: Strategy, Standard, and Practice by : Mark F. Hornick
Download or read book Java Data Mining: Strategy, Standard, and Practice written by Mark F. Hornick and published by Elsevier. This book was released on 2010-07-26 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API Free, downloadable KJDM source code referenced in the book available here
Book Synopsis Customer and Business Analytics by : Daniel S. Putler
Download or read book Customer and Business Analytics written by Daniel S. Putler and published by CRC Press. This book was released on 2012-05-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex
Book Synopsis Applied Data Mining by : Paolo Giudici
Download or read book Applied Data Mining written by Paolo Giudici and published by John Wiley & Sons. This book was released on 2005-09-27 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.
Book Synopsis Predictive Analytics for Marketers by : Barry Leventhal
Download or read book Predictive Analytics for Marketers written by Barry Leventhal and published by Kogan Page Publishers. This book was released on 2018-02-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors. Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics can be used to successfully achieve a range of business purposes.
