Data Mining Techniques. For Marketing, Sales, and Customer Relationship Management

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

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 “A very comprehensive and practical book on managing relationships with existing customers in the age of social media! I particularly enjoyed reading chapters on teaching customers new behaviors, which were illustrated by excellent case studies.” – Jagdish N. Sheth, Ph.D. , Charles H. Kellstadt Professor of Marketing, Emory University, Atlanta, GA “The strategic breadth and depth of this book is impressive as Gordon explores the new customer and how to plan and manage the new customer relationship. I found his review of strategies, techniques and technologies for social, mobile, mass customization and customer analytics to be particularly insightful. Gordon urges marketers to live and breathe one-through-one marketing and to master social engagement techniques. The checklists, cases and examples make the content grounded and actionable. This is an important, current and detailed book to which every organization should pay close attention to improve customer relationships and create shareholder value.” – Marcus Ruebsam, Vice-President, Line-of-Business Marketing Solutions, SAP AG, Walldorf, Germany “There are many books on CRM, but I recommend this one because Gordon’s book does what others do not. He considers CRM strategy and evolves it to recognize a new customer, one who is always connected, socially available and influential. The book doesn’t just discuss many point solutions for specific marketing challenges; it integrates technology with strategy, people, process and customer analytics to develop relationships continuously. This book is a broad and deep exploration of CRM, providing practical, fact-based perspectives that every company can use to validate and rethink their customer and stakeholder relationships.” – Helmuth Cepeda, Small, Medium and Distribution Director, Microsoft Mexico, Mexico City, Mexico Marketing has changed fundamentally in the last few years and has become an entirely new discipline, one that focuses on a new customer and a new relationship, framed by new principles, strategies, processes, roles and tactics. Individual customers are economically targeted and served, and treated as segments of one rather than members of a target market. Word of mouth and recommendations are vital as customers influence one another more than a company can do within its own advertising or customer dialogs. Today’s customer is always online, accessible and connected. Now marketing is not only direct and customer-specific but a continuous process by which companies seek to engage customers and be progressively more relevant, attractive and valuable. This is the era of a new customer relationship—an individual relationship that is social, mobile and local, influenced by peers and shaped by cognitive, behavioural and social psychological principles. New techniques, processes and technologies transform what it means to implement marketing strategy and achieve improved business results. The new customer relationship requires that even those companies t

Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results. Practical exercises in each chapter help you apply and reinforce techniques as you learn. Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools Reveals how to target and retain profitable customers and avoid high-risk customers Helps you forecast sales and improve response rates for marketing campaigns Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising Covers social media, viral marketing, and how to exploit both effectively Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel.

In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr. Gabor Szabo, a Senior Data Scientist at Twitter, and Dr. Oscar Boykin, a Software Engineer at Twitter, Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media – examples include Twitter, Facebook, Pinterest, Wikipedia, Reddit, Flickr, Web hyperlinks, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions Szabo and Boykin wrote this book to provide businesses with the competitive advantage they need to harness the rich data that is available from social media platforms.

CRM today is much like BPR in the 1990s. It is the strategy of the 21st century. Everyone is jumping on the bandwagon, but few are doing it in a way that will reap long-term benefits. And while billions are being spent worldwide, as yet there is not one case study of a true CRM focused company that is achieving major business success. Why? Three years ago Quest Media introduced the National Customer Service Awards. The philosophy was to research, recognise and reward organisations that were pushing the barriers of customer management to new limits. Written by the editor of Customer Management magazine, this book draws on Quest's research to reflect the current thinking behind today's front-runners in the customer management field. The authors challenge accepted thought processes and give realistic timeframes for implementing the innovative thinking that will produce tomorrow's Customer Management Excellence. * An 'all you need to know about customer management' handbook – draws on the authors' vast experience to help unravel this complex topic * Provides case studies and examples of organisations that are award-winners in their innovative customer management techniques * Includes a glossary of terms and checklists to help readers benchmark their own progress in implementing successful customer management

Until recently, sales managers received no specific training for their jobs. However, selling has become more complex with the emergence of regulations and more sophisticated customers. Sales managers need to inspire and achieve sales results by managing teams of professionals and other resources. To do so, they need guidance on dealing with issues that arise in these broader aspects of their role. This concise guide for sales managers is based on a well-known sales management technique called the ‘customer portfolio matrix’. Beth Rogers weaves her version of this throughout, enabling sales managers to see their strategy from the customer’s point of view. Doing so will allow them to set realistic objectives, design new strategies that add real customer value, avoid wasting time on price-oriented customers and deploy resources for maximum results.

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.