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Author : Berry,Michael J. A. Berry,Gordon Linoff
Publisher : Unknown
Page : 494 pages
File Size : 41,5 Mb
Release : 2000
Category : Marketing
ISBN : 9971513692
Author : Michael J. A. Berry,Gordon S. Linoff
Publisher : Wiley
Page : 512 pages
File Size : 54,5 Mb
Release : 1999-12-28
Category : Computers
ISBN : 0471331236
"Berry and Linoff lead the reader down an enlightened path of best practices." -Dr. Jim Goodnight, President and Cofounder, SAS Institute Inc. "This is a great book, and it will be in my stack of four or five essential resources for my professional work." -Ralph Kimball, Author of The Data Warehouse Lifecycle Toolkit Mastering Data Mining In this follow-up to their successful first book, Data Mining Techniques, Michael J. A. Berry and Gordon S. Linoff offer a case study-based guide to best practices in commercial data mining. Their first book acquainted you with the new generation of data mining tools and techniques and showed you how to use them to make better business decisions. Mastering Data Mining shifts the focus from understanding data mining techniques to achieving business results, placing particular emphasis on customer relationship management. In this book, you'll learn how to apply data mining techniques to solve practical business problems. After providing the fundamental principles of data mining and customer relationship management, Berry and Linoff share the lessons they have learned through a series of warts-and-all case studies drawn from their experience in a variety of industries, including e-commerce, banking, cataloging, retailing, and telecommunications. Through the cases, you will learn how to formulate the business problem, analyze the data, evaluate the results, and utilize this information for similar business problems in different industries. Berry and Linoff show you how to use data mining to:Retain customer loyaltyTarget the right prospectsIdentify new markets for products and servicesRecognize cross-selling opportunities on and off the Web The companion Web site at http://www.data-miners.com features:Updated information on data mining products and service providersInformation on data mining conferences, courses, and other sources of informationFull-color versions of the illustrations used in the book.
Author : Michael J. A. Berry,Gordon S. Linoff
Publisher : John Wiley & Sons
Page : 671 pages
File Size : 43,9 Mb
Release : 2004-04-09
Category : Business & Economics
ISBN : 9780471470649
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.
Author : Manfred Schwaiger,Otto Opitz
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642557217
This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
Author : Duane E. Sharp
Publisher : CRC Press
Page : 220 pages
File Size : 46,5 Mb
Release : 2002-07-19
Category : Business & Economics
ISBN : 9781040080177
This handbook provides a detailed description and analysis of the concepts, processes, and technologies used in the development and implementation of an effective customer relationship (CRM) strategy. It takes readers through the evolution of CRM- from its early beginning to today's sophisticated data warehouse-based systems. Illustrations enhance the textual presentation. Case studies provide insight and lessons-to-be-learned and describe the benefits of successful CRM implementations. The chapter on privacy issues covers the processes companies use to ensure the privacy of their customer data, the last chapter explores the benefits of a well-conceived CRM strategy.
Author : Federico Rajola
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 53,6 Mb
Release : 2014-07-08
Category : Business & Economics
ISBN : 9783642355547
An integrated view of IT and business processes through extended IT governance allows financial institutions to innovate operations which improve business and organizational performance. However, financial institutions still face challenges with CRM systems in delivering expected results due to lack of complete business integration. Increased exchange of knowledge between customers and the amount of such data available is steadily becoming a challenge for companies, especially in extending internal systems to global information systems with the purpose to collect and update data on a global scale. In this book, Prof. Rajola analyses different aspects of CRM systems taking both an organizational and a technological perspective. He adopts a theoretical framework to unpack issues associated with the need for companies to integrate operations and business processes. The emphasis is then drawn to development of effective CRM (and CRM 2.0) initiatives by making use of illustrative case studies of successful CRM systems implementation in the financial industry. The framework adopted in this book can be used by both scholars and managers to evaluate the interdependencies between operations, business processes, and CRM systems. .
Author : Chaturvedi
Publisher : Excel Books India
Page : 222 pages
File Size : 41,6 Mb
Release : 2006-03-30
Category : Business & Economics
ISBN : 8174464565
About the Book: Customer Relationship Management CRM was born in the 1990s in the West. In the initial phases, the over enthusiastic businesses invested almost US$ 400 billion. But, the very same businesses were disheartened very soon primarily because there were no * visible. And, there were no quick results mainly because 80 per cent of the investments were made in technology. 'CRM' meant 'technology' to them then; 'CRM' means 'technology' to them even today. However, no business need bother so long as it is ready to go by the 'human' aspect of CRM, and take technology only as a facilitator. This book is an attempt to present this 'human' side of CRM. The authors' belief is that, in the long-term, CRM can be successful only due to its 'human' face. The book is arranged in three Parts. Part I, Customer Relationship Management, contains the academic inputs titled as Customer is King, Customer Managed Relationships MINI-Marketing, Types of CRM, Building Blocks of CRM & CRM Strategies, Customer Relationship Management by Indian Firms, Customer Retention Strategies, HRM in CRM, and Implementing a Technology-based CRM Solution. Part II, Call Centre Management, covers the areas concerning the working of a call centre titled as The Call Centre, Call Centre Functionality, Team Building, Customer Relationship Management, Web-based Customer Support, and Contact Centre Glossary. Part III, Cases, gives a first-hand idea of the working of CRM in the more peculiar contexts, like public sector undertakings through five well documented cases. Contents Part I: Customer Relationship Management, Customer is King, Customer Managed Relationships-Mini-Marketing, Types of CRM, Building Blocks of CRM & CRM Strategy, Customer Relationship Management by Indian Firms, Customer Retention Strategies, HRM in CRM, Implementing a Technology-based CRM Solution, Future Trends in CRM Part II: Call Centre Management, The Call Centre, Call Centre Functionality, Team Building, Customer Relatio
Author : Konstantinos K. Tsiptsis,Antonios Chorianopoulos
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 48,9 Mb
Release : 2011-08-24
Category : Mathematics
ISBN : 9781119965459
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.
Author : Ian Gordon
Publisher : John Wiley & Sons
Page : 227 pages
File Size : 44,6 Mb
Release : 2013-03-21
Category : Business & Economics
ISBN : 9781118255858
Praise for MANAGING THE NEW CUSTOMER RELATIONSHIP “Gordon delivers an impressive synthesis of the newest methods for engaging customers in relationships that last. No organization today can succeed without the mastery of customer relationship management strategy fundamentals. But to win in the decades ahead, you must also understand and capitalize on the rapidly evolving social computing, mobility and customer analytics technologies described in this book. Checklists, self-assessments and graphical frameworks deliver pragmatic value for the practicing manager.” — William Band, Vice-President, Principal Analyst, Forrester Research Inc., Cambridge, MA
Author : Dr. Murlidhar Trivedi
Publisher : Lulu.com
Page : 257 pages
File Size : 46,9 Mb
Release : 2013-12-28
Category : Business & Economics
ISBN : 9781304751683
relationship management is a dealing with relations and its use in business
Author : Vijay Kotu,Bala Deshpande
Publisher : Morgan Kaufmann
Page : 447 pages
File Size : 51,8 Mb
Release : 2014-11-27
Category : Computers
ISBN : 9780128016503
Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples
Author : Wang, John
Publisher : IGI Global
Page : 1382 pages
File Size : 45,8 Mb
Release : 2005-06-30
Category : Computers
ISBN : 9781591405597
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.
Author : Eric Siegel
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 43,5 Mb
Release : 2013-02-19
Category : Business & Economics
ISBN : 9781118356852
You have been predicted—by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales. How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future—lifting a bit of the fog off our hazy view of tomorrow—means pay dirt. In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage behavior Chase Bank predicted Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves Why early retirement decreases life expectancy and vegetarians miss fewer flights Five reasons why organizations predict death How U.S. Bank and Obama's 2012 campaign calculated the way to most strongly influence each individual How IBM's Watson computer beat the human champs on TV's Jeopardy! How Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free What's predicted by Citibank, Facebook, Ford, Google, IBM, the IRS, Match.com, Pfizer, and Wikipedia A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. Whether you are a consumer of it—or consumed by it—get a handle on the power of Predictive Analytics.
Author : Antonios Chorianopoulos
Publisher : John Wiley & Sons
Page : 405 pages
File Size : 51,9 Mb
Release : 2016-01-19
Category : Mathematics
ISBN : 9781119011552
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.
Author : Federico Rajola
Publisher : Springer Science & Business Media
Page : 177 pages
File Size : 53,9 Mb
Release : 2013-03-19
Category : Business & Economics
ISBN : 9783540247180
Companies and financial institutions are employing operational information systems in an efficient way. While they have consolidated a strong level of knowledge in management information systems, there is still a lack of knowledge on the right way to apply customer relationship management (CRM) systems under a business perspective. Most of the companies are still having problems in evaluating how CRM can meet with the expected results. The level of complexity is perceived both under a technological and organizational point of view. A complete innovation process and heavy change management initiatives should be ensured in order to have effective and successful systems. This book offers a solid theoretical and practical perspective on how to face CRM projects, describing the most appropriate technologies and organizational issues that have to be considered. Some explaining cases have been included as well.
